Security & Safety (2026)

AI security and safety tools address two different problems: protecting AI systems (scanning MCP servers for threats, red-teaming LLM applications, controlling what agents may access) and using AI for security work (alert triage, threat investigation, vulnerability research). As agents gain access to code, accounts and infrastructure, both sides matter more.

For protecting your own agents, start by scanning the MCP servers and tools you connect, then test your application against prompt injection and data leakage. For AI-assisted security operations, check whether every agent decision is logged and reviewable. Offensive security tools should only be used on systems you are authorised to test.