Two GPU-backed Antares Learning Labs are live. Use a small open-weight model to narrow a repo to the files that may hold a CWE, then see how DevNet shares one GPU across learners.
Teams are putting Claude Enterprise to work fast, and not just for chat. Claude, Claude Code, and Claude Cowork act on behalf of users. They read documents, call tools, and run tasks. That makes the prompt an attack surface. A jailbreak can try to..
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.
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......
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.
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.
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.
