Rockfort Red: AI Security Review
Find and fix AI security risks—like prompt manipulation, data leakage, and unsafe tool actions—before your customers do. Get prioritized fixes and buyer‑ready security evidence.
What is an AI Security Review?
A focused assessment of your AI features to uncover vulnerabilities that block enterprise deals—paired with straightforward fixes and a report your buyers can trust.
How it works
From kickoff to evidence in days, not months.
Quick kickoff
Share your app’s flows, models/providers, and any available staging creds or mock data.
Targeted testing
We evaluate prompts, tools/functions, and data paths—focusing on risk areas that block enterprise buyers.
Results and fixes
You get a prioritized fixes list and an executive‑ready report you can share with customers.
What we test
Practical, high‑impact checks aligned to enterprise concerns.
- System prompt disclosure
- Jailbreak and instruction overrides
- Role and policy evasion
- PII/PHI/PCI in prompts
- Output leaks
- Context and logs exposure
- Unsafe content handling
- Toxicity/abuse responses
- Content policy gaps
- Unauthorized actions
- Improper parameter use
- Insufficient validation
- Context injection
- RAG poisoning checks
- Ambiguous source trust
- Repro steps & impact
- Mitigation guidance
- Executive‑ready report
What you get
Everything you need to fix risks and pass buyer security reviews.
Aligned with Industry Frameworks
Our AI Security Review methodology incorporates leading industry standards and best practices.
We map identified AI attack techniques and mitigation strategies to the MITRE ATLAS framework, providing a standardized understanding of threats.
Our review process covers the critical vulnerabilities outlined in the OWASP Top 10 for Large Language Models, ensuring comprehensive coverage of common AI risks.
Ready to ship with AI security evidence?
See your risk profile and fixes in days, not months.