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Prompt injection, insecure output handling, data poisoning, excessive agency, and 6 more LLM-specific threats.
Goal hijacking, tool misuse, cascading failures, memory poisoning, and agentic-specific attack patterns.
7-layer threat taxonomy covering foundation models, data operations, agent frameworks, infrastructure, and ecosystem threats.
Injection, broken access control, security misconfiguration, and the full traditional web application threat set.
Every finding mapped to real-world adversary techniques — so you understand not just what is at risk but how attackers exploit it.
AI-specific adversarial tactics and techniques — model evasion, data poisoning attacks, and ML supply chain threats.