Barry Yuan

Agents are powerful because they do more than answer questions. They call tools, retrieve context, and act across multiple steps. That is what makes frameworks like Google’s Agent Development Kit (ADK) so useful, and it is also what changes the security problem. Cisco AI Defense provides runtime protection for AI agents. With this integration, AI Defense now plugs into Google’s ADK and carries the same runtime controls from local development to Agent Runtime on Gemini Enterprise Agent Platform.

AI red teaming is easier to understand when you run it yourself AI security can sound abstract until you point a scanner at a real endpoint and watch what happens. A model may answer normal user prompts perfectly well, but still behave differently when a conversation becomes adversarial. A support assistant may follow its public instructions, but still have hidden rules that should never be exposed.

So you installed OpenClaw OpenClaw becomes powerful the moment it can connect a model to tools, skills, MCP servers, and a live workspace. That is also the moment security stops being optional. If you are evaluating OpenClaw, or planning to run it in front of real tools and data, the first question should not just be what the agent can do. The first question should be what happens if it trusts the wrong component.