AI Agent Risk Management That Scales
Continuous risk assessment across your entire agent fleet. Composite risk scores, configurable thresholds, and automated enforcement — so risk management scales with your AI programme.
The Challenge: AI Risk Without Continuous Assessment
Risk teams face a new category of operational risk with AI agents:
🎲 Unquantified Agent Risk
Agents operate in production 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.
🔄 Static Controls for Dynamic Systems
Traditional risk controls are periodic — quarterly reviews, annual assessments. Agents change behaviour continuously. Static controls can't keep pace with dynamic systems that make thousands of decisions per hour.
📊 No Risk Aggregation
Individual agent issues are hard enough to catch. Aggregating risk across an entire agent fleet — identifying patterns, trends, and systemic exposure — is impossible without an operational risk layer.
How Prefactor Enables AI Risk Management
Prefactor provides continuous, quantified risk management for AI agent deployments:
📈 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
Set risk thresholds that match your organisation's risk appetite. Different thresholds for different agent types, business units, or risk classifications. When thresholds are crossed, Prefactor acts.
⛔ Inline Enforcement
When agents exceed risk thresholds, Prefactor blocks inline or routes to human approval. Automated risk response that doesn't wait for someone to notice a dashboard alert.
🔄 Approval Routing
High-risk agent actions route to the right decision-maker — agent owner, risk team, compliance, or escalation chain. Context-rich approval requests with risk scores, assessment details, and agent history.
📋 Risk Audit Trail
Immutable record of every risk assessment, threshold decision, and enforcement action. Tamper-proof evidence for regulatory review, internal audit, and risk committee reporting.
📊 Portfolio Risk View
Aggregate risk across your entire agent fleet. Identify systemic risk patterns, high-risk clusters, and risk trends over time. Portfolio-level risk intelligence for strategic decisions.
Risk Framework Alignment
Prefactor supports the risk frameworks and standards your team operates within:
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).
Operational Risk Management
AI agents introduce a new category of operational risk. Prefactor provides the continuous assessment and control infrastructure that operational risk frameworks require for automated decision-making systems.
Regulatory Risk Reporting
Risk scores, threshold breaches, and enforcement actions feed directly into regulatory risk reporting. Evidence is generated automatically as agents operate — not compiled manually at reporting time.
Enterprise Risk Aggregation
Agent-level risk data aggregates into portfolio-level views. Feed AI risk metrics into your enterprise risk management system to maintain a complete organisational risk picture.
Frequently Asked Questions
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.
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.
Does Prefactor integrate with our existing risk management systems?
Prefactor provides API access to all risk data — scores, assessments, enforcement actions, and audit records. Feed agent risk metrics into your enterprise risk management platform, GRC tools, or custom reporting infrastructure.
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Risk Intelligence Dashboard
Continuous risk scoring, permission monitoring, and policy enforcement across your agent fleet.
Unified control center for agents, authentication, and risk management
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