agentic AI

NVIDIA Vera CPU Arrives at AWS: What It Means for Agentic AI

NVIDIA Vera CPU Arrives at AWS: What It Means for Agentic AI

AI, Application Development, Cloud, Infrastructure /

NVIDIA has begun delivering its Vera CPU to AWS, marking a new phase in the companies’ expanded partnership and signaling a shift in AI infrastructure priorities toward agentic workloads. The Vera CPU delivers up to 1.8x faster per-core performance on agentic AI tasks, addressing a bottleneck that GPU-dense architectures were never designed to solve. For government buyers, the compliance pathway to access this compute will matter as much as the hardware itself.

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Cisco FY26 Record Revenue: AI Infrastructure Strategy Pays Off

Cisco FY26 Record Revenue: AI Infrastructure Strategy Pays Off

AI, Application Development, Cyber Security, Enterprise IT Strategy, Infrastructure /

Cisco closed fiscal 2026 with record revenue of $63.3 billion, driven by AI infrastructure investment and platform consolidation. ECI Research analyzes what the Secure AI Factory expansion, Sovereign Critical Infrastructure launch, and Cisco Data Fabric general availability mean for enterprise and government buyers navigating AI adoption and compliance complexity.

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Agentic AI Governance Gap: 94% Confident, 33% Compliant

Agentic AI Governance Gap: 94% Confident, 33% Compliant

AI, Application Development, Cyber Security, Enterprise Software, Machine Learning /

Cequence Security and EMA surveyed 202 enterprise IT and security leaders and found that 94% are confident their AI agents aren’t over-provisioned, yet only 33% enforce least-privilege access. Sixty-five percent have already experienced an out-of-scope agent action, with 29% reporting measurable business impact. The research defines a runtime authorization gap that point-in-time compliance frameworks aren’t built to close.

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Airrived Sovereign AI Platform: On-Prem Agentic AI for Regulated Enterprises

Airrived Sovereign AI Platform: On-Prem Agentic AI for Regulated Enterprises

AI, Application Development, Enterprise Software, Infrastructure /

Airrived has launched a Sovereign AI Platform that runs agentic AI entirely within an organization’s own infrastructure, including fully air-gapped environments. The platform targets governments and regulated enterprises facing compliance barriers to cloud-hosted AI. ECI Research data shows FedRAMP friction is the top AI adoption blocker in the public sector, validating the market Airrived is entering.

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Nutanix Bets on Private AI Infrastructure for Agentic Workloads

Nutanix Bets on Private AI Infrastructure for Agentic Workloads

AI, Application Development, Cloud, Infrastructure, Machine Learning /

Nutanix is reframing its infrastructure story around private AI deployment and autonomous agents. The pitch is well-timed for regulated buyers, but governance readiness remains the critical gap. ECI Research data shows where public sector organizations actually stand on agentic AI adoption today.

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Dalet IBC2026: Agentic AI With Built-In Media Governance

Dalet IBC2026: Agentic AI With Built-In Media Governance

AI, Application Development, Automation, Enterprise Software /

Dalet is using IBC2026 to announce agentic AI expansions across Dalet Flex, Dalet Pyramid, and its Dalia platform, with governance and identity controls at the center of the story. The positioning reflects a broader enterprise reality: AI adoption in regulated environments stalls without credible governance architecture. ECI Research data shows why this approach resonates with technology buyers prioritizing integration velocity and compliance confidence.

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Broadcom VMware Private AI Cloud: What ITDMs and Devs Need to Know

Broadcom VMware Private AI Cloud: What ITDMs and Devs Need to Know

AI, Application Development, Cloud, Cyber Security, Infrastructure /

Broadcom announced VMware Private AI Cloud at Explore Las Vegas, integrating on-premises AI infrastructure, hypervisor-embedded security, and agentic runtime governance into a single platform. The VCF AI Factory targets the pilot-to-production gap with a turnkey metal-to-model architecture, while the new Agent Minder product addresses enterprise-wide governance for autonomous AI agents. For organizations navigating FedRAMP compliance and open source security risk, the announcement carries real architectural weight.

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Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

AI, Application Development, Cloud, Infrastructure, Machine Learning /

Everpure reported record Q2 revenue of $1.2 billion, up 38% year-over-year, backed by back-to-back hyperscaler design wins and a new Data Primacy architecture aimed at enabling agentic AI workloads. ECI Research analyzes what the results mean for enterprise IT buyers and government technology leaders navigating AI adoption. The compliance friction problem, not just the infrastructure gap, may determine how quickly the Data Primacy thesis converts to regulated-sector revenue.

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Google Cloud AI Agent Cost Controls: What It Means for Enterprise FinOps

Google Cloud AI Agent Cost Controls: What It Means for Enterprise FinOps

AI, Application Development, Cloud, FinOps, Machine Learning /

Google Cloud has announced expanded billing options and native cost governance tools for enterprise AI agent workloads. The move addresses a growing CFO problem: agentic AI generates bursty, unpredictable spend that traditional budget models weren’t built for. ECI Research data shows cost reduction is the top zero-friction priority for cloud-native teams, making this announcement land at exactly the right moment.

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Airbyte Adds Semantic Search and Governance for AI Agents

Airbyte Adds Semantic Search and Governance for AI Agents

AI, Application Development, Enterprise Software, Infrastructure /

Airbyte has added semantic search and fine-grained entity policies to its Agents platform, enabling AI agents to retrieve enterprise knowledge by meaning while respecting existing security controls. The announcement targets two of the most common blockers for production agent deployments: incomplete context access and inadequate governance. ECI Research data shows data leakage and pipeline complexity are top concerns for enterprises scaling AI on modern infrastructure.

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