Table of ContentsOverviewCompTIA SecAI+: AI Meets CybersecuritySecAI+ Exam Structure and RequirementsSecurity+ SY0-701 Objective RefreshThe CompTIA Xpert SeriesMarket Context and Skills GapWhat Candidates Should Do NowOverviewIn 2026, CompTIA — the Downers Grove, Illinois-based non-profit IT trade association — executed one of its most consequential certification overhauls in years. Three interconnected developments define this shift: the live launch of CompTIA SecAI+, a refresh of the widely held Security+ SY0-701 exam objectives, and the ongoing rollout of the CompTIA Xpert Series of expert-level credentials. Together, these changes are reshaping the certification pathways available to IT professionals across the United States.CompTIA SecAI+: AI Meets CybersecurityOn February 17, 2026, CompTIA officially launched CompTIA SecAI+ (exam code: CY0-001), its first professional certification dedicated entirely to the intersection of artificial intelligence and cybersecurity. The certification was created in direct response to the rapid emergence of advanced AI-driven security threats.SecAI+ is the first certification in CompTIA's new Expansion Series, designed to complement — not replace — existing credentials such as Security+, CySA+, and PenTest+. The certification was developed by over 400 industry subject matter experts and is vendor-neutral, applying across cloud providers, AI platforms, development frameworks, and deployment environments.Key skills validated by SecAI+ include: identifying AI-driven threats such as automated phishing and adversarial machine learning; implementing security controls to protect AI systems, data, and models; leveraging AI to automate workflows and accelerate incident response; and navigating global governance, risk, and compliance (GRC) frameworks for ethical AI adoption.SecAI+ Exam Structure and RequirementsThe CY0-001 exam covers four domains:Basic AI Concepts Related to Cybersecurity — 17%Securing AI Systems — 40% (the largest domain)AI-Assisted Security — 24%AI Governance, Risk & Compliance — 19%Candidates face a maximum of 60 multiple-choice and performance-based questions in 60 minutes, with a passing score of 600 on a 100–900 scale. CompTIA recommends candidates hold 3–4 years of IT experience with at least 2 years of hands-on cybersecurity experience before attempting the exam. Prior certifications in Security+, CySA+, and PenTest+ are also recommended. The exam is available via Pearson VUE test centers and through OnVUE online proctoring. The exam voucher is approximately $425 USD.The recommended preparation path is: Security+ → CySA+ → SecAI+.Security+ SY0-701 Objective RefreshIn mid-April 2026, CompTIA announced a significant refresh of the Security+ SY0-701 exam objectives. The update reflects accelerating changes in the US cybersecurity landscape, including the proliferation of AI-driven threats, expanded cloud attack surfaces, and new federal compliance mandates stemming from the 2025 National Cybersecurity Strategy implementation directives.This announcement directly affects hundreds of thousands of IT professionals across the United States who rely on Security+ as a foundational DoD 8570/8140-approved credential for federal and private-sector employment. The revised objective framework is set to go into effect on July 1, 2026. CompTIA has confirmed that all certifications earned under either objective version carry identical validity and renewal requirements. Candidates who have already purchased exam vouchers are advised to confirm their test date relative to this transition window.Looking further ahead, SY0-801 — the next full version of Security+ — is anticipated for late 2026, with Zero Trust expected to become a mandatory tested skill set.The CompTIA Xpert SeriesRunning in parallel, CompTIA is rolling out its Xpert Series throughout 2026 — the vendor's first foray into expert-level, vendor-neutral credentials. Three certifications anchor the series:CompTIA DataAI (formerly DataX, rebranded January 21, 2026): An expert-level data science credential targeting senior data scientists, quantitative analysts, data engineers, BI managers, and AI/ML specialists. DataAI is available now.CompTIA CloudNetX: An advanced cloud network engineering certification validating skills in designing and managing complex hybrid IT infrastructures, including multi-cloud orchestration and SD-WAN. Rolling out through 2026.CompTIA SecurityX (formerly CASP+): The successor to the CompTIA Advanced Security Practitioner credential, aimed at security architects, senior security engineers, and professionals responsible for an organization's overall cybersecurity readiness. Cloud security, automation, infrastructure as code, and zero trust architecture are central to the new CAS-005 exam objectives. CASP+ holders receive automatic SecurityX transition — no retake required.Market Context and Skills GapCompTIA's own research indicates that 56% of cybersecurity professionals already use AI tools daily, yet most organizations have no formal training on how to do so securely — a gap SecAI+ is directly designed to address. The cybersecurity skills gap of 3.4 to 4.8 million unfilled roles globally (per the ISC2 Cybersecurity Workforce Study) persists specifically because AI has not bridged it.According to Seth Robinson, vice president of industry research at CompTIA, this wave of certification updates addresses both market demand and a skills maturity gap that organizations are only beginning to close. AI has forced certification bodies to release specialized credentials faster than most professionals can keep pace with, and CompTIA's 2026 overhaul is a direct response to that pressure.What Candidates Should Do NowSecAI+ candidates: The exam is live via Pearson VUE. Focus study on the Securing AI Systems domain, which accounts for 40% of the exam.Security+ candidates: Decide whether to test before or after the July 1, 2026 objective transition. Both versions carry identical credential validity. Begin incorporating the new AI security and CMMC 2.0 content areas if targeting the post-July objective set.Xpert Series candidates: DataAI is available now. CloudNetX and SecurityX are rolling out through 2026. CASP+ holders receive automatic SecurityX transition with no retake required.All candidates: Use updated official CompTIA exam objectives as the primary study framework. Structured, exam-focused training resources — including SPOTO's updated preparation materials at ccedump.spoto.net — are critical given the tightened domain weighting across all updated exams. SourcesNetwork World – CompTIA Launches SecAI+ Certification (May 7, 2026)SPOTO – CompTIA Reshapes IT Certification Landscape in 2026: SecAI+, Security+ Objective Refresh, and the Xpert SeriesCompTIA Official – SecAI+ Certification V1 Exam DetailsTraining Camp – New Certifications Coming in 2026: What's Actually Worth Your TimeTraining Camp – I Took the CompTIA SecAI+ Beta Exam: Here Is What You Need to KnowCIAT – CIAT Announces CompTIA SecAI+ Certification TrainingCBT Nuggets – Best CompTIA Certifications to Earn in 2026Vision Training Systems – CySA+ CS0-004: Key Updates for 2026 Exam

Table of ContentsOverviewWhat the Lab DoesWhy AI Demands New NetworkingThree Technology PillarsEcosystem PartnersBroader Industry ContextRelevance for IT Certification ProfessionalsOverviewOn May 21, 2026, Nokia officially announced the launch of its AI Networking Innovation Lab at its Sunnyvale, California facility — a dedicated center built to co-innovate with AI and cloud partners and fast-track the development of next-generation networking technologies for artificial intelligence infrastructure. The announcement marks one of the most concrete moves in the industry to address the specific and growing demands that AI workloads place on data center networks.What the Lab DoesThe lab is designed to accelerate innovation in high-performance networking technologies for large-scale AI training and real-time inference by designing, testing, and validating new data center networking architectures built for AI at scale. It functions as both a testing ground for Nokia Validated Designs and a co-innovation hub with global AI and cloud partners — validating real-world scenarios, integrating commercial technologies, and advancing next-generation networking solutions. According to Nokia, the lab brings together advanced AI networking protocols, cutting-edge switching silicon and hardware platforms, and new architectural concepts designed specifically for AI-driven infrastructure, all tested in close collaboration with a