AI Security
Specialist AI engineers on the attack path
AI systems fail differently than classic apps. We probe prompts, tools, retrieval pipelines, and model outputs — before customers or adversaries do.
Engagements
Assessment depth that engineers can use
- AI security assessment — threat model, control mapping, prioritized findings
- AI red team — prompt injection, jailbreaks, exfiltration, unsafe agent/tool behavior
- Secure AI SDLC review — where models, prompts, data, and vendors enter production