3 min read

A practical DevNet lab for connecting a public OpenAI-compatible target to Cisco AI Defense Explorer, running a Quick Scan, and reviewing AI red team findings.

5 min read

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 Agent Development Kit (ADK) so useful, and it is also what changes......

3 min read

OpenClaw enables powerful AI agent workflows—but introduces new security risks. Learn why securing tools, MCP servers, and agent-generated code is critical, and how DefenseClaw helps protect your environment.

3 min read

Start a Learning Lab, get instant LLM access. No provider signups, no LLM configuration—just open the terminal and the model is ready. AI Defense, MCP Security, A2A Protocol, and Skill Security labs are live now, with more AI-powered labs coming.

3 min read

LangChain makes it easy to move from a working prototype to a useful agent in very little time. That is exactly why it has become such a common starting point for enterprise agent development.   Agents don’t just generate text. They call tools, retrieve data, and take actions. That means an agent can touch sensitive systems and real customer data within a single workflow.