AI and LLM Security
AI deployments and LLM-powered applications are rapidly evolving, exposing entirely new and complex attack vectors.
Our Approach
1
Model & Architecture Review
Analyzing the integration of your LLM, vector databases, and agentic workflows to identify systemic risks.
2
Adversarial Prompting & Injection
Intensive testing against prompt injection, data leakage, model poisoning, and output manipulation.
3
Guardrail Verification
Validating your systemic controls, filters, and safety frameworks against recognized industry standards.