AI security

Open Secure AI Alliance: NVIDIA's Bet on Open Cybersecurity

Open Secure AI Alliance: NVIDIA’s Bet on Open Cybersecurity

AI, Application Development, Cyber Security, Machine Learning, Open Source /

NVIDIA and more than 40 industry partners have formed the Open Secure AI Alliance, arguing that open AI models and harnesses are essential defensive assets for cybersecurity. The alliance is contributing open agent frameworks, supply chain integrity tools, and zero-trust identity infrastructure to a shared defense stack. ECI Research data shows enterprises already operate in blended open/closed security tooling models, making the alliance’s approach practically relevant today.

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Codenotary Free AI-Powered Linux Security for AlmaLinux

Codenotary Free AI-Powered Linux Security for AlmaLinux

Application Development, Open Source, Security /

Codenotary has launched a permanently free tier of its AI-powered security platform for AlmaLinux, covering up to 25 machines with full feature access. The offer includes SBOM management, CIS compliance, patch management, and AI agent monitoring. It’s a freemium land-and-expand play targeting lean ops teams with growing AI exposure.

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Cisco Live 2026: Agentic AI Security and the WideField Bet

Cisco Live 2026: Agentic AI Security and the WideField Bet

AI, Application Development, Automation, Security /

Cisco used Cisco Live US 2026 to announce the acquisition of WideField Security, expanding Splunk’s Agentic SOC with non-human identity intelligence. Combined with the Athena open-source coalition and campus network capacity research, Cisco is building an integrated trust layer for the agentic AI era. ECI Research analyzes what it means for enterprise security strategy and infrastructure planning.

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Minimus Opens Free Secure Container Image Catalog | ECI Research

Minimus Opens Free Secure Container Image Catalog | ECI Research

Application Development, Application Security, Cloud-Native, DevSecOps /

Minimus is opening its entire catalog of near-zero CVE container images for free, with no registration required. ECI Research examines why the move targets the growing asymmetry between AI-accelerated vulnerability discovery and slow remediation, and what it means for enterprise DevSecOps strategy. Signed SBOMs and an agent-ready CLI make this more than a freemium play.

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Ceros Launches Agentic AI Security Trust Layer for Enterprises

Ceros Launches Agentic AI Security Trust Layer for Enterprises

Agentic AI, Application Development, Enterprise IT Strategy, Security /

Beyond Identity has launched Ceros, an agentic AI trust layer that provides identity verification, runtime governance, and provenance tracking for autonomous AI agents. The platform addresses a critical enterprise security gap as AI agent adoption accelerates without corresponding oversight tooling. ITDMs and security teams should evaluate their agentic AI attack surface now, before incidents force the conversation.

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AI Agent Security: Why Behavior Beats Authentication | ECI Research

AI Agent Security: Why Behavior Beats Authentication | ECI Research

Agentic AI, AI, Application Development, Security /

Cequence Security is claiming the reference architecture position in AI agent security, pointing to independent convergence from Anthropic, Dr. Chase Cunningham, and the Center for Internet Security around runtime behavioral control over agents. ECI Research breaks down why authentication-first approaches are structurally inadequate for agentic AI, and what ITDMs and developers should do about it now. The MCP governance layer is emerging as the critical battleground for AI agent security investment through 2026.

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AI Agent Runtime Risk: Why 3M Daily Interactions Demand New Observability

AI Agent Runtime Risk: Why 3M Daily Interactions Demand New Observability

AI, Application Development, Cloud-Native, DevSecOps, Machine Learning /

Codenotary’s AgentMon platform is monitoring more than 3 million AI-agent interactions per day, with 7% triggering security or compliance anomalies. ECI Research analyzes why this milestone signals a new category of enterprise risk that traditional observability platforms weren’t built to address. ITDMs and platform engineers need a governance strategy now, before a material incident forces one.

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NetFoundry Brings Zero Trust to AI Agents and LLM Gateways

NetFoundry Brings Zero Trust to AI Agents and LLM Gateways

AI, Application Development, Infrastructure, Security /

NetFoundry has launched enterprise MCP and LLM gateways that assign cryptographic identities to AI agents and endpoints, closing inbound ports and removing API key distribution from agentic deployments. The announcement addresses a critical security gap as multi-agent AI moves into production at enterprise scale. ECI Research analysis finds this positions NetFoundry at the intersection of zero-trust networking and AI governance, a category without a clear incumbent.

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Palo Alto Networks & NVIDIA Reinvent AI Factory Security

Palo Alto Networks & NVIDIA Reinvent AI Factory Security

AI, Application Development, Enterprise IT Strategy, Security /

Palo Alto Networks has integrated Cortex XSIAM with NVIDIA’s DOCA Argus framework, bringing silicon-level, agentless security to NVIDIA AI Factory infrastructure. The partnership also places Prisma AIRS inside NVIDIA’s Enterprise AI Factory Validated Design, establishing a reference architecture for securing agentic AI at scale. ECI Research analysts examine what this means for enterprise security buyers and the teams building on AI infrastructure today.

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Starburst Names Paras Malhotra CISO: Security Meets AI Data Strategy

Starburst Names Paras Malhotra CISO: Security Meets AI Data Strategy

AI, Application Development, Data Management, Enterprise Applications /

Starburst has appointed Paras Malhotra as Chief Information Security Officer, bringing deep security leadership from AWS and Datadog to its federated data and AI platform. The hire signals that Starburst is treating security and governance as competitive differentiators in the enterprise AI market. ECI Research analyzes what this means for ITDMs and developers evaluating federated data infrastructure.

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