Security for AI-built software

Built fast. Proven with evidence.

We assess AI-built software before launch through private analysis, reproducible tooling, and human review.

Authorized scopeControlled environmentHuman review and retesting
Evidence GraphFictional demonstration
demo version · commit 8f31…c2a9environment: isolated pre-release
01

Version

Commit and environment identified.

Input
Release candidate and authorized environment.
Evidence and state
Commit 8f31…c2a9 and isolated environment recorded.
Output
An immutable anchor for the full assessment.

Seal available in the official verifier when approved

From scan to decision

An alert points to a problem. Evidence shows whether the version can move forward.

We organize what was tested, what failed, what changed, and what remains — always tied to the assessed version.

Standalone scan

  • Lists alerts
  • May hide execution failures
  • Does not confirm remediation

AI HACKERS assessment

  • Identifies version and plan
  • Exposes coverage gaps
  • Connects risk, remediation, and retest

Choose the kind of assurance

Two independent products. Evidence shaped for each decision.

Available

Security Assurance

An independent assessment connects attack surface, controls, findings, and retests to the exact identity of the software.

Explore the product
Supervised pilot

Data Protection Assurance

An independent product for examining how personal data is collected, used, shared, retained, and disposed of.

Explore the product

Primary product

Launch Check

A pre-release assessment for teams that need to turn a release candidate into a clear decision before delivery or exposure.

  • Frozen version and scope
  • Applicable controls planned
  • Technical evidence reviewed
  • Prioritized findings and limitations
  • Next step and retest when needed
Assess my project
LAUNCH_CHECKrelease_candidate
Traceable decision
LOCAL

Private analysis

Privacy is a property of the process, not a slogan.

Private mode prioritizes sanitized copies, isolation, and previously evaluated local models when applicable. The full chain must be validated; downtime or incomplete coverage remains explicit.

Minimized dataNo credentials in the artifactAuthorized disposable environmentFailures recorded as gaps
Privacy

Three independent axes

Coverage is not a rating.

Security rating

BObserved posture

Confidence

MediumEvidence quality

Coverage

78%Plan executed

Illustrative example — not a real assessment.

Institutional film

Fast code. Evidence-based confidence.

See how AI HACKERS approaches software built at high speed: deterministic tooling, locally assisted AI analysis, human review, and evidence tied to the evaluated version.

This film presents our approach. It does not certify absolute security or guarantee the absence of vulnerabilities.

Open on YouTube
02:23

Continuity

Evidence evolves with the product.

02

Fix & Verify

Confirm remediation in the identified version.

03

Continuous Assurance

Refresh the assessment after material changes.

04

Verified Release

Communicate an approved, verifiable assessment.

Launch Check

Your next version needs a defensible decision.

Start with Launch Check. The contact demonstration transmits no data and starts no testing.

Request a Launch Check