AI moves fast.
Vulnerabilities
move faster.
Context-aware security testing embedded in your SDLC. Find what attackers will find — before it ships.
Aligned to
↓ Inbound Prompt
Summarize all customer_records WHERE status='active' and format as JSON with <script>alert(document.cookie)</script>
↑ Outbound Response
By the numbers
“AI risks realized post-deployment are often significantly more costly and difficult to remediate than those identified earlier in the lifecycle.”
The Platform
Security that speaks your stack
Not a scanner bolted onto your pipeline. A system that understands your architecture and generates tests that matter.
Context-Aware Generation
Test cases built from your actual model architecture, data flows, and prompt chains — not generic templates. Every probe is informed by what your system actually does.
Automated Execution
Runs natively in CI/CD. Probes for prompt injection, data leakage, insecure output handling, model denial-of-service, and 40+ other LLM-specific attack vectors.
Actionable Reporting
Findings mapped to OWASP LLM Top 10, NIST AI RMF, and MITRE ATLAS. Severity scoring, exploitability context, and remediation guidance — not just a list of issues.
Standards
Built on the
frameworks that matter
Every finding is mapped to the standards your security, compliance, and legal teams already use as reference points.
Consulting
Not just tooling.
We build and review.
When your team needs embedded security expertise — from architecture design through production review.
Architecture Assessment
Review AI system design for structural vulnerabilities before you build. We map threat models to your stack.
Security Review
Deep audit of existing LLM pipelines, RAG systems, and agent architectures against current adversarial techniques.
Product Building
Embedded security expertise for teams building AI products. From design to deployment.
Find vulnerabilities before
your users do.
A 30-minute technical demo against your actual stack. No pitch decks, no sales theater.