Quad-AI · See it live
Trust what your AI says.
Govern what it does.
The live system, five ways in. Pick one — nothing to install, nothing to configure.
The Governance Suite — Narrated Guided Tour
Seventeen narrated stations run the production engine: govern a real action, verify its signed record, tamper with a copy, and inspect agent identity, cross-agent exposure, human oversight, regulatory and assurance evidence, and a governed MCP tool call. Continue through policy self-testing, replay, dissent and fleet convergence. Four additional instruments — the near-miss ledger, case-law engine, policy frontier and model character ledger — are available through the engine’s API. Press play and follow the live results, station by station.
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The Pre-Action Gate
Watch an AI agent get greenlit, escalated, or blocked before it moves money, sends data, or changes a record.
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Red-Team It
Real high-stakes attacks, run against the trust layer in the open — see exactly where it holds.
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The Child-Safety Bench
The same engine protecting Instant Tutor, a separate deploying company. Try grooming-shaped lures, personal-info solicitation and jailbreak attempts against the production safety pipeline. These are Veridect’s first-party checks of that integration; deterministic blocks land before a model is called.
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The Consensus Engine
Four leading AI models cross-check a single answer and return it with a confidence score — the place to start if this is new.
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Documentation · open access
Executive Brief — five questions, plain answersPAGE
Agentic Trust Layer — White PaperPDF
Pre-Action Gate — Architecture OverviewPDF
Independent Validation — Red-Team SummaryPAGE
Critical Solutions — the sixteen, in detailPAGE
Architecture Assessment & Data PackPDF
Public Integration GuidePDF
Six platforms, one engine — Snowflake, Microsoft, AWS, ServiceNow, CrowdStrike, Rubrik, each run livePAGES
Every answer and every action leaves a tamper-evident, hash-verified record.
Lisa Russell, CEO