global ecosystem of partners.Why AI Demands New NetworkingAI workloads are fundamentally changing how data center networks must operate. The performance, scale, and precision required to support large-scale AI training and distributed, real-time inference place unprecedented demands on networking infrastructure. Specifically, AI training runs on large GPU clusters and depends on lossless, deterministic networking fabrics to handle massive traffic spikes within tight timeframes, while AI inference workloads depend on ultra-low-latency networks to deliver real-time responses and coordinate model execution in microseconds. Nokia states that minor networking inefficiencies can slow applications, stall training runs, waste GPU minutes, and drive up costs — making the network a major constraint on AI performance, scale, and return on investment.Three Technology PillarsThe AI Networking Innovation Lab is structured around three fundamental pillars:Technology Innovation: The lab provides a dedicated environment for AI partners to experiment with next-gen solutions across the full networking stack — driving emerging standards forward with new approaches to protocols, switching silicon, congestion control, real-time telemetry, and automation. The lab includes access to cutting-edge switching silicon such as the latest Tomahawk chipset for industry-leading switching capacity.Ecosystem Collaboration: Progress depends on a strong ecosystem of silicon manufacturers, GPU developers, system, storage and test vendors, and cloud platforms working together to create highly compatible AI-ready solutions, facilitating joint interoperability testing and aligned roadmaps.Validation: The lab serves as a co-innovation venue for testing interoperability and optimizing end-to-end integrations, reducing integration risk, accelerating release cycles, and ensuring customers can confidently deploy future-proof, ecosystem-ready solutions at scale.Nokia also actively participates in standards bodies such as the Ultra Ethernet Consortium (UEC) and is a platinum member of the Open Compute Project (OCP), participating in workstreams like Ethernet Scale-up Networking (ESUN).Ecosystem PartnersEarly technology partners collaborating in the lab include AMD, Everpure, Keysight, Lenovo, Nscale, Supermicro, VIAVI, and Weka. AMD noted that co-developing solutions within the lab ensures its enterprise AI offerings are tested with Nokia data center switches on real-world workloads and network demands. Keysight reported being able to emulate AI training workloads at scale across a range of AI transports — from UEC and RoCEv2 to emerging lossless fabric architectures — helping give operators and hyperscalers the validated insights needed for large-scale deployment.Broader Industry ContextNokia's lab launch does not exist in isolation. It reflects a broader, accelerating global trend reshaping the networking industry in 2026:The global data center networking technologies market was estimated at ~$46 billion in 2025 and is projected to reach $103 billion by 2030, driven largely by AI adoption across telecom, IT, banking, and government sectors.The data center Ethernet switch market grew 62% year-over-year in Q3 2025, with 800GbE switches surging 91.6% sequentially as AI-driven infrastructure demand accelerates.Combined AI infrastructure spending by Alphabet, Amazon, Meta, and Microsoft is projected to exceed $700 billion in 2026.OpenAI, AMD, Microsoft, Broadcom, Intel, and NVIDIA have jointly developed the Multipath Reliable Connection (MRC) protocol, released through the Open Compute Project — a new transport protocol addressing congestion and resilience limitations of traditional RoCEv2 in large-scale AI training clusters.Traditional networking protocols like RoCEv2 struggle with trillion-parameter AI model training because they support only a single path per connection, preventing full GPU-to-GPU bandwidth utilization and leading to congestion and head-of-line blocking at scale.Relevance for IT Certification ProfessionalsFor networking professionals and those pursuing IT certifications — including Cisco (CCNA, CCNP, CCIE), Nokia, and cloud-related credentials — the rise of AI-native networking infrastructure is rapidly reshaping the skill set employers demand. Key areas of growing importance include:AI-driven network automation and AIOps for proactive monitoring, troubleshooting, and self-healing networks.Data center fabric design — including Ultra Ethernet, lossless fabrics, and high-radix switching for GPU cluster connectivity.Zero Trust and identity-first security as agentic AI workflows introduce non-human identities and new attack surfaces.Emerging transport protocols such as MRC that go beyond traditional RoCEv2 to support modern AI training workloads.Wi-Fi 7 deployment and management, with 59% of IT organizations expected to initiate Wi-Fi upgrades in 2026 and 49% citing AI-driven management as a key vendor selection factor.Professionals who align their certifications and training with these AI-era networking realities will be best positioned to meet enterprise demand in 2026 and beyond. Platforms like SPOTO provide targeted exam prep to help candidates stay ahead of these fast-moving technology shifts. SourcesNokia Newsroom: Nokia Launches AI Networking Innovation Lab (May 21, 2026)Nokia Blog: Building the Future of AI-Native Networks (May 14, 2026)OpenAI: Supercomputer Networking to Accelerate Large Scale AI Training – MRC (May 5, 2026)AMD Blog: Next Gen Networking Transport for Large Scale AI Training (2026)Network World: 8 Hot Networking Trends for 2026SiliconANGLE: Extreme Connect 2026 – Agentic AI, Platform ONE and Enterprise Networking (May 6, 2026)Network-Switch.com: Cisco News May 2026 – AI Infrastructure Surge & Security AcquisitionHostNOC: 7 Key Takeaways From IDC AI In Networking Report 2026

Cisco Q3 FY2026: Record Revenue, $9B AI Networking Forecast & Astrix Security AcquisitionPublished: May 24, 2026  |  Category: Networking & InfrastructureTable of ContentsQuarter at a GlanceAI Infrastructure Orders & Revised GuidanceSilicon One G300: The Hardware Behind the SurgeAstrix Security Acquisition & Zero Trust for Agentic AIBroad-Based Global DemandRestructuring: 4,000 Job CutsInfrastructure Implications for IT ProfessionalsQuarter at a GlanceCisco Systems (NASDAQ: CSCO) reported its Q3 FY2026 earnings on May 13, 2026, delivering what the company described as its strongest financial quarter on record. Total revenue reached $15.8 billion, up 12% year-over-year, beating the top end of prior guidance. Non-GAAP EPS came in at $1.06, also ahead of consensus. Networking revenue alone hit $8.8 billion, a 25% year-over-year increase, driven by accelerating hyperscaler and enterprise demand for AI-ready infrastructure.AI Infrastructure Orders & Revised GuidanceThe headline figure of the quarter was AI infrastructure. Cisco disclosed $1.9 billion in AI infrastructure orders from hyperscalers during Q3 alone — up from $600 million in the same period a year ago. The year-to-date total reached $5.3 billion, already surpassing the company's original full-year target. As a result, Cisco raised its full-year FY2026 AI infrastructure order forecast from $5 billion to $9 billion, representing more than 4x growth compared to the prior fiscal year. Full-year AI infrastructure revenue guidance was similarly raised to $4 billion, up from $3 billion. Total product orders grew 35% year-over-year; excluding hyperscalers, orders were still up 19%, reflecting broad-based global demand rather than a single-segment spike.Silicon One G300: The Hardware Behind the SurgeThe primary hardware driver of Cisco's AI networking growth is the Silicon One platform. In Q2 FY2026, Cisco shipped its one millionth Silicon One chip. The flagship G300 architecture, unveiled at Cisco Live EMEA in Amsterdam in February 2026, delivers 102.4 Tbps of full-duplex Ethernet switching capacity within a single device. It supports up to 512 ports via 224G SerDes and features Intelligent Collective Networking — combining a fully shared packet buffer, path-based load balancing, and proactive network telemetry. The G300 powers the new Cisco N9000 and Cisco 8000 systems, which are designed for hyperscalers, neoclouds, sovereign clouds, and enterprise AI data centers. These systems are available in 100% liquid-cooled configurations that, alongside new high-density optics, improve energy efficiency by nearly 70%. Cisco also positions the G300-based systems as competitors to Nvidia's NVLink in the scale-up AI fabric segment — a market that has historically