Secure AI agents, Large Language Models (LLMs), and automated RAG pipelines against prompt injection, model extraction, and data leakage.
Based on OWASP Top 10 for LLM Applications and modern adversarial AI research.
Testing direct and indirect prompt injection vectors that attempt to bypass system prompts, override safety guardrails, or execute arbitrary actions.
Auditing Retrieval-Augmented Generation (RAG) vector databases against context poisoning, data exfiltration, and unauthorized document access.
Verifying least-privilege tool execution for autonomous AI agents, preventing unauthorized API calls, database mutations, or privilege escalation.
Consult with our AI security engineers to audit your LLM models and RAG architectures.
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