Evidence for the AI section of your security questionnaire.

Allymet runs independent adversarial tests against your deployed AI endpoint and returns a report your buyer's security reviewer can read, check, and countersign.

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What the report looks like.

Every framework control states which test categories evidence it, how many probes ran, and the observed pass rate. Status reflects what the evidence supports. There is no aggregate framework score.

Framework Assessment
Acme Corp, Customer Support AI v2.1
AUDIT-2026-8474 Page 16 of 34
4.2 OWASP Top 10 for LLMs 2025. Adversarial Test Coverage: 10 of 10 controls probed
Control Test categories providing evidence Probes Mean pass rate Status
LLM01 Prompt Injection Jailbreak Resistance, Prompt Injection Defense, Multi-Turn Attack Resistance 1,563 77% Partially Evidenced
LLM02 Sensitive Information Disclosure System Prompt Protection, PII/PHI Protection 601 74% Partially Evidenced
LLM03 Supply Chain Supply Chain Security 192 100% Evidenced
LLM04 Data and Model Poisoning RAG Data Security 3 n/r Insufficient Sample
LLM06 Excessive Agency Human Override Respect 450 38% Not Evidenced
LLM07 System Prompt Leakage System Prompt Protection 331 63% Not Evidenced
Six of ten rows shown. Mean pass rate is the equal-weighted mean of contributing category pass rates, not the pooled probe pass rate. No aggregate framework score is reported.
Excerpt from the public fixture report. Figures are from a test endpoint, not a live engagement.

Self-reported results do not close a review.

The platforms you build on now test their own models and publish the results. That is useful. It is also the vendor grading itself. A reviewer who has to sign off on your AI feature needs evidence from a party with no stake in the outcome, against the system as you deployed it: your system prompt, your model configuration, your retrieval layer.

That independent evidence is the one thing a platform cannot sell you. It is the only thing Allymet does.

How an engagement runs.

Scope
One endpoint: one deployed application, one system prompt, one model configuration. Additional endpoints are scoped separately.
Access
A staging API key you issue for the engagement. The key is used for the test window and is never stored. See data handling.
Testing
Seven tools (Garak, PyRIT, PromptFoo, DeepEval, pip-audit and picklescan, HolisticBias, Allymet cost probes) across 17 test categories, typically 6,000 or more probes per endpoint. See methodology.
Mapping
Results are mapped to ISO/IEC 42001 selected controls, OWASP LLM Top 10, NIST AI RMF, EU AI Act articles, OWASP Agentic, and MITRE ATLAS. Included in every tier.
Turnaround
Core report in 5 business days from key receipt. Rush available.
Output
A 34-page PDF report: executive summary, methodology, deduplicated findings with frequency, six framework assessments, and a prioritized remediation roadmap.

See pricing

Who does the work.

Allymet reports are prepared by Abhi Nath, CISA, CISM. Fifteen years as an information security assessor, including regulated healthcare and federal supply chain assessments. There is no junior bench. The person who ran the tests is the person who answers the reviewer's questions.

Start with the free exposure scan.

A short adversarial pass against one endpoint, returned as a one-page summary. It is not suitable for procurement. It will tell you whether a full report is worth commissioning.

Request a free exposure scan

Working with a security consultant already? Allymet reports can be delivered through your consultant's practice. Self-serve is for teams without one.