AI Security
Expert
AI Red Teaming
AI red teaming involves systematically attacking AI systems to discover vulnerabilities before adversaries do. This includes testing LLMs, ML pipelines, and AI-integrated products for prompt injection, model evasion, data poisoning, and unintended behaviors. It is one of the fastest-growing disciplines in cybersecurity as AI systems proliferate across enterprise environments.
Key Capabilities
- Prompt injection, jailbreaking, and guardrail bypass
- Model inversion and extraction attacks
- Data poisoning simulation and detection
- Adversarial example generation
- AI system threat modeling and attack surface mapping
Tags
AI Security Red Team LLM Adversarial ML Model Security