AI Security Architecture Is Not Just AI Governance
AI governance defines policies and responsibilities. AI security architecture turns them into technical controls, trust boundaries, identity models, evidence and tests.
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#Threat Modeling
Threat modeling notes that explain attacker assumptions, trust boundaries, failure modes and practical security review patterns.
3 articles tagged Threat Modeling on vesely.sk.
Threat Modeling for LLM Applications: Where to Start
LLM applications need threat models that cover more than prompts: trust boundaries, RAG, agents, tools, identity, data flows, provider boundaries and audit evidence.
Read article →AI Just Changed the Threat Model
Autonomous AI agents change enterprise security assumptions. The next generation of cybersecurity will be about continuously proving that infrastructure is still trustworthy.
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