What AURORA does
AURORA is an evidence-custody layer for AI decisions and agent actions. Instead of trusting model logs at face value, it packages each consequential action into a signed record that any third party can later verify against the original data. The public tagline on the site is evidence for every AI decision.
Cryptographic sealing
Each audit package is protected by a stack of well-known primitives: SHA-256 hashes for the content, RSA-2048 for the signature, and RFC 3161 trusted timestamps from a time-stamping authority. That combination gives you an integrity proof, an authorship proof, and a wall-clock proof, so a reviewer can confirm what was decided, by which system, and when.
Because the tool relies on standardised primitives rather than a proprietary format, existing security teams can review the guarantees without learning a new system. SHA-256 with RSA-2048 remains a widely accepted default, and RFC 3161 is the same timestamp standard used across many national e-signature stacks.
Who it is for and how to verify
- Teams shipping agents that touch money, contracts, health, or infrastructure, where an after-the-fact audit is expected.
- Compliance and legal owners who need a durable record of AI-assisted decisions rather than free-text logs.
- Vendors that want to hand customers or regulators an independently verifiable receipt of an automated action.
Because the package is sealed with public-key cryptography and a trusted timestamp, a reviewer does not need access to the AURORA infrastructure to check it. Anyone holding the audit bundle can recompute the hash, check the RSA signature against the public key, and query the timestamp authority. That is what the site refers to as public verification.
Where it fits in an AI stack
AURORA sits alongside the model or agent rather than inside it. The application still calls whichever LLM or workflow tool it prefers; AURORA captures the input, output, and metadata for the actions you flag as consequential and stores a signed receipt for later replay. That decoupling means teams can adopt or swap agent frameworks without losing their audit history.
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