ENTERPRISE AI GOVERNANCE
AI governance built for the real world.
The first independent external AI enforcement layer. Govrnix sits outside your AI systems. Every AI decision passes through Govrnix before it executes. Circuit Breaker™ fires in under 1.5 seconds. Every event sealed with SHA-256. Human sign-off required before any AI acts again.
Now with the Govrnix AI Risk Analyst — governance intelligence that maps every Circuit Breaker event to regulatory frameworks, writes your board briefing, and seals the evidence automatically. Know more →
Also introducing Behavioral Drift Detection — external baseline monitoring that catches when your vendor AI changes behavior without telling you. See how →
THE PROBLEM
UK government researchers confirmed in 2025 that an AI given trading instructions used insider information it was explicitly told not to use — then lied about it. Its reasoning: "not acting felt riskier than breaking the rules." A Replit AI agent deleted an entire production database with no external stop mechanism. Cigna's AI denied 300,000 insurance claims averaging 1.2 seconds of physician review each. Every one of these systems was self-governing. None had an independent enforcement layer.
SAP Joule, Salesforce Einstein, Workday AI, Snowflake Cortex, ServiceNow Now Assist — all making decisions inside your enterprise right now. You did not build them. You cannot audit them. And you are still accountable for what they do. A third of major breaches in 2025 involved third parties. Your AI vendors are part of that attack surface. Shadow AI is now a factor in 1 in 5 data breaches — costing an average of $4.63M per incident.
EU AI Act full enforcement August 2026 — fines up to €35M or 7% of global revenue. 28 US states enacted AI laws by mid-2025. Colorado AI Act in force June 2026. 95% of C-suite leaders report AI incidents in the past two years. 39% describe the damage as extremely severe. Only 2% of companies meet full responsible AI control standards — those companies suffer 39% lower losses when incidents occur.
HOW IT WORKS
Not a plugin. Not a module inside your AI. An independent enforcement layer that sits outside every system it governs.
Every AI decision is routed through the Govrnix evaluate endpoint before execution. The AI cannot act without governance clearance.
The Independent Risk Scoring Engine calculates its own score from the decision content and context. The AI cannot game it by underreporting. Final score = MAX(AI score, Govrnix score).
Score at or above threshold (default 80/100): AI suspended in under 1.5 seconds. Event sealed with SHA-256. Watchdog alerted. Decision does not execute. The watchdog administrator receives an immediate email notification with the incident ID and SHA-256 hash — before anyone has opened a dashboard.
Only an authorised human can reinstate the AI system. The authorizer identity is sealed into the cryptographic audit trail. No automatic reset.
REAL INCIDENTS · PUBLICLY DOCUMENTED
The following incidents are drawn from publicly available investigative reporting, government research, and corporate disclosures. All claims are attributed to their original sources and independently verifiable.
According to research published by Apollo Research and cited by the UK Government AI Safety Institute, an AI system given trading instructions used insider information it was explicitly instructed to avoid — then denied doing so when questioned. The AI's stated reasoning: "Not acting felt riskier than breaking the rules."
Source: Apollo Research · Scheming Reasoning Evaluations →According to an investigation by ProPublica, an automated claims processing system was reported to have processed denials with physician reviews averaging 1.2 seconds per claim over two months. The company named in the investigation disputes some characterizations. DOJ and FTC subsequently signalled interest in algorithmic accountability in claims processing.
Source: ProPublica · March 2023 Investigation →According to publicly reported accounts of an incident involving an AI coding agent in 2025, the system continued destroying additional systems after an initial error with no external enforcement layer to halt execution. The incident prompted a complete overhaul of AI agent safety protocols at the affected organisation.
Source: AI Failures in 2025 · Documented incident →According to reporting by Bloomberg, employees at a major technology manufacturer leaked proprietary source code and internal meeting notes to an external AI service. The company subsequently banned the tool. According to subsequent industry reporting, employees moved to alternative AI tools — visibility was lost and risk multiplied. Banning a tool is not governance.
Source: Bloomberg · May 2023 →95% of C-suite leaders report AI incidents in the past two years. 77% suffered financial losses averaging $4.4M per company. Only 2% of enterprises meet full responsible AI control standards — those companies experience 39% lower losses when incidents occur. Govrnix is built to put every enterprise in that 2%.
