Pre-Execution AI Governance with Audit Evidence

Fuzentry™ is the pre-execution AI governance layer that lets regulated enterprises run multi-agent AI at scale without losing control, context, or compliance. Built for fintech, healthcare, and GRC environments where AI mistakes carry legal and regulatory consequences.

The Problem Fuzentry™ Solves

The average SR 11-7 enforcement action costs $2M-$47M in fines, remediation, and reputational damage. The problem is not that governance tools do not exist - it is that they log after execution. A log of a breach is not evidence of prevention. When an auditor asks you to prove your AI made a compliant decision, you need more than a chat log.

Fuzentry™ sits between your AI agents and your regulated workflows. Every request is evaluated against your compliance policies before execution. Every decision - whether allowed or blocked - generates a cryptographically signed receipt backed by AWS KMS. Your audit trail is immutable, independently verifiable, and built for examiner review.

Think of it like a Visa Authorization

Visa does not let money move until the authorization fires. Fuzentry™ does not let data move until governance clears it. A blocked PHI query generates cryptographic proof that the block happened - not a record of the breach that followed.

Core Capabilities

Pre-Execution Policy Enforcement Governance decisions are made at the router before any AI agent executes. Requests that violate your policies are blocked and receipted - not flagged after the fact.

Cryptographic Denial Proofs Every blocked request generates three artifacts: a KMS-signed machine receipt (.json), a human-readable PDF your compliance team can open today, and an evidence bundle (.zip) ready for external audit or regulatory examination. Receipts are independently verifiable without Fuzentry™ access.

Folder-Scoped Memory Isolation Tenant and workflow memory is isolated at the folder level. A signed governance token binds tenant workspace at issuance - cross-patient and cross-client data access is architecturally prevented, not just policy-restricted. Satisfies HIPAA minimum necessary standards and SR 11-7 cross-business-unit segregation requirements.

Deterministic Decision Replay Every governance decision can be reconstructed exactly as it happened - same policy snapshot, same request hash, same verdict - for independent verification by regulators, auditors, or GRC platforms. No reconstruction required.

Compliance Audit Trail Full correlation ID tracking across every AI agent interaction. Immutable 7-year WORM retention (exceeds HIPAA 6-year requirement). Evidence packages exportable for examination procedures from day one.

Observer Mode Deploy in evidence-only mode to generate audit trails without blocking production workflows. Upgrade to enforcement mode when regulatory deadlines arrive. No architectural changes required.

How it Works

1. Subscribe via AWS Marketplace - your tenant is provisioned automatically on first subscription event.

2. Receive your API key by email within minutes of activation.

3. Point your AI agents or orchestration layer at the Fuzentry™ API endpoint.

4. Apply a compliance policy pack - prebuilt templates for HIPAA, SR 11-7, DORA, and EU AI Act included.

Governance decisions begin immediately. Signed denial receipts are generated for every blocked request from day one. SDKs available for TypeScript/JavaScript and Python.

Regulatory Coverage

Fintech: SR 11-7 model risk governance, examination-ready audit evidence, cross-business-unit memory isolation

Healthcare: HIPAA Section 164.308/Section 164.312 enforcement, OCR audit trail export, 7-year WORM retention, BAA-compatible deployment options

GRC / EU AI Act: Article 9 risk management documentation, real-time blocking with cryptographic non-repudiation, policy version binding for audit defensibility

DORA Article 11: Operational resilience documentation with sealed governance evidence

Colorado AI Act (effective June 2026): Consequential decision documentation and governance evidence generation

Support

Starter/Growth: Email support with documented SLA tiers Enterprise: Priority support with dedicated Slack channel and direct engineering access Documentation: Available post-activation via customer quickstart portal

Dependency Disclosure

This product extends the functionality of Amazon Web Services (AWS) AI and machine learning services, including Amazon Bedrock and compatible LLM providers. Without an active AWS account and access to at least one supported AI service, this product has limited utility. AWS AI and machine learning services may require their own licenses for full functionality with this listing.

Patent Pending, U.S. | Tailored Techworks LLC