What Could Go Wrong? Threat Modeling AI Before It Ships
How can security risks be identified before AI applications go live? Threat modeling through a practical agent example.
View sessionTested live: how does an AI application respond to prompt injection, jailbreaks and data leakage? Stefania Kalinska demonstrates the security check with the ECODYNAMICS AI Security Agent.
An AI agent is only as secure as its model, its tools and the harness around it. Stefania Kalinska tests an AI application live on a dedicated test system, using the ECODYNAMICS AI Security Agent. It comes with 21 test templates and 17 test sets with 164 attack patterns and covers 7 of the 10 OWASP categories for LLM applications: from prompt injection and leakage of data and system prompts to excessive agency. A second, independent attacker model writes multi-turn attacks. You will see how an attack turns into a traceable finding with evidence and which safeguards follow from it. Testing only takes place on approved test systems. The session runs in parallel to the expert talks.
Key figures of the AI Security Agent: 21 test templates, 17 test sets with 164 attack patterns, 7 of the 10 OWASP categories for LLM applications.
Tested live: prompt injection, jailbreaks, leakage of data and system prompts, and excessive agency, including multi-turn attacks.
You will take away how an attack turns into a traceable finding with evidence and which safeguards follow from it.
How can security risks be identified before AI applications go live? Threat modeling through a practical agent example.
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