AI is making critical decisions about people's health, finances, and insurance every day. We believe those decisions should be provable.
Every decision is cryptographically chained using SHA-256 hashes. If a single byte changes anywhere in the trail, the chain breaks — and everyone knows.
We capture the full reasoning path — evidence gathered, rules applied, confidence scores computed, and the logic behind every gate decision. No hidden layers.
Healthcare, insurance, and financial services face real consequences when AI decisions can't be explained. AuditCore was designed for these environments from day one.
The entire engine runs on Python's standard library — no frameworks, no external packages, no supply chain risk. This is a deliberate architectural choice, not a limitation.
The decision engine is open source because trust infrastructure should be inspectable. Anyone can audit the code that audits AI decisions.
With the EU AI Act, NIST AI RMF, and emerging global frameworks, organizations need audit infrastructure now — not after the first compliance deadline passes.
We'd rather ship fewer features that work perfectly than many features that work "mostly." Every decision path is tested, every hash is verified.
If a system can't explain why it made a decision, it shouldn't make that decision. Full stop.
SHA-256 hash chains provide tamper evidence without requiring blockchain infrastructure, key management systems, or trusted third parties.
Zero external dependencies means the engine runs wherever Python runs — air-gapped networks, embedded systems, or any cloud provider. No vendor lock-in, ever.
Trust infrastructure shouldn't be a black box. The AuditCore engine is open source so that the systems auditing AI decisions can themselves be audited.
View on GitHub →Questions about AuditCore, partnership opportunities, or enterprise deployments?
hello@auditcoreai.com