Runtime AI Authorization for Regulated Markets
Every regulated industry faces the same challenge: deploying AI at scale while producing the audit trails, authorization controls, and compliance evidence its regulators expect. FERZ provides the enforcement layer that makes this possible. Proof of authorization, not probabilistic confidence.
The principle is the same in every vertical: a proposed AI action is evaluated against codified rules before it executes, receives a verdict of ALLOW, DENY, or ABSTAIN, and leaves a tamper-evident, replayable authorization artifact behind. What changes by industry is which rules apply and what the evidence must survive.
Select Your Industry
FERZ provides governance configurations for each regulated vertical, designed around industry-specific regulatory requirements. Each vertical is paired with a published executive guide.
Governance for FDA Submission Contexts
Deterministic governance with tamper-evident, replayable records, built for environments shaped by FDA PCCP change-control expectations. Designed to support HIPAA-aligned deployments.
Replayable Decision Trails
Tamper-evident, replayable decision records and bias-constraint evidence for regulatory examination contexts, including model risk governance.
Bias-Constraint Evidence for Underwriting
Bias-constraint evidence and tamper-evident decision records for state regulatory examination contexts.
Distributed Authority and Examinable Records
Distributed authority over governing rules and decision records, with tamper-evident, replayable evidence. Designed for constrained environments.
Why Regulated Industries Need Deterministic Governance
Probabilistic AI systems create regulatory exposure that traditional guardrails cannot address. Regulated deployments increasingly need proof, not probability.
Audit Trail Requirements
Regulated environments require reproducible, tamper-evident records of AI-assisted decisions. Logs capture what happened; authorization infrastructure proves why it was permitted.
Liability Exposure
When AI systems influence decisions in regulated environments, organizations need defensible evidence that outputs met policy constraints, not just statistical confidence scores.
Regulatory Momentum
EU AI Act obligations, FDA AI/ML guidance, and financial-services examination pressure are raising the cost of ungoverned AI. Provable governance and defensible decision trails are becoming the baseline.
Deterministic Governance vs. Probabilistic Guardrails
FERZ operates at a different layer than AI safety tools. It does not estimate risk. It authorizes actions against codified rules and records the basis as evidence.
Probabilistic Guardrails
- Estimate likelihood of harmful outputs
- Generate logs after the fact
- Rely on narrative explainability
- Behavior varies run to run
- Trust claims without verification
Deterministic Governance
- Authorize only permitted actions
- Produce an authorization artifact at decision time
- Enable independent audit replay
- Identical inputs yield identical governance
- Designed for third-party verification
One Architecture Across Verticals
Core capabilities that adapt to industry-specific regulatory requirements while maintaining a consistent authorization architecture.
Replayable decision trails
Every verdict is recorded as a tamper-evident, replayable authorization artifact designed for independent verification.
Documented thresholds
Bias constraints enforced against documented thresholds, with evidence designed for regulator-facing review.
Codified rules, fail-closed
Actions are evaluated against codified rules before execution. When governance conditions are not met, execution is blocked, not allowed by default.
Environment flexibility
Architected for cloud, on-premises, air-gapped, and edge environments.
Ready to explore deterministic governance?
Tell us about your industry and use case. We will help you understand how runtime authorization fits your environment.