Who Stops Skynet? When AI Agents Start Finding Their Own Path
AI agents do not need malicious intent to create security risk. A goal, tools, credentials and network access may be enough to change the threat model.
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#Threat Modeling
Threat modeling notes that explain attacker assumptions, trust boundaries, failure modes and practical security review patterns.
4 articles tagged Threat Modeling on vesely.sk.
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.
Read article →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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