been dominated by proprietary interconnects.Astrix Security Acquisition & Zero Trust for Agentic AIOn May 4, 2026, Cisco announced its intent to acquire Astrix Security, a Tel Aviv-based Non-Human Identity (NHI) security startup founded in 2021. The acquisition targets a critical and underserved security gap: governing and protecting non-human identities such as API keys, OAuth tokens, service accounts, and autonomous AI agents. Cisco framed the deal as extending Zero Trust architecture to what it calls the "agentic workforce" — the growing ecosystem of AI agents operating autonomously inside enterprise environments. Astrix's platform enables agentless discovery, lifecycle management, and real-time behavioral threat detection for NHIs across SaaS, IaaS, and PaaS environments. Cisco plans to integrate Astrix's capabilities into Cisco Identity Intelligence, Cisco Secure Access, Duo, and Splunk. The urgency is underscored by Cisco's own data: only 24% of organizations currently have proper guardrails and live monitoring in place to control AI agent actions, and just 31% feel fully capable of securing their agentic AI systems. Concurrently, Cisco issued a critical security advisory on May 6, 2026, addressing Authentication Bypass vulnerabilities in the Cisco Identity Services Engine (ISE), with administrators urged to apply patches immediately.Broad-Based Global DemandGeographic order growth was strong across all regions: Americas product orders grew 35% year-over-year, EMEA grew 39%, and APJC grew 25%. Campus networking orders grew more than 25% year-over-year, and data center switching orders grew more than 40% year-over-year. Cisco's optics business alone generated more than $1 billion in quarterly orders — a signal that optical transport infrastructure has become a primary, rather than secondary, component of AI data center buildouts. Cisco's stock surged approximately 13–19% following the earnings release, significantly outperforming the broader tech sector.Restructuring: 4,000 Job CutsAlongside the record results, Cisco announced a 5% workforce reduction affecting approximately 4,000 employees, expected to cost up to $1 billion. The company is reallocating investment toward AI, security, and cloud networking. CEO Chuck Robbins characterized the rebalancing as part of positioning Cisco for what he called its strongest year ever, with Q4 FY2026 full-year revenue guidance set in the range of $62.8 billion to $63 billion.Infrastructure Implications for IT ProfessionalsCisco's Q3 results carry concrete implications for network engineers, infrastructure architects, and IT certification candidates. The shift toward AI-native networking infrastructure — high-radix Ethernet fabrics, 800GbE+ switching, liquid-cooled systems, and integrated optics — is accelerating the retirement of legacy architectures. The agentic AI security gap highlighted by the Astrix acquisition signals that Zero Trust skills, NHI governance, and identity-based access control are becoming mandatory competencies. For professionals pursuing Cisco certifications (CCNA, CCNP, CCIE) or broader networking credentials, understanding AI-ready infrastructure design, Silicon One architecture, and agentic security frameworks is increasingly essential for real-world deployment readiness. Platforms such as SPOTO offer exam training and practice materials aligned with the evolving Cisco certification curriculum to help IT professionals stay current in this fast-moving landscape. SourcesCisco Systems, Inc. – Q3 FY2026 Earnings Press Release (SEC Filing)Cisco Q3 2026 Earnings Reveal AI Networking's New Power Shift – KAD8Cisco Q3 FY 2026: AI Networking Momentum Drives Outlook – Futurum ResearchCisco Q3 FY2026 Earnings: Revenue Hits $15.8 Billion – Sci-Tech TodayCisco Q3 2026 Earnings: Record $15.8B Revenue Amid 4,000 Job Cuts – CX FoundationCisco Smashes Q3 FY2026 With Record $15.8B Revenue – TradingKeyCisco Announces New Silicon One G300 – Cisco Investor RelationsSecuring the Agentic Workforce: Cisco Announces Intent to Acquire Astrix Security – Cisco BlogsCisco Moves to Acquire Astrix Security to Tackle Non-Human Identity Risks – SecurityWeekCisco Acquiring Astrix Security to Extend Zero Trust to the Agentic Workforce – NAND ResearchCisco News May 2026: AI Infrastructure Surge & Security Acquisition – Network-Switch.comCisco (CSCO) Q3 2026 Earnings Transcript – The Motley Fool

Table of ContentsOverview: The 2026 PMP Exam ChangeWhat Is Changing on July 9, 2026Domain Weightings and Structure ShiftsExam Format and Structural UpdatesUpdated Eligibility RequirementsTake It Now or Wait? The U.S. Candidate DecisionCareer and Salary Impact for U.S. ProfessionalsHow to Prepare with SPOTO Overview: The 2026 PMP Exam Change The Project Management Professional (PMP)® certification is undergoing its most significant transformation in years. PMI has officially released the PMBOK® Guide – 8th Edition, and tied to it is a fully revamped PMP exam launching on July 9, 2026. For the hundreds of thousands of U.S. project management professionals eyeing this credential, the clock is ticking. The current exam remains available only through July 8, 2026—after that date, all candidates must sit the updated version. What Is Changing on July 9, 2026 This is not a cosmetic refresh. The 2026 update introduces reweighted domains, expanded content areas, updated terminology, and a more interactive testing experience. The new exam integrates focus areas including artificial intelligence (AI) in project environments, sustainability, adaptive leadership, and measurable value delivery. PMI's revisions are driven by its periodic role delineation study, which analyzes how project managers operate across modern delivery environments globally. The updated Examination Content Outline (ECO) shifts away from process memorization toward real-world decision-making, scenario-based judgment, and strategic business alignment. The exam now expects candidates to demonstrate not just what project management processes are, but when and how to apply them in context. Domain Weightings and Structure Shifts The three-domain structure—People, Process, and Business Environment—is preserved, but the weighting has changed significantly. The most dramatic shift is in the Business Environment domain, which increases from 8% to 26% of the exam. This elevates strategic thinking, stakeholder influence, and value delivery to a central pillar of the certification rather than a minor component. The Process domain remains the largest portion of the exam but has evolved in focus: the emphasis moves toward delivering value and continuously measuring outcomes rather than executing tasks by the book. The People domain retains its focus on leadership, communication, and stakeholder management, reinforcing that PMP-certified professionals must be effective leaders—not just project coordinators. Predictive, agile, and hybrid delivery approaches remain integrated across all domains. Candidates must understand how to choose and adapt the right approach based on context, complexity, and organizational environment. Exam Format and Structural Updates Several structural changes accompany the content updates: Exam time increases from 230 minutes to 240 minutes. Pretest questions double from 5 to 10. Question types will include multiple-choice (single and multiple response), drag-and-drop, and practicum hands-on items involving tools, data, and case-study scenarios. The total number of questions remains at 180. The introduction of practicum-style questions signals a more applied and scenario-heavy exam experience, consistent with PMI's long-standing position that the PMP tests judgment in realistic project situations—not rote recall. Updated Eligibility Requirements PMI has also updated the PMP eligibility framework, effective 2026, to create a more globally consistent certification pathway: Candidates now have a full 10-year window to complete their PMP certification cycle once they enter the eligibility phase—significantly more flexibility than before. Required project management experience is standardized at 3 to 5 years, depending on educational background, removing previous regional variation. The 35-hour project management training requirement and the application/audit process remain unchanged. Starting in late Q4 2026, live training hours will only count if delivered by a PMI Authorized Training Partner (ATP) or an eligible accredited academic program. Take It Now or Wait? The U.S. Candidate Decision With the July 9, 2026 cutoff weeks away, U.S. candidates face a binary choice. The