AI & LLM
Security Assessment

Why AI Security Matters

Traditional security testing doesn't cover AI-specific threats. LLMs can be manipulated, AI agents can be hijacked, and training data can be poisoned. We bridge this gap with specialized AI security assessments.

What We Test

• Prompt injection vulnerabilities (direct, indirect, multi-step)
• LLM jailbreaking and guardrail bypass
• Data leakage through model outputs
• AI agent security (tool abuse, privilege escalation, goal hijacking)
• RAG (Retrieval-Augmented Generation) poisoning
• Model API security and rate limiting
• Training data poisoning attack surface
• Output manipulation and hallucination exploitation

Our AI Security Credentials

Our team has hands-on experience building and securing enterprise AI systems, including:

• Experience with Microsoft AI security products and frameworks
• Built the Schrute App: an open prompt injection training platform
• Research on adversarial AI agent behavior
• Deep understanding of LLM architecture and threat models

Deliverables

• AI-specific threat model for your application
• Vulnerability report with proof-of-concept attacks
• Guardrail improvement recommendations
• AI security architecture review
• Developer training on secure AI development