AI
PENTESTING
Securing the future of artificial intelligence. We identify vulnerabilities in Large Language Models (LLMs), machine learning pipelines, and AI-driven integrations by simulating cutting-edge adversarial attacks.
Technical Methodology
Our rigorous process addresses the unique security challenges of autonomous systems and neural architectures.
Model Analysis
LLM vulnerability research including prompt injection, jailbreaking, and insecure plugin execution mapping.
Privacy Audit
Verifying that training datasets and proprietary models do not leak sensitive PII or business secrets.
Adversarial ML
Assessing model robustness against sophisticated evasion, poisoning, and extraction attacks.
Pipeline Security
Stress Testing
Evaluating model performance under resource exhaustion attacks (DDoS LLM) and edge-case inputs.
WHAT YOU RECEIVE
AI Risk Assessment
High-level overview of model vulnerabilities and pipeline risks for leadership and compliance teams.
Prompt Security Audit
Technical breakdown of injection points, jailbreak vectors, and specific model failure modes with POCs.
Resilience Roadmap
Step-by-step instructions for hardening ML pipelines, sanitizing prompts, and implementing model safety guards.