Audit your AI system for leaks, exploits, and compliance risk—before it becomes a headline.
Sentinel scans your AI code + pipelines to catch the issues that typical scanners miss: PII exposure, prompt injection surfaces, secrets, unsafe dependencies, and weak guardrails. You get a clear report and prioritized fixes.
PII leakage path detected
Customer emails flowing into external model calls without redaction.
Prompt injection surface
Untrusted input used in tool calls; missing allowlist + output validation.
Dependency posture
Minor library advisories; update path provided.
What Sentinel audits
Not just “security scanning.” We focus on AI-specific failure modes plus the classic stuff that still causes breaches.
PII + data leakage
Detects sensitive data flowing into prompts, logs, vector stores, and external model calls without proper handling.
Prompt injection & tool abuse
Finds weak tool boundaries, missing allowlists, unsafe function calling, and output validation gaps.
Secrets & credentials
Spots hardcoded API keys, tokens, .env spills, and risky access patterns across repos and CI logs.
Dependencies & supply chain
Checks dependencies, lockfiles, and build steps for known vulns and risky packages.
Compliance readiness
Maps findings to common control categories so security & legal teams can move fast.
Actionable remediation
Not a “wall of alerts.” You get prioritized fixes, examples, and safe patterns for AI pipelines.
How it works
Simple process, minimal back-and-forth. You keep control of access the whole time.
Secure intake
Connect a repo, upload an archive, or share a limited-access snapshot. We confirm scope + targets.
Automated scan + review
We run AI-specific checks (PII, injection, tool boundaries) plus secrets + dependency analysis.
Report + fix plan
Get a prioritized report with clear next steps, code-level examples, and suggested guardrails.
Pricing
Flat, straightforward package for an AI security audit. (Update this price anytime.)
- PII & data leakage scan (prompts, logs, storage, external calls)
- Prompt injection + tool boundary review
- Secrets, credentials, and access pattern checks
- Dependency vulnerability scan + upgrade guidance
- Prioritized remediation plan (clear next steps)
Want ongoing monitoring or enterprise scope? Add a second package tier beneath this.
What you’ll receive
A report that executives can read *and* engineers can act on.
FAQ
Quick answers to the usual questions.
What do you need access to?
Enough to review the AI pipeline: model calls, prompt construction, tool/function calling, logging, storage (vector DB, caches), and CI/CD. You can share a limited snapshot if needed.
How fast is delivery?
Most audits ship in 24–48 hours depending on repo size and number of services. If you’re under a deadline, we can prioritize the highest-risk surfaces first.
Do you help fix issues?
The standard package includes a prioritized fix plan with examples. If you want hands-on remediation, add a follow-on engagement (hourly or fixed).