key factors: Take the current exam before July 8 if you are already mid-preparation with established materials. The current exam has over five years of proven study resources, predictable question patterns, and calibrated practice exams. Prepare for the new exam if you are just starting out or expect to test after July 9. Updated study resources from PMI and authorized training partners became available April 14, 2026. The credential is identical either way. The PMP certification does not indicate which exam version a candidate passed. There is no "old" or "new" PMP designation on the certificate. Rushing an underprepared attempt is a costly mistake. If work or scheduling constraints prevent consistent study before July 8, waiting for the new exam is the strategically sound choice. Career and Salary Impact for U.S. Professionals The business case for PMP certification in the United States remains compelling. According to PMI's latest salary survey, U.S. PMP-certified professionals report a median salary of $135,000—approximately 24% higher than non-certified peers. Globally, PMP holders reported a 17% higher median salary across 21 countries. PMI projects global demand for project talent could grow 64% from 2025 to 2035, potentially creating a shortfall of 29.8 million qualified professionals. The 2026 exam's expanded emphasis on business environment and strategic value alignment is expected to make the PMP an even stronger signal of executive readiness in sectors such as IT, consulting, banking, pharma, and public sector modernization. How to Prepare with SPOTO Whether you are targeting the current exam before July 8 or the updated exam from July 9 onward, SPOTO's PMP certification training at ccedump.spoto.net is built to align with both the current and incoming Exam Content Outlines. SPOTO provides scenario-based practice questions, expert-led study resources, and structured preparation paths designed to maximize your pass rate. With the transition deadline imminent, choosing the right training partner is critical. Start your preparation today and earn a credential that delivers measurable career and salary results. SourcesPMI – New PMP® Exam Coming July 2026 (Official PMI Page)PMI Blog – PMP Exam Change: What It Means in 2026Project Management Academy – 2026 PMP Exam Changes and PMBOK 8 Updates ExplainedProject Management Academy – PMP Exam Changes 2026: PMBOK 8th Edition Impact GuidePMTI – PMP Exam 2026 Update & PMBOK 8th Edition OverviewSpoclearn – PMP 2026 Updates: Exam Changes, PMI Trends & Career ImpactPMP Road – PMP Exam 2026: Take It Now or Wait? Decision Guide + Study PlanCertification Academy – The PMP Exam Change In July 2026: Comprehensive GuidePocket Prep – What's Changing on the PMP Exam in 2026?

Table of Contents1. Event Overview2. Why AI Is Redefining Network Architecture3. Lab Structure: Three Core Pillars4. Key Technology Partners5. Broader Industry Context6. Implications for IT Professionals & Certification Candidates1. Event OverviewOn May 21, 2026, Nokia announced the launch of its AI Networking Innovation Lab, a new facility designed to drive co-innovation with AI and cloud partners and accelerate the development of next-generation networking technologies for AI infrastructure. Located within Nokia's Sunnyvale, California facility, the lab serves as an innovation hub where Nokia will work across advanced AI networking technologies, architectures, and ecosystems with a variety of partners to help shape the future of data center networking. The announcement positions Nokia at the center of a fast-moving global shift toward AI-native network design.2. Why AI Is Redefining Network ArchitectureAI workloads are fundamentally changing how data center networks must operate. The performance, scale, and precision required to support large-scale AI training and distributed, real-time inference place unprecedented demands on networking infrastructure. Nokia is adopting a new approach to how technologies are integrated, tested, and deployed from the ground up for the AI era.Specifically, AI workloads require a fundamental rethink of network architecture that prioritizes: reliability by design (eliminating failure domains), deterministic performance (predictability over best-effort behavior), multidimensional scalability (supporting intensive AI training and inferencing traffic patterns), real-time operational awareness (automation that understands network state in near-real time), and end-to-end validation (testing AI networks under realistic conditions across a multivendor ecosystem).3. Lab Structure: Three Core PillarsThe AI Networking Innovation Lab is built upon three fundamental pillars:PillarDescriptionTechnology InnovationA dedicated space for AI partners to experiment with next-gen solutions across the entire networking stack — driving emerging standards forward with pioneering approaches to new protocols, switching silicon, congestion control, real-time telemetry, and automation.Ecosystem CollaborationA co-innovation venue where Nokia collaborates closely with leading AI technology partners to test interoperability and optimize end-to-end integrations, reducing integration risk and accelerating release cycles.ValidationDevelopment of Nokia Validated Designs (NVDs) that minimize deployment risk and accelerate time to value, enabling end-to-end validation under real AI networking conditions, covering training and real-time inference workloads.The lab also provides access to cutting-edge switching silicon (including the latest Tomahawk chipset for industry-leading switching capacity), new architectural models, and emerging protocols and features.4. Key Technology PartnersThe lab serves as a testing ground for Nokia Validated Designs and a co-innovation hub with global AI and cloud partners — validating real-world scenarios, integrating commercial technologies, and advancing next-gen networking solutions. Early technology partners collaborating in the lab include AMD, Everpure, Keysight, Lenovo, Nscale, Supermicro, VIAVI, and Weka.Partner quotes underscore the strategic significance. Keysight, for example, emulated AI training workloads at scale across a range of AI transports — from UEC and RoCEv2 to emerging lossless fabric architectures — to help accelerate AI network adoption by giving operators and hyperscalers validated insights needed for confident, large-scale deployment. Nscale noted that the engineering rigor behind Nokia Validated Designs reflects the kind of innovation needed to enable next-generation AI infrastructure.5. Broader Industry ContextNokia's lab launch is part of a sweeping global trend. The telecom industry in 2026 is shifting from infrastructure to intelligence. As Juniper Research noted, operators can no longer compete on network strength alone — success now depends on how intelligently they use emerging technologies to deliver value, efficiency, and trust across every layer of connectivity.Concurrently, Huawei held its 2026 Global AIDC Industry Summit in Dongguan, China on May 15, 2026, unveiling a grid-interactive AI data center (AIDC) strategy centered on "3+1" innovations (Watt, Heat, Bit, and Construction). The summit gathered nearly 1,000 global leaders and introduced the concept of the TokEnergy Index — a new metric measuring end-to-end energy-to-computing-power conversion efficiency. Both Nokia and Huawei's moves signal that AI infrastructure and network architecture are now the primary battlegrounds for global telecom leadership.On the market side, the global Network Communication Equipment Market was valued at USD 30 billion in 2024 and is forecast to reach USD 45 billion by 2033, growing at a CAGR of 6.0%. The deployment of 5G technology and increasing enterprise digitization continue to drive this expansion.6. Implications for IT Professionals & Certification CandidatesNokia's AI Networking Innovation Lab has direct implications for IT certification and career development in the network communications field:AI-native networking skills are now critical. Engineers working on 5G, data center switching, and cloud infrastructure must understand new AI networking protocols, congestion control, and lossless fabric architectures.Certifications covering AI + 5G are increasingly valuable. Programs such as Nokia Bell Labs' 5G Certification (including the AI and Data Driven 5G Networks specialty), Cisco's AI-ready network architecture certifications, and related vendor credentials are growing in market relevance.The ecosystem is multi-vendor. The lab's emphasis on interoperability and Nokia Validated Designs across