Get evidence you can file.
Book an Embodied-AI Red-Team Assessment of your VLA policy and receive an audit-ready evidence pack. Transparent scope, published methodology, and a redacted sample so you know exactly what you are buying.
Deliverables
Measured findings
Attack-success rate with 95% Wilson confidence intervals and a benign false-positive control — declared, defensible metrics on your policy.
Narrated attack chains
Each finding with a reproducible proof-of-concept and per-trial trace.
SARIF + CI gate
Machine-readable findings that drop into GitHub code scanning, plus a red-team gate for your pipeline.
Compliance crosswalk
Mapped to EU AI Act Art. 15, EU Machinery Reg, ISO 10218:2025, NIST AI RMF, IEC 62443.
Free retest
One retest after you remediate, so the evidence reflects the fixed policy.
Data handling
Runs in your environment; you keep the data. Authorized-use-only, with a rules-of-engagement letter.
Transparent engagement
A typical engagement is scoped at roughly two to three weeks. Methodology is published and mapped to MITRE ATLAS, OWASP, and NIST SP 800-115. Every engagement runs under a written rules-of-engagement / authorization-to-test letter — Provael is an offensive-security tool for systems you own or are permitted to assess.
Prefer to try before you talk? Run Provael yourself— it is Apache-2.0 and CPU-first — then bring the results to the assessment.