9 articles
Discover how to secure Model Context Protocol (MCP) servers in enterprise agentic workflows using Zero Trust runtime enforcement, identity-aware token exchange, and policy-as-code.
Master MCP permissions. Learn why coarse API tokens fail for AI agents and how to enforce fine-grained, runtime policy-as-code across Model Context Protocol.
Understand critical MCP security risks. Learn how Model Context Protocol alters enterprise attack surfaces and how runtime gateways block unauthorized tool execution.
Move beyond authentication to runtime AI agent authorization. Prevent prompt injection, tool misuse, and data leakage using inline OPA policy enforcement.
Enforce AI agent least privilege. Learn why traditional IAM fails for non-human agents and how to secure dynamic tool execution with runtime proxy controls.
Master AI agent access control. Discover how to eliminate standing machine privileges, enforce dynamic authorization via OPA, and secure tool execution paths.
Discover why static AI agent inventories fail to stop autonomous breaches. Learn how runtime policy enforcement, ext_authz proxies, and OPA secure tool execution paths.
Learn how to discover AI agents across AWS, Azure, SaaS, and endpoints. Mitigate action, data, and financial risks with an inline runtime enforcement layer.
Explore the architectural risks of agentic AI. Learn how runtime enforcement and policy-as-code secure autonomous API and tool execution in the enterprise.