AI Agent Security Audit Service: What It Covers and How to Verify One
An AI agent security audit service adversarially tests an agent — prompts, tools, memory, delegation chain, and action trail — against a named threat framework, and delivers evidence a third party can re-verify. If the deliverable is a PDF you have to take on faith, you bought a letterhead, not an audit.
ProofOfAuditReport that resolves at the public proof verifier — so the client can check the audit without trusting the auditor.
The ten threat categories a real audit must probe
BlindOracle's MASSAT pipeline (13 specialized agents: discovery, vulnerability assessment, adversarial simulation, compliance mapping, reporting) works the full OWASP Agentic Security Initiative Top 10:
| Category | What we actually probe |
|---|---|
| ASI01 Goal hijack | Prompt-injection payloads in fetched content, tool outputs, and inbound messages — including obfuscated variants (zero-width, homoglyph, base64, ROT13) |
| ASI02 Tool misuse | Read-secret → write-external chains; pipe-to-shell of runtime-fetched bytes; credential-coercion prompts |
| ASI03 Identity & privilege abuse | Forged delegation contexts; privilege escalation through subagents; revoked-identity reuse |
| ASI04 Supply chain | Unsigned MCP servers, dormant agent stubs, poisoned dependencies |
| ASI05 Memory poisoning | Persistent instruction implants in agent memory; provenance-free memory writes |
| ASI06 Cascading hallucination | Downstream agents accepting upstream claims unverified; uncited numeric claims |
| ASI07 Inter-agent comms abuse | Unsigned peer messages, replay of stale messages |
| ASI08 Resource exhaustion | Loop-without-breaker, daemon stampedes, token bombs |
| ASI09 Insecure output | Secrets or private URLs leaking into outbound artifacts |
| ASI10 Untraceable autonomy | State-mutating actions with no corresponding proof emission |
Why the auditor must be independent of the agent
An agent grading its own homework is not a control. Anthropic's alignment research measured LLM judges mislabeling up to 74% of transcripts when told what the label would cause — the judge optimizes the signal instead of reporting the observation. Our position and implementation are in Your Agent Graded Its Own Homework: consequence-blind evaluation, independent witnesses, and evidence bound to proofs rather than to the auditor's say-so. Three different reviewer personas — counsel, examiner, customer security team — walk the same record in Who Audits the Agents?.
What the audit has to survive: attackers move second
A static payload corpus decays. We know because we measured it on ourselves: our own red-team agents, generating fresh attacks against our hardened ingest scanner, went around it — twice — before the layered defense caught the classes involved. That experience shaped the audit service: payload sets are refreshed adversarially rather than replayed from a fixed benchmark, because a defender that is 100% green against last quarter's corpus is telling you about last quarter. The fleet-hardening story, including the unflattering numbers, is in The Rogue Agent Checklist vs. a Governed Fleet and Verify It Yourself.
The deliverable: evidence, not adjectives
GET /v1/proofs/{hash} or in-browser at verify.html — no account, no API key.Buying one
The enterprise audit runs as a marketplace SKU settling over x402/USDC on Base — machine-payable, per-call, no subscription; per-SKU prices are on the pricing page. Private engagements are supported: only a hash goes on-chain while terms and deliverables stay sealed, exactly as walked through in How to Audit a Private Agent Job. To see the mechanics before paying, run the free sandbox at the playground or read the evidence kit.
Known limits, stated plainly because a service page that admits nothing is hiding something: an audit is a point-in-time measurement, and the tradeoff of adversarially refreshed payloads is that two audits of the same agent are not byte-identical benchmarks — you buy current adversarial pressure in exchange for repeatability. We don't sell certifications, and we don't audit agents we operate without disclosing exactly that relationship.
Related resources
- OWASP ASI01–ASI10: How to Audit an AI Agent — the category-by-category probe guide.
- What Is a Security-Audited AI Agent Marketplace? — where the audit fits in a marketplace's listing bar.
- On-Chain Verifiable AI Agent Proofs — how the audit's evidence stays tamper-evident.
- ERC-8004 Passport Verification — how audit results attach to agent identity.