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AI cannot reliably audit AI. ReadyLayer replaces non-deterministic LLM feedback with deterministic policy evaluation, blast radius containment, and signed in-toto evidence bundles.
How code transitions from raw agent synthesis to cryptographically verified production artifact.
The agent (via MCP or CLI) reports its session context. ReadyLayer computes cryptographic SHA-256 hashes of the prompts, model parameters, and tool call traces while redacting secrets and PII.
Files modified are mapped against repository risk tiers. Tier 0 (CI workflows, Terraform, IAM, crypto) and Tier 1 (database migrations, billing) trigger immediate dual-custody flags.
All newly added package dependencies are inspected. AI hallucinated names, synthetic stems, and typo-squatted packages are blocked prior to dependency installation or CI execution.
The portable Go runner evaluates packaged and custom rules locally with no network calls and emits schema-validated JSON output. Benchmark it against your own repositories and hardware before setting a latency objective.
If policies pass, a cryptographically signed in-toto v1.0 Statement and CycloneDX AIBOM are generated and attached to the Git commit. If dual-custody is required, designated security custodians sign before CI allows merge.