AI Hub
AI security content covers defensive strategies for securing AI systems. For AI-enabled threat patterns, see AI Threats.
Security focus areas
Model Security
Evaluating AI model robustness against adversarial inputs, jailbreak attempts and unintended behavior in production environments.
Prompt Injection Defense
Detecting and mitigating prompt injection attacks across direct, indirect and cross-modal vectors in AI-powered applications.
Data Leakage Prevention
Preventing sensitive data extraction from AI systems through training data memorization, model inversion and side-channel attacks.
AI Guardrails & Policy
Implementing safety guardrails, content filtering and output monitoring to enforce organizational AI usage policies.
