AWS Agentic AI Security Matrix
AWS framework for scoping security requirements of autonomous AI systems.
What it does
An AWS-published framework for scoping security requirements of autonomous AI systems. Provides a matrix approach to mapping agent capabilities (tool use, memory, autonomy level) to appropriate security controls and governance requirements.
Security relevance
Authoritative guidance from a major cloud provider that provides a structured scoping methodology. Helps security teams answer 'how much security does this agent need?' based on its capabilities and access rather than applying one-size-fits-all controls.
When to use it
Use at the design phase of agentic AI projects to determine appropriate security controls. The concepts are transferable beyond AWS — the scoping methodology applies regardless of cloud provider. Accessible to non-specialists.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 2 in LLM, 10 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: AWS Agentic AI Security Matrix slug: aws-agentic-ai-security-matrix type: Mixed category: AI Governance & Standards url: https://aws.amazon.com/blogs/security/the-agentic-ai-security-scoping-matrix-a-framework-for-securing-autonomous-ai-systems reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM07, LLM08] asi: [ASI01, ASI02, ASI03, ASI04, ASI05, ASI06, ASI07, ASI08, ASI09, ASI10] complexity: Plug & Play pricing: — audience: All lifecycle: [scope] tags: [Agentic, AWS, Framework, Reference]