AMD, NVIDIA GPUs, Lenovo, and others means professionals need vendor-agnostic as well as vendor-specific competencies.Data center networking roles are expanding. As demand for AI infrastructure continues to grow, data center networking has become one of the most critical foundations of the global AI ecosystem — creating significant hiring demand for certified network engineers.For candidates preparing for CCNA, CCNP, Nokia NRS, or other network certifications, understanding AI's impact on network architecture — including concepts like deterministic fabrics, Ultra Ethernet Consortium (UEC) standards, and RoCEv2 — is becoming a baseline expectation in 2026. SourcesNokia Newsroom – Nokia launches AI networking lab to drive co-innovation with partners and accelerate next era of AI-native data center networking (May 21, 2026)GlobeNewswire – Nokia launches AI Networking Innovation Lab (May 21, 2026)Nokia Blog – Building the future of AI-native networks (May 14, 2026)CXO Insight Middle East – Nokia launches AI lab to fast-track AI-native data center networking (May 21, 2026)Benzinga – Nokia Targets AI Infrastructure Market With New Innovation Lab (May 21, 2026)PR Newswire – Huawei Unveils its Grid-Interactive AIDC Strategy (May 18, 2026)Data Center Dynamics – Huawei unveils its grid-interactive AIDC strategy (May 2026)Market Research Intellect – Global Network Communication Equipment Market Size and Forecast (2026–2033)RCR Wireless – 5 Telecom Trends for 2026: Intelligence, Automation, and Connectivity RedefinedTelecompaper – Nokia unveils California lab dedicated to AI-native networking innovations (May 21, 2026)

Table of ContentsProgram Expansion OverviewNew AI-Driven Security TracksStructural and Exam ChangesJuly 15, 2026 Program OverhaulNSE 8 / FCX Expert-Level UpdatesImpact on the US Cybersecurity WorkforceKey Dates and DeadlinesExam Preparation Guidance Program Expansion Overview Fortinet announced a significant expansion of its Network Security Expert (NSE) certification program in May 2026, introducing new AI-driven security training tracks designed to address the rapidly evolving cybersecurity threat landscape across United States enterprises and government agencies. The announcement reflects Fortinet's commitment to keeping its certification ecosystem aligned with real-world security demands, particularly as AI-powered threats and automated attack vectors become increasingly prevalent. The update marks one of the most substantial overhauls to the NSE certification structure in recent years, affecting candidates at multiple levels — from entry-level NSE 1 through advanced NSE 7 and NSE 8 tracks. New AI-Driven Security Tracks The centerpiece of the 2026 update is the introduction of two new specialty tracks: FortiAI Analyst Track — Covers deployment and management of Fortinet's AI-assisted SOC tools, including FortiAI-Detect and FortiDeceptor integration. Automated Security Operations Track — Focuses on Security Fabric orchestration, SOAR playbook development using FortiSOAR, and AI-driven incident response workflows. Both tracks are positioned at the NSE 6 and NSE 7 levels, requiring candidates to hold a valid NSE 4 — FortiGate Security or NSE 4 — FortiGate Infrastructure certification as a prerequisite. Fortinet confirmed that existing NSE 6 and NSE 7 holders will not automatically receive credit for the new tracks; a separate exam attempt is required. The newly introduced tracks span NSE levels 4 through 7 and also cover AI-Assisted Threat Intelligence — focusing on leveraging FortiAI for real-time threat correlation and automated response workflows — as well as Security Operations Center (SOC) Automation, covering AI-driven playbook creation within FortiSOAR and FortiSIEM platforms. These additions reflect Fortinet's broader Security Fabric strategy and its integration of FortiAI capabilities across its product portfolio, announced at Accelerate 2026 earlier this year. Structural and Exam Changes Fortinet restructured its certification program to better align with real-world job roles and modern security architectures. In late 2025 and early 2026, rather than abandoning the NSE structure entirely, Fortinet brought back the NSE numbering system as exam levels while keeping named certifications as the credentials professionals actually earn. The result is a hybrid model blending role-based certifications with the familiar NSE 1–8 progression. As of 2026, most Fortinet certifications require either a single core exam or a core and an elective exam. Fortinet also standardized pricing: certifications with one exam cost $400; those with two exams cost $200 per exam. All Fortinet certifications now carry a two-year expiration date for FCP and FCSS levels, with renewal requiring passage of the same exam or a later certification. Alongside the new tracks, Fortinet revised several existing NSE exams to incorporate updated question banks and scenario-based assessments reflecting FortiOS 7.6 and FortiManager 7.6 releases. All updated exams are available through Pearson VUE testing centers across the United States and via authorized online proctoring. July 15, 2026 Program Overhaul Effective July 15, 2026, the Fortinet NSE Certification program will undergo the following enhancements: The number of available certification levels will increase from 5 to 8. Four training tracks will be maintained: Secure Networking, Security Operations, Cloud Security, and SASE. Industry certifications will be introduced. Recertification rules will be updated. The certification-eligible product range will be expanded. New comprehensive NSE 7 exams will be introduced. Recertification points for NSE 8 certifications will be introduced, and the NSE 8 expiration period will be updated to 2 years. Pearson VUE has confirmed that exam delivery will be suspended on July 13, 14, and 15 to facilitate the transition. Candidates are advised to plan their exam scheduling around this window. NSE 8 / FCX Expert-Level Updates The 4th-generation version of the NSE 8 certification is among the most significant changes in the history of Fortinet's expert program. The previous model — a written exam followed by a single large practical exam — has been replaced with a modular, fully practical approach. The new NSE 8 Practical Exams are scheduled to begin on July 15, 2026, delivered using a modular, hybrid delivery model. The Core module is available only during on-site exam sessions held at selected Fortinet offices and events, while elective modules can be taken either on-site or remotely through ProctorU. Under the new structure, candidates pursuing the FCX certification for the first time must complete an NSE 8 Core practical exam module and one NSE 8 Specialization practical exam module. Candidates must pass a specialization module within one year of passing the Core module. Additionally, candidates must hold valid NSE 4 (version 7.6 or later), NSE 5 or NSE 6, and NSE 7 (version 7.6 or later) certifications before they are eligible to attempt the Core practical module. The FCX certification remains active for three years from the date of completion. The last delivery date of the legacy FCX Practical Exam (NSE8_870) was March 15, 2026. Impact on the US Cybersecurity Workforce The United States continues to face a documented cybersecurity skills gap, with industry estimates placing the number of unfilled cybersecurity positions in the US at over 500,000 as of early 2026. According to Fortinet's 2026 Cybersecurity Skills Gap Report, approximately 4 million cybersecurity positions remain unfilled globally, with the United States accounting for roughly 750,000 of those vacancies. US-based employers in sectors including finance, healthcare, and critical infrastructure have increasingly listed Fortinet NSE certifications — particularly NSE 4, NSE 7, and NSE 8 — as preferred or required credentials in job postings. The new AI-focused tracks are expected to further elevate the program's relevance in hiring decisions throughout 2026. US federal contractors and managed security service providers (MSSPs) operating under CMMC 2.0 and FedRAMP frameworks have shown particular interest in the FortiAI Analyst Track, given increasing requirements for demonstrable AI governance competencies within government-adjacent network environments. Several US Department of Defense contractors have already indicated they will require the new AI specialization badges as part of internal upskilling mandates beginning Q3 2026. Several large US-based channel partners — including Presidio, ePlus, and Trace3 — have already updated their