runtime security

Acalvio Deception Guardrails: Securing Agentic AI at Runtime

Acalvio Deception Guardrails are Securing Agentic AI at Runtime

Agentic AI, AI, AI/ML, Application Development, DevSecOps, Security /

Acalvio Technologies has launched Deception Guardrails, a capability that embeds deceptive honeytokens, decoy MCP servers, and fake credentials into AI agent workflows to detect compromise before enterprise systems are impacted. As agentic AI deployments scale, traditional input/output guardrails leave a critical detection gap that deception technology is well positioned to fill. This note examines the product logic, the security risk context, and what it means for ITDMs and developers building production AI agent infrastructure.

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Isovalent Enterprise Platform 26.05: One Model for K8s, VMs, and LB

Isovalent Enterprise Platform 26.05: One Model for K8s, VMs, and LB

Application Development, Cloud, Compliance, Platform Engineering, Security /

Isovalent’s 26.05 release promotes VM networking to GA, introduces shared load balancing for tenant clusters, and advances Hubble Timescape as a policy authoring environment. The release targets platform teams running mixed infrastructure across clouds and data centers. ECI Research breaks down what matters for ITDMs and platform engineers.

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Codenotary AgentMon 3: Adaptive AI Agent Runtime Security

Codenotary AgentMon 3: Adaptive AI Agent Runtime Security

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

Codenotary has launched AgentMon 3, an enterprise AI runtime security platform that replaces static allow-lists with adaptive behavioral policies. The platform monitors more than 5 million AI agent interactions daily and is now available on AWS Marketplace. ECI Research analyst commentary explains why behavioral runtime monitoring is becoming a baseline enterprise requirement.

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Wallarm AI Control Platform: Runtime AI Governance for Enterprise

Wallarm AI Control Platform: Runtime AI Governance for Enterprise

AI, Application Development, Compliance, Enterprise Software, Machine Learning /

Wallarm has launched the AI Control Platform, bringing runtime discovery, behavioral visibility, and inline policy enforcement to enterprise AI workloads. Built in partnership with AWS and available on AWS Marketplace, the platform targets the widening gap between AI deployment speed and AI governance maturity. With EU AI Act enforcement arriving in August 2026, the compliance case for continuous AI governance infrastructure is becoming unavoidable.

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Cisco Cloud Control: AgenticOps Comes to Enterprise IT

Cisco Cloud Control: AgenticOps Comes to Enterprise IT

AI, Application Development, Cloud, Infrastructure /

Cisco launched Cloud Control at Cisco Live US 2026, a unified platform for human and AI agent collaboration across networking, security, compute, and observability. The announcement formalizes Cisco’s AgenticOps model and positions the company as a control plane for AI-era enterprise operations. This note covers the competitive implications, what ITDMs should evaluate, and what developers need to scrutinize before deployment.

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Open Source Summit 2026 wrap-up

Open Source Summit 2026 Wrap-Up: Governance, Sustainability, and the New Reality of Open Innovation

AI, Application Development, Application Security, DevOps, DevSecOps, FinOps, Kubernetes, Observability, Open Source, Open Source Summit 2026, Security /

A detailed Open Source Summit 2026 wrap-up covering AI governance, maintainer sustainability, runtime security, open infrastructure, and the future of open innovation.

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Docker AI Governance: Securing AI Agents at the Runtime Layer

Docker AI Governance: Securing AI Agents at the Runtime Layer

AI, Application Development, DevOps, Security /

Docker has launched Docker AI Governance, a centralized policy control plane for AI agents running across developer laptops, CI pipelines, and production clusters. The product addresses a structural security gap that existing enterprise tooling cannot see. This note analyzes the architectural credibility of Docker’s approach and what it means for enterprise AI adoption strategy.

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