Technical details

Analysis of prompt injection, jailbreaking, data poisoning, training data extraction, response confidentiality, resilience against malicious inputs, and security controls implemented in AI APIs.

Business approach

Protects AI investments against manipulation, data leakage, and reputational harm while supporting ethical operation and regulatory compliance.

Deliverables

✅ AI/LLM-specific vulnerability report
✅ Attack vectors and examples of problematic prompts
✅ Recommendations to strengthen guardrails
✅ Continuous testing framework