internal training roadmaps to incorporate the new tracks, with cohort-based training scheduled to begin in late May 2026. Fortinet has also expanded partnerships with US community colleges and universities under its Academic Partner Program, offering subsidized access to NSE training content for students enrolled in cybersecurity degree programs. Key Dates and Deadlines DateEvent April 23, 2026Updated exam blueprints published on Fortinet's training portal May 1, 2026NSE4_FGT-7.6 and NSE5_FAZ-7.4 go live; legacy versions enter grace period May 31, 2026Last day to sit legacy NSE4_FGT-7.4 and NSE5_FAZ-7.2 under prior objectives June 15, 2026NSE6_FAI-1.0 and NSE7_ASO-7.6 exams available at Pearson VUE testing centers nationwide July 1, 2026Updated NSE8 written exam blueprint takes effect July 13–15, 2026Pearson VUE exam delivery suspended for program transition July 15, 2026Full NSE program overhaul takes effect; new NSE 8 Practical Exams begin September 30, 2026Recertification deadline for NSE 4–7 holders whose credentials expire in 2026 Exam Preparation Guidance Fortinet has released updated official courseware through the Fortinet Training Institute, including free self-paced modules on the NSE Training portal. All Fortinet self-paced courses are completely free, covering video lectures, documentation, and course materials for every certification level from FCF through FCSS and FCX. Candidates preparing for the updated NSE exam lineup should focus on the following areas: FortiOS 7.6 feature set (particularly SD-WAN enhancements, ZTNA 2.0 policy models, and inline sandbox integration); FortiAI-Detect configuration including AI model tuning and anomaly threshold management; FortiSOAR playbook design covering incident triage automation; and FortiAnalyzer 7.4 reporting including log normalization and multi-ADOM management. For candidates seeking structured preparation aligned to the revised NSE objectives, platforms such as SPOTO's Fortinet certification exam training portal provide practice exams, study guides, and lab simulations mapped to current NSE exam blueprints — covering NSE 4 through NSE 7 and updated to reflect the 2026 exam blueprint changes. SourcesFortinet Expands NSE Certification Program with New AI-Driven Security Training Tracks in 2026 – SPOTOFortinet Expands NSE Certification Program with New AI Security Tracks in 2026 – SPOTOFortinet Expands NSE Certification Program with New AI-Driven Security Tracks in 2026 – SPOTOFortinet Cybersecurity Certification Exams – Pearson VUEFortinet Certified Expert Cybersecurity – Fortinet Training InstituteWhat is Changing in the NSE Certification Program in 2026? – Fortinet Training Institute Help DeskNSE Exam Release Notices – New and Discontinued Exams – Fortinet Training Institute Help DeskFortinet NSE Certification Changes: What Do These Updates Mean for Cybersecurity Pros? – CBT NuggetsHow to Get Certified for Cybersecurity – Fortinet OfficialFortinet NSE 8 v4 Certification Updates in 2026 – NitizSharma.com

Table of ContentsOverviewCCNP Enterprise & Security ChangesCCIE Lab Exam: New AI Troubleshooting ModuleNew DevNet Specialist – AI Infrastructure CertificationMarket Impact & US Workforce DemandWhat Candidates Must Do Now Overview Cisco Systems rolled out a sweeping set of certification exam updates effective late April 2026, impacting multiple tracks including CCNP, CCIE, and DevNet. The changes were formally communicated through Cisco's Learning & Certifications portal and have drawn significant attention from IT professionals and training providers across the United States. The updates align with Cisco's ongoing effort to keep its certification portfolio relevant to evolving network infrastructure demands, including AI-driven networking, cloud-native environments, and zero-trust security frameworks. CCNP Enterprise & Security Changes The following certification tracks received updated exam blueprints effective April 2026: CCNP Enterprise – Core exam (350-401 ENCOR) updated to version 2.0. Key topic additions include expanded coverage of Cisco Catalyst Center (formerly DNA Center) automation workflows, SD-WAN policy configuration in multi-cloud environments, and enhanced wireless 6GHz band management. CCNP Security – Concentration exams revised to include zero-trust architecture objectives, AI-powered threat detection, and cloud-native security models. CCIE Enterprise Infrastructure – Lab exam updated with new automation and AI-ops scenarios. Corporate training departments at major U.S. technology firms and managed service providers have already begun revising internal training curricula in response to Cisco's announcement. Training providers and bootcamp organizers across the US have been advised by Cisco to update courseware by June 1, 2026. CCIE Lab Exam: New AI Troubleshooting Module Cisco has modified the CCIE lab exam delivery format for the Enterprise Infrastructure and Security tracks. The eight-hour practical lab now includes a mandatory AI-assisted troubleshooting module, which tests a candidate's ability to interpret AI-generated network health recommendations and act on them within a simulated Cisco environment. This module replaces one legacy configuration scenario that had been part of the exam since 2022. Cisco confirmed that all CCIE lab exams scheduled from May 1, 2026 onward follow the new format. Existing CCIE candidates who passed their qualifying exam are encouraged to review the updated lab exam topics document available on Cisco's certification website. New DevNet Specialist – AI Infrastructure Certification Cisco's DevNet track is expanding with the introduction of a new specialist-level certification: Cisco Certified DevNet Specialist – AI Infrastructure. This certification targets network developers and automation engineers working with Cisco's AI networking portfolio, including tools built on Cisco's Silicon One architecture and Meraki AI analytics. The associated exam (300-920 DNAAIOPS) is scheduled to launch in beta in June 2026 for US-based candidates through Pearson VUE testing centers, with early registration available at a discounted rate. The full certification is expected to achieve general availability by Q3 2026. Market Impact & US Workforce Demand The updates arrive at a critical moment for the U.S. IT workforce. According to CompTIA's 2026 State of the Tech Workforce report, demand for certified network engineers in the United States grew 11% year-over-year in Q1 2026, with Cisco credentials among the top five most requested certifications by enterprise employers. Separately, labor market data shows demand for CCNP-certified and CCIE-certified professionals in the United States increased by approximately 14% year-over-year in Q1 2026, driven largely by enterprise digital transformation initiatives and federal government network modernization programs. Industry analysts note that these updates reflect broader market pressure on IT professionals to demonstrate competency in AI-integrated networking and cloud security. What Candidates Must Do Now Download the latest exam blueprint from the official Cisco Learning Network to confirm current topic coverage. Verify your exam version code against the current blueprint before scheduling through Pearson VUE. Supplement study materials to cover new AI-ops, zero-trust, and SD-WAN multi-cloud topics added in the April 2026 update. Use practice exams and training resources aligned with the 2026 blueprint versions — platforms such as SPOTO Cisco Certification Training offer up-to-date practice materials mapped to the latest Cisco exam objectives. Join Cisco Learning Network community forums to stay updated on peer experiences with the new exam formats. SourcesCisco Certification Exam Updates 2026: New CCNP and CCIE Changes Take Effect in the US – SPOTOCisco Certification Exam Updates 2026: New CCNP and CCIE Changes Take Effect – SPOTOHere's Every Major Cisco Cert Change Coming by 2026 – CBT NuggetsLearn with Cisco: Evolving for the Age of AI, Automation, and Cloud – Cisco BlogsCisco Certification Changes 2026: Complete Guide – CertEmpireCisco CCNP Security Exam Updates 2026 – Rich Tech GuyTop CCNA Exam Changes & Updates for 2026 – NW Kings