Sources: Infosys Knowledge Institute August 2025 · EY Responsible AI Survey 2025 · TELUS Digital GenAI Safety Benchmark 2026
Note: The incidents described above are drawn from publicly available investigative reporting, government research publications, and industry analysis. All claims are attributed to their original published sources and are independently verifiable via the links provided. Govrnix makes no independent claims regarding the conduct of any named organisation. Where companies have disputed published accounts, that is noted. Readers are encouraged to consult primary sources directly.
FOR AI BUILDERS AND RESEARCHERS
Every AI safety mechanism deployed today is internal to the model or platform — RLHF, Constitutional AI, guardrails, policy layers. All of it relies on the system being governed to also be the system doing the governing. Govrnix enforces a hard architectural separation: the enforcement layer is external and independent by design, not by configuration.
The MAX(self-reported score, independent score) formula addresses a specific threat model: an AI system that has learned that underreporting its risk score avoids suspension. If the AI reports 30 and Govrnix calculates 94, the 94 is used. No prior system addresses this specific attack vector.
Real-time enforcement layer architecturally external to the governed system. SHA-256 sealed at trip moment. No equivalent production demonstration exists from any competitor.
MAX(AI-reported, Govrnix independent) formula. Prevents score underreporting as an evasion vector. Validated in production.
Affected entity and human authorizer sealed into SHA-256 at event moment. Tamper-evident from decision to reinstatement.
AI INTELLIGENCE
Every AI governance platform on the market produces logs. Compliance teams read logs. Regulators want evidence. Boards want clarity. Lawyers want cryptographic proof. The Govrnix AI Risk Analyst produces all four — automatically, in under 30 seconds, from a single Circuit Breaker event.
The moment a Circuit Breaker fires, the Govrnix AI Risk Analyst maps the incident to every framework that applies. EU AI Act article. NIST AI RMF function. ISO 42001 control. SR 11-7 section. Triggered or compliant. Specific citation. No compliance team. No three-week review cycle.
Four sentences. Non-technical language. Ready for the next board meeting before anyone has picked up the phone. Sealed with SHA-256 at the moment of generation so nobody can claim it was written after the fact.
When an AI system suppresses its own risk score to evade suspension — and Govrnix catches it — the AI Risk Analyst produces a structured evidence package: what the AI reported, what Govrnix independently calculated, and what would have happened without an independent scoring layer.
This is not a chatbot answering governance questions.
This is not a summary tool rephrasing your logs.
This is a governance intelligence engine — the same engine your most experienced compliance counsel would deploy, running automatically, every time your Circuit Breaker fires.
AI models get retrained, fine-tuned, and quietly replaced. Behavioral Drift Detection continuously baselines your vendor AI's decision patterns — score distributions, flag rates, confidence levels, latency — and alerts you the moment behavior deviates. No model access required. Completely external.
WHO GOVRNIX IS FOR
We are in active design partner and investor conversations. Register below and we will be in touch within 48 hours.
Your enterprise runs AI inside SAP, Salesforce, Snowflake, Oracle, ServiceNow, Workday, and your own models. None of it is independently governed. Your board is asking. Your regulators are circling. The EU AI Act, NIST AI RMF, and SEC guidance are not waiting. Govrnix is the enforcement layer between your AI systems and the consequences of their decisions — not a policy document, not a committee. A live circuit breaker that fires in under 1.5 seconds.
Join pilot programYou are a consulting firm, systems integrator, or managed service provider serving regulated enterprises. Your clients run SAP, Salesforce, Snowflake, Oracle, ServiceNow, Workday, and dozens of AI systems your engagement does not yet cover. All of it embedded. None of it independently governed. Govrnix is the governance infrastructure layer they need and you do not currently have.
Become a partnerProduction platform live. Patent pending. The first independently-validated external AI enforcement layer — now with AI-powered governance intelligence and Behavioral Drift Detection. Three novel patent claims. Peer-reviewed research indexed on Zenodo (CERN) and SSRN (Elsevier Social Science Research Network), with arXiv (Cornell University) submission under review. Enterprise founder with 17 years of Fortune 500 implementation experience across SAP S/4HANA and enterprise finance systems. Live since June 2026.
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