Every large enterprise now runs AI. Very few can answer the questions that follow: Who approved what this agent just did? Would that approval survive an audit? And if several models agreed, how do you know they were not all wrong together?

Guardrails do not answer these — they filter prompts and outputs at the edge of a single model. Veridect is a full-stack trust layer: an independent control plane that renders a governed, provable verdict on the decision itself, before it executes.

Three problems the market called unsolved now run live on Veridect. Cross-agent risk: Veridect Constellation reads cumulative exposure across a fleet of agents — catching workflows that move data no single action would reveal — and forces a human check on the live action. Verifiable decisions: every verdict is sealed into a tamper-evident, write-once ledger and cryptographically signed; Veridect Proof lets your auditor or regulator re-check the record offline, without trusting our servers. Underwriting-grade evidence: Veridect Assurance renders any governed decision as a neutral evidence record for insurers and risk committees — categories and counts, never raw data.

And when several models agree, Veridect measures whether that agreement is genuinely independent — and escalates confident consensus built on a shared blind spot. Deterministic compliance rules run in plain code; full multi-model cross-examination is reserved for the hard-to-reverse call. Fail-closed by design.

In production under Fortune 100 contracts in regulated industries. Independently red-teamed, results published openly.

See it live: veridect.ai — or find CEO Lisa Russell at the conference.