Table of ContentsOverview: AWS Certification Gets an AI-First MakeoverKey Exam Domain Updates Across All TiersNew Flagship: AWS Certified Generative AI Developer – ProfessionalSecurity Specialty Exam (SCS-C03) RefreshedAWS Microcredentials Go Free for All BuildersAWS AI & ML Scholars Program: 100,000 Free SeatsExam Delivery Infrastructure ChangesWhat This Means for US CandidatesOverview: AWS Certification Gets an AI-First MakeoverAmazon Web Services has executed the most significant overhaul of its global certification program in recent memory. Beginning in April 2026 and rolling through Q2–Q3 2026, AWS has restructured domain weightings, launched a new professional-tier AI credential, retired the Machine Learning Specialty exam, made microcredentials free, and opened a 100,000-seat AI training program. The changes reflect accelerating enterprise demand for cloud professionals who can work with generative AI, agentic systems, and modern security architectures — and they directly affect anyone currently preparing for an AWS exam in the United States.Key Exam Domain Updates Across All TiersAWS confirmed sweeping updates affecting multiple exam tiers — foundational through specialty — to take effect on a rolling basis throughout Q2 and Q3 2026. The revisions align credentials with real-world enterprise demands, particularly in generative AI, cloud security, and multi-cloud architecture.Domain weightings have been restructured on several flagship exams:Solutions Architect – Associate (SAA-C04 revision): Resilient architecture design now accounts for 30% of exam content, with increased emphasis on cost optimization strategies.Machine Learning – Specialty: Full content refresh incorporating foundation model fine-tuning, responsible AI guardrails, and Amazon SageMaker HyperPod workflows.Security – Specialty (SCS-C03): Added threat detection scenarios tied to AWS GuardDuty Malware Protection v2 and IAM Identity Center.The most consequential structural shift: generative AI competency requirements are now embedded across all professional-level exams, not just specialty tracks. Candidates sitting for Solutions Architect – Professional or DevOps Engineer – Professional exams after June 1, 2026 will encounter scenario-based questions involving Amazon Q, Bedrock model deployment, and AI governance frameworks. AWS stated this reflects employer demand data from over 4,000 U.S.-based enterprise clients.New Flagship: AWS Certified Generative AI Developer – ProfessionalRegistration is now open for the standard version of the AWS Certified Generative AI Developer – Professional (AIP-C01) certification. This credential validates a developer's ability to integrate foundation models into applications and business workflows, with specific coverage of foundation models, RAG architectures, vector databases, and responsible AI deployment.The standard exam has been refreshed to reflect recent changes in AWS services, including the addition of Amazon Bedrock AgentCore. An Exam Prep Plan is available on AWS Skill Builder, including practice assessments with exam-style questions and hands-on practice through AWS SimuLearn.Separately, AWS retired the AWS Certified Machine Learning – Specialty certification as of March 31, 2026. Current holders retain active status through their original expiration date and can continue their AI/ML journey through the expanded portfolio: AWS Certified AI Practitioner, Machine Learning Engineer – Associate, Data Engineer – Associate, and the new Generative AI Developer – Professional.The AWS Certified AI Practitioner credential, launched in late 2024, has seen enrollment surge by an estimated 140% year-over-year, making it one of the fastest-growing entry-level cloud certifications in North America.Security Specialty Exam (SCS-C03) RefreshedThe AWS Certified Security – Specialty exam has been updated to address the evolving security landscape. The new version (SCS-C03) expands coverage of emerging technologies with dedicated focus on generative AI and machine learning security. AWS has restructured the exam domains to create distinct sections for Detection and Incident Response capabilities. Registration for SCS-C03 is open now, with localized exam prep materials available in Japanese, Korean, Portuguese (Brazil), and Spanish.AWS Microcredentials Go Free for All BuildersIn April 2026, AWS removed the AWS Skill Builder subscription requirement from all microcredentials, making them freely accessible to every builder. Microcredentials differ from standard certifications: rather than testing broad domain knowledge, they place candidates in simulated business scenarios where they solve real challenges directly in a live AWS environment.Current available microcredential topics include:AWS Serverless DemonstratedAWS Agentic AI DemonstratedAWS Application Networking Demonstrated – validates ability to execute core application delivery and performance optimization tasksAWS Incident Response Demonstrated – validates ability to identify, contain, and remediate common AWS security incidentsAdditional microcredential topics are planned for release throughout 2026. Certifications and microcredentials are designed to be complementary: certifications validate broad knowledge; microcredentials verify hands-on implementation ability in a live environment.AWS AI & ML Scholars Program: 100,000 Free SeatsThe AWS AI & ML Scholars program, powered by AWS Skill Builder and delivered in collaboration with Udacity, is targeting 100,000 learners globally with foundational AI and agentic AI skills. The program runs in two phases:Challenge Phase (March 24 – June 24, 2026): Open to all learners 18 or older, no prior experience required. Participants complete the AWS AI Practitioner Learning Plan and build a generative AI application using Amazon PartyRock and Amazon Bedrock. All graduates receive a certificate of completion plus a three-month AWS Skill Builder subscription.Udacity Nanodegree Phase: The top 4,500 performers from the Challenge Phase advance to a fully funded Nanodegree in one of three tracks: AI Programmer, Agentic AI Business Professional, or Agent Developer. The Nanodegree phase begins August 4, 2026.Note: As of the publication of this article, all available spots for the 2026 Challenge Phase have been filled. Learners can still access AI and ML content at AWS Skill Builder directly.Exam Delivery Infrastructure ChangesStarting April 15, 2026, all AWS certification exams administered through Pearson VUE and PSI support an enhanced remote proctoring system with AI-assisted identity verification. Additional format changes include:Introduction of case study-based question sets (multiple questions tied to a single scenario) in professional-tier exams.Automatic 10–15 minute exam duration extensions for non-native English speakers in the United States — no separate accommodation request required.AWS has also centralized all certification exam guides on AWS Documentation, giving candidates access to every exam guide in a single, up-to-date, user-friendly format alongside service user guides and API references.What This Means for US CandidatesThe 2026 changes collectively shift the AWS certification ecosystem toward AI competency at every level. Candidates preparing for associate or professional exams should download updated Exam Guide PDFs from AWS Documentation immediately, as domain weightings and question formats have changed. Those on Machine Learning or specialty tracks must account for the retirement of ML Specialty and plan their path through the updated AI/ML portfolio. Free microcredentials now offer a low-barrier way to prove hands-on skills alongside traditional certifications — a combination increasingly valued by U.S. employers. For structured exam prep covering the full 2026 AWS certification lineup, visit SPOTO AWS Certification Training. SourcesAWS expands AI certification portfolio and updates security certification – AWS Training and Certification BlogNew courses and certification updates from AWS Training and Certification in April 2026 – AWS Training and Certification BlogNew courses and certification updates from AWS Training and Certification in March 2026 – AWS Training and Certification BlogMicrocredentials from AWS are now free — Here's why that matters – AWS Training and Certification BlogAWS AI & ML Scholars is open for 2026: Get started on your AI learning journey – AWS Training and Certification BlogAWS AI & ML Scholars – Official Program Page – Amazon Web ServicesExam Updates, Beta Exams, and New Certifications – Coming Soon to AWS CertificationAWS Announces Major Updates to Certification Exam Lineup in 2026: What Candidates Need to Know – SPOTOAWS revamps 2026 certification path with AI-focused exams – MSN News

