Stop guessing. Start governing.
Digital Trust posture for ISO/IEC 42001, NIST 800-171, and the EU AI Act—operationalized at the deterministic execution boundary.
In the era of Agentic AI, "I think it's safe" is a liability. BiDigest replaces probabilistic safety policies with an Admissibility Control Plane. We enforce continuous control over your agentic and corporate AI footprint, turning undocumented risk into a Merkle-sealed Defensibility Artifact for your board, auditors, and insurers.
For public citation share and per-LLM market readouts, use the Visibility Engine— this page is execution governance only.
Why this matters now
Governance under convergence
The question is shifting from "Do we have an AI policy?" to "Can we afford the gap between what we approved earlier and what we are about to commit?" Three pressures often land on the same systems and budgets—so routing around execution architecture gets expensive.
Liability & operational risk
Agentic and automated workflows raise expectations for attribution and replay after a bad outcome—not a slide deck alone.
Regulatory & audit clocks
Frameworks increasingly expect demonstrable controls and traceable decisions for material systems—scope varies by tier and jurisdiction.
Cryptographic transition
PQC roadmaps and long-lived evidence raise the cost of informal audit trails and mutable narratives.
Structural risk: time-of-check to time-of-use—approving intent at t1 and executing against the world at t4 without re-binding at the commit boundary is how stale authority becomes committed reality.
From
- Visibility and post-hoc logs as the whole story
- "We evaluated it upstream"
To
- Admissibility and evidence at the execution boundary for state-changing actions
- Provable record of what crossed the boundary, when
The end of "performance theater"
Static policies and periodic audits cannot govern AI operating at machine speed. Regulators—including the Bank of England PRA and the SEC—are moving toward continuous control: real-time risk visibility and system-level accountability. BiDigest enforces governance across two structural boundaries:
The admissible state space (upstream)
We calculate a per-LLM Identity Fidelity Quotient (IFQ) against your encrypted Ground Truth and Anchor Prose. We surface Shadow Sources—stale docs, unapproved APIs, or third-party narrative—before they can justify a harmful or non-compliant state-change.
The commit boundary (downstream)
No silent failures. We engineer a <50ms Triple-Lock execution gate (Legal, Risk, Engineering). If an agent attempts a state-change without cryptographic authority, the system fails closed—it does not rely on vendor "safety" vibes or a 24-hour inbox queue to catch bad payloads.
Immutable ground truth you can prove
When an auditor or client asks why an AI made a specific decision, mutable server logs and vendor dashboards are not enough.
- Merkle-sealed evidence packs. Every admitted agentic resolution is backed by raw evidence, sealed with SHA-256 (and Merkle-chained where Trustee flows apply). You can show exactly what was ingested and what was executed.
- Supply-chain liability defense. Third-party AI must not bypass your enterprise gate. The Sovereign Vault pattern ensures vendor outputs are verified before they interact with operations—aligned with enterprise liability when deployment, not only the vendor, is in scope.
- No averaged scores. Risk is computed with per-model granularity (e.g. ChatGPT vs. Claude vs. Gemini). There is no single "overall score" that hides a critical failure on one surface.
Verify a sealed run when your organization publishes verification URLs.
The AI Governance Maturity Assessment
See whether your controls are advisory, procedural, or deterministic at the execution boundary.
Question 1 of 5
The Execution Boundary
An autonomous agent proposes a $50,000 credit adjustment in your ERP. What happens?
Built for 2026 audit trails
The BiDigest Admissibility Engine maps to the frameworks that drive enterprise survival:
EU AI Act (Art. 13 & 14)
Operationalized through per-LLM transparency findings and Human-in-the-Loop (HITL) affirmation blocks tied to the Forensic Ledger—ex-post documentation and oversight evidence, not manual review of every execution in place of the Commit Boundary.
NIST AI RMF 2.0
Feeds Govern / Measure / Manage with quantitative IFQ metrics and deterministic drift classifications—not narrative-only risk registers.
Continuous recertification
A 90-day rolling audit trail with an Executive Compliance Scorecard (production-ready %, recertification status, per-system metadata)—continuous control, not annual slide updates alone.
ISO/IEC 42001
Supporting evidence for AI management system certification: monitoring, oversight, and tamper-evident artifacts you can hand to an assessor.
Close the consequence gap.
Map your regulatory perimeter and see how deterministic gates apply to your stack—no generic contact form.
Human oversight and the Forensic Ledger
Execution is decided at the Commit Boundary in milliseconds. Humans do not replace that gate with email queues for every payload. For EU AI Act Art. 14, your designated overseer affirms oversight using HITL blocks tied to the Merkle-sealed ledger—proving who reviewed what, after the deterministic admit/deny decision is recorded.
- • Typically a COO, CCO, or engineering risk owner—not an untrained queue.
- • Empowered to trigger remediation and policy updates when the ledger shows drift or policy change.
- • Documented in artifacts your auditor can trace to hashes, not screenshots.
Vault intake
Forensic intake: domain, sector, regulatory identifiers. Sealed reconciliation path for Trustee workflows.
Governance roadmap
In-development control-plane capabilities and evaluation criteria.
Execution-boundary simulator
Synthetic payloads, metadata grid, 403 receipts—fail-closed behavior in the browser.
State of Admissibility 2026
White paper skeleton: commit boundary + Triple Lock videos, Markdown source, regulatory mapping appendix.
Wiring guide (Governance-as-Code)
Schema and Machine Handshake steps for engineers.
Read Invisible No More for the full narrative. Stakeholder objections (CTO / CCO / auditor).
Glossary FAQs
Short definitions used across the governance funnel.
What is Admissibility?
Whether an output or action may cross the execution boundary: anchored to approved Ground Truth and policy, with proof—not inferred from uncontrolled sources.
What is IFQ?
Identity Fidelity Quotient: deterministic alignment of agent intent with authorized identity and Anchor Prose, reported per LLM where applicable.
What is a Shadow Source?
Unverified inputs—stale docs, forums, rogue APIs—that must not drive operational or regulated decisions without passing the control plane.
What is Governance-as-Code?
Machine-readable policy and schema enforced at runtime, not only described in documents.
Try the execution-boundary simulator · API integration brief · Sovereign Tier · Pricing