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WitnessAI has announced extended agentic security capabilities that govern how AI agents interact with enterprise systems, tools, and Model Context Protocol (MCP) servers. With the launch of Agentic Control, enterprises have greater visibility and control over their AI agents with a single control plane to discover, monitor, govern, and restrict agent behaviors at runtime. Enterprises are deploying AI agents across chat applications, integrated development environments (IDE), and custom workflows, but security teams lack the visibility … More →
The post WitnessAI Agentic Control secures AI agents, tools, and MCP server access appeared first on Help Net Security.
Tigera has announced the general availability of Tigera Lynx, a unified control plane for Kubernetes-native AI agents. Lynx gives enterprises a single place to find every agent in their Kubernetes estate, tighten security posture, assign sandboxes, provide each agent with a cryptographic identity, enforce policy on every action it takes, audit agent activity, and detect anomalous behavior, all without changing a line of agent code. AI agents do not behave like the workloads enterprise security … More →
The post Tigera introduces unified control plane for Kubernetes-based AI agent security appeared first on Help Net Security.