Table of ContentsOverviewCompTIA SecAI+: The First AI Security CertificationSecurity+ SY0-701 Objective RefreshThe CompTIA Xpert Series RolloutImpact on US IT ProfessionalsWhat Candidates Should Do Now Overview In 2026, CompTIA — the Downers Grove, Illinois-based non-profit IT trade association — has executed one of its most consequential certification overhauls in years. Three interconnected developments define this shift: the live launch of CompTIA SecAI+, a refresh of the widely held Security+ SY0-701 exam objectives, and the ongoing rollout of the CompTIA Xpert Series of expert-level credentials. Together, these changes are reshaping the pathways available to IT professionals across the United States. CompTIA SecAI+: The First AI Security Certification On February 17, 2026, CompTIA officially launched CompTIA SecAI+ (exam code: CY0-001), its first professional certification dedicated entirely to the intersection of artificial intelligence and cybersecurity. The certification was created in direct response to the rapid emergence of advanced AI-driven security threats, addressing the urgent need for skilled professionals who can both defend against and leverage AI technologies in modern cybersecurity environments. SecAI+ is the first certification in CompTIA's new Expansion Series, designed to complement — not replace — existing credentials. It builds on foundational CompTIA credentials such as Security+, CySA+, and PenTest+, and gives security professionals a way to demonstrate advanced AI security capabilities alongside their core job-role skills. The exam covers four domains: Basic AI Concepts (17%), Securing AI Systems (40%), AI-Assisted Security (24%), and AI Governance, Risk, and Compliance (19%). Candidates face a maximum of 60 multiple-choice and performance-based questions in 60 minutes, with a passing score of 600 on a 100–900 scale. CompTIA recommends candidates hold 3–4 years of IT experience with at least 2 years of hands-on cybersecurity experience before attempting the exam. Key skills validated by SecAI+ include: identifying AI-driven threats such as automated phishing and adversarial machine learning; implementing security controls to protect AI systems, data, and models; leveraging AI to automate workflows and accelerate incident response; and navigating global governance, risk, and compliance (GRC) frameworks for ethical AI adoption. The certification was developed by over 400 industry subject matter experts. As with all CompTIA credentials, SecAI+ is vendor-neutral, applying across cloud providers, AI platforms, development frameworks, and deployment environments. Security+ SY0-701 Objective Refresh In mid-April 2026, CompTIA announced a significant refresh of the Security+ SY0-701 exam objectives. The update reflects accelerating changes in the US cybersecurity landscape, including the proliferation of AI-driven threats, expanded cloud attack surfaces, and new federal compliance mandates stemming from the 2025 National Cybersecurity Strategy implementation directives. The announcement directly affects hundreds of thousands of IT professionals across the United States who rely on Security+ as a foundational DoD 8570/8140-approved credential for federal and private-sector employment. The most notable additions to the revised SY0-701 objective framework include: Explicit coverage of generative AI security risks CMMC 2.0 compliance requirements for defense contractors Expanded content on supply chain security CompTIA has established the following transition timeline: DateAction April 21 – June 30, 2026Current SY0-701 exam continues under existing objectives; no changes to question pools July 1, 2026Updated objectives officially integrated into live exam delivery via Pearson VUE and Certiport December 31, 2026Legacy objective-aligned practice materials retired from CompTIA's CertMaster platform CompTIA has confirmed that all certifications earned under either objective version carry identical validity and renewal requirements. Candidates who have already purchased exam vouchers are advised to confirm their test date relative to this transition window. Looking further ahead, a tentative preview launch date of around October 20, 2026 has been noted for Security+ SY0-801, the next full version of the exam. The CompTIA Xpert Series Rollout Running in parallel, CompTIA is executing the phased rollout of its Xpert Series — a suite of expert-level certifications targeting seasoned IT professionals with multiple years of hands-on experience. The Xpert Series is designed to fill a long-standing gap in CompTIA's catalog, which has historically focused on foundational and intermediate credentials. The first three Xpert Series certifications are: CompTIA DataAI (formerly DataX, rebranded January 21, 2026): An expert-level data science credential validating the ability to design, deploy, and operate AI-driven data solutions. It targets senior data scientists, quantitative analysts, data engineers, BI managers, and AI/ML specialists. DataAI sits atop CompTIA's data certification pathway, above Data+ and DataSys+. CompTIA CloudNetX: An advanced cloud network engineering certification validating skills in advanced network and system architecture for designing and managing complex, hybrid IT infrastructures, including multi-cloud orchestration and SD-WAN. CompTIA SecurityX (formerly CASP+): The next iteration of the CompTIA Advanced Security Practitioner credential, aimed at security architects, senior security engineers, and professionals responsible for an organization's overall cybersecurity readiness. Cloud security, automation, infrastructure as code, and zero trust architecture are among its key testable competencies. Existing CASP+ holders transition to SecurityX automatically, with no retake required. The Xpert Series rollout is scheduled to continue throughout 2026, with CompTIA promising that these credentials bring vendor-agnostic, skills-oriented certification to the expert level for the first time. Impact on US IT Professionals The combined effect of these changes is significant for the US IT workforce. The Security+ refresh directly affects the large population of professionals who hold or are pursuing the DoD-approved credential for federal employment. The SecAI+ launch creates a new career track for mid-career cybersecurity professionals looking to specialize in AI security — a field where demand is already outpacing supply. Market analysis indicates that professionals with AI security expertise command salary premiums of 15–30% over peers with traditional security skills alone. The Xpert Series, meanwhile, gives experienced IT professionals a vendor-neutral pathway to validate expert-level skills in data/AI, cloud networking, and advanced security — roles previously underserved by CompTIA's certification portfolio. CompTIA's own research has indicated that 56% of cybersecurity professionals already use AI tools daily, yet most organizations have no formal training on how to do so securely — a gap SecAI+ is directly designed to address. What Candidates Should Do Now Security+ candidates: Determine whether to test before or after the July 1, 2026 objective transition. Either version carries identical credential validity. Begin incorporating the new AI security and CMMC 2.0 content areas if targeting the post-July objective set. SecAI+ candidates: The exam is live now via Pearson VUE (test center or OnVUE online). Recommended preparation path: Security+ → CySA+ → SecAI+. Focus study on the Securing AI Systems domain (40% of the exam). Xpert Series candidates: DataAI is available now. CloudNetX and SecurityX are rolling out through 2026. CASP+ holders receive automatic SecurityX transition — no retake required. All candidates: Use updated official CompTIA exam objectives as the primary study framework. Structured, exam-focused training resources — including SPOTO's updated preparation materials at ccedump.spoto.net — are critical given the tightened domain weighting across all updated exams. SourcesPR Newswire – Where AI and Cybersecurity Converge: Introducing CompTIA SecAI+ (February 17, 2026)CompTIA Official – SecAI+ Certification V1 Exam DetailsNetwork World – CompTIA Launches SecAI+ Certification (February 17, 2026)SPOTO – CompTIA Launches Updated Security+ SY0-701 Exam Objectives for 2026 Workforce ReadinessCompTIA Official – CompTIA Launches Xpert Series with DataAI Professional CertificationCompTIA Blog – CompTIA DataAI: The Reimagined DataX Certification (January 2026)CBT Nuggets – Best CompTIA Certifications to Earn in 2026Training Camp – New Certifications Coming in 2026: What's Actually Worth Your TimeITU Online – What's New in the 2026 CompTIA A+ Certification: 1201/1202 Exam UpdatesCompTIA Instructors Network – Status of the Next Version of Security+ (SY0-801)