AI Governance, Risk & Compliance That Operates in Real Time
Move from GRC documentation to GRC enforcement. Prefactor continuously assesses every agent against your policies, quantifies risk across your fleet, and generates the compliance evidence your frameworks require.
The Challenge: GRC Without Operational Controls
AI agents introduce risks that traditional GRC tooling wasn't built to handle:
📄 Policies Without Enforcement
Your organisation has AI governance policies, frameworks, and principles. But nothing enforces them at runtime. Agents operate in production with no continuous assessment against the standards you've defined.
🎲 Unquantified Agent Risk
Agents operate without continuous risk assessment. You have risk frameworks, but no operational system that quantifies agent risk in real time — across quality, cost, and scope dimensions.
⏱ Compliance Evidence Gaps
When regulators or internal audit ask for evidence of controls, you have policy documents but not operational records. No immutable trail of what agents did, what was assessed, and what decisions were made.
How Prefactor Enables Operational GRC
Prefactor turns GRC frameworks into enforceable runtime controls:
🎯 Continuous Policy Enforcement
Define governance rules once. Prefactor enforces them on every agent, every run, automatically. Scope boundaries, quality thresholds, cost limits, and approval requirements execute as runtime controls — not periodic reviews.
📈 Composite Risk Scoring
Every agent run generates a composite risk score from three dimensions: outcome quality, cost efficiency, and scope adherence. Risk is quantified continuously — not assessed periodically.
⛔ Configurable Thresholds & Enforcement
Set risk thresholds that match your organisation's risk appetite per agent, team, or classification. When agents exceed thresholds, Prefactor blocks inline or routes to human approval — automated risk response that doesn't wait for someone to notice a dashboard.
🔄 Approval Workflows
When agents cross governance thresholds, decisions route to the right people — agent owners, governance leads, compliance, or risk teams. Configurable chains with context-rich approval requests including risk scores, assessment details, and agent history.
📋 Immutable Audit Trail
Every agent action, risk assessment, threshold decision, and governance outcome is recorded in a tamper-proof log. Exportable for regulatory review, internal audit, risk committee reporting, and compliance evidence.
🗂 Agent Registry & Portfolio View
Central inventory of every agent across the organisation. Track ownership, deployment status, governance classification, and aggregate risk across your entire fleet. No shadow agents, no blind spots.
Regulatory & Framework Alignment
Prefactor supports the GRC frameworks your team operates within:
EU AI Act
Continuous risk assessment and operational governance controls support EU AI Act requirements for high-risk AI systems. Immutable audit trails provide evidence of ongoing compliance.
NIST AI RMF
Prefactor's Track → Assess → Act loop maps directly to the NIST AI Risk Management Framework govern and manage functions. Continuous monitoring and risk scoring built in.
ISO 42001
Agent registry, lifecycle governance, and operational controls support ISO 42001 AI management system requirements. Governance evidence is generated automatically.
Three Lines of Defence
Prefactor supports the three lines model: agent teams set operational controls (first line), governance teams configure policies and thresholds (second line), and audit teams access immutable evidence (third line).
SOC 2 & Industry Standards
Immutable audit trails, access controls, and policy enforcement provide the operational evidence needed for SOC 2 audits and industry-specific compliance requirements.
Frequently Asked Questions
How is Prefactor different from governance documentation tools like Credo AI?
Credo AI produces governance documentation — model cards, bias reports, compliance artefacts. Prefactor enforces governance operationally — continuous assessment, inline blocking, and approval routing on every agent run. They're complementary: Credo documents that governance exists, Prefactor ensures it executes.
How does Prefactor calculate risk scores for agents?
Prefactor generates a composite risk score from three dimensions: outcome quality (did the agent produce the right result), cost efficiency (was the spend proportionate), and scope adherence (did the agent stay within approved boundaries). Each dimension is scored per run, and the composite score drives enforcement actions.
Can we set different risk thresholds for different agent types?
Yes. Thresholds are fully configurable per agent, per team, per business unit, or per risk classification. A customer-facing agent might have stricter quality thresholds than an internal automation agent. Risk appetite is encoded in the configuration.
Does Prefactor support our existing compliance framework?
Prefactor is framework-agnostic and maps to EU AI Act, NIST AI RMF, ISO 42001, SOC 2, and industry-specific requirements. The operational controls and audit trails adapt to your framework rather than imposing a new one.
How does Prefactor support regulatory reporting?
Every risk assessment, threshold breach, and enforcement action is recorded in an immutable audit trail. This data is exportable in formats suitable for regulatory reporting, internal audit, and risk committee review. Evidence is generated continuously, not compiled at reporting time.
Continue your research
GRC Intelligence Dashboard
Continuous risk scoring, policy enforcement, and compliance evidence across your entire agent fleet.
Unified control center for agents, authentication, and risk management
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See how Prefactor turns governance, risk, and compliance frameworks into enforceable runtime controls across your agent fleet.
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