Glossary
AI security terms, defined
One page per term: the definition first, then what it means for securing AI systems and complying with AI rules, and where it appears on this site. Every entry is sourced to the standard, law or organization the term belongs to.
12 terms
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- Agentic AIAgentic AI means systems that use an AI model to plan and act toward a goal with little human input. How Five Eyes agencies, the NCSC and OWASP define it.Also: agentic systems, agentic AI systems, autonomous AI
- AI agentAn AI agent is software that repeatedly prompts an AI model and carries out the actions it picks through tools. NIST and OWASP definitions and the controls it needs.Also: LLM agent, autonomous agent, agent hijacking
- AI guardrailsAI guardrails are controls that check prompts, retrieved content, outputs and agent actions before they take effect. What they cover, where they fail, what they are not.Also: LLM guardrails, generative AI guardrails, AML.M0020
- AI red teamingAI red teaming is structured adversarial testing that finds flaws in AI models and systems before attackers do. Definitions from NIST, CISA, the NCSC and the EU AI Act.Also: AI red-teaming, adversarial testing, LLM red teaming
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- MITRE ATLASMITRE ATLAS is a public knowledge base of adversary tactics, techniques and case studies against AI systems. How it is built and how security teams use it.Also: ATLAS, ATLAS matrix
- Model Context Protocol (MCP)MCP is an open protocol that connects AI applications to outside tools and data through servers. What the specification defines and where its security gaps lie.Also: MCP, MCP server, MCP client
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