See how every AI agent performs — and make it better
Prefactor evaluates, observes, and improves every agent in production — across every framework and workflow — with the runtime controls to enforce it.
Operational visibility and control for enterprise AI
Prefactor helps teams understand what agents can access, how they operate, and where risk is emerging — with policies enforced where they matter: at runtime.
Agent Inventory
Maintain visibility into active agents, ownership, connected systems, frameworks, versions, and operational scope across the organization.
- Agent registration
- Ownership and version tracking
- Connected system visibility
- Deployment and lifecycle status
Runtime Boundaries
Enforce action-level policies across agent runtimes. Block risky actions, restrict access, escalate approvals, and maintain control without changing application logic.
- Declarative policy rules
- Real-time enforcement
- Action blocking and throttling
- Approval and escalation workflows
Operational Drift
Detect changes in agent activity, access, and behavior before they become operational issues.
- Runtime activity monitoring
- Risk pattern detection
- Trend analysis and alerts
- Baseline comparisons
Cost Tracking
Attribute token spend, API calls, and compute usage to individual agents so teams understand operational cost across AI systems.
- Per-agent cost tracking
- Token and API attribution
- Cost trend monitoring
- Usage efficiency insights
Sensitive Data Detection
Detect sensitive data exposure across agent flows in real time. Identify personal information, credentials, customer data, and proprietary information before risk escalates.
- Real-time data classification
- Automatic sensitive data detection
- Configurable protection rules
- Escalation and response workflows
Approval Routing
When risky actions are attempted, route decisions to the right owner with full context.
- Automatic action blocking
- Intelligent routing rules
- Full context in approvals
- Async approval workflows
Runtime Activity History
Every agent action logged and queryable, giving teams a clear record of what happened, when, and why.
- Complete action logs
- Immutable records
- Full-text search
- Incident and audit support
Composite Risk Scoring
Combine access, integrations, runtime actions, sensitive data exposure, and operational drift into a single risk signal.
- Multi-factor risk scoring
- Configurable thresholds
- Trend-based alerts
- Automated response triggers
See It In Action
Visibility and intervention for every agent across every framework. From agent inventory to runtime enforcement, Prefactor helps teams detect risk and act before issues escalate.
Unified performance platform for agents, authentication, and risk management
Measure and improve agents as AI spreads
Deploy SDK
Install the Prefactor SDK in your application and instrument your agent runtime with minimal code changes.
Register Agents
Register agents in Prefactor. Define ownership, framework, connected systems, and approved operational scope.
Configure Runtime Boundaries
Define policies that control access, actions, sensitive data exposure, and approval thresholds without changing application code.
Monitor and Enforce
Prefactor tracks agent activity in real time, detects risk, and enforces boundaries automatically at runtime.
Multi-Framework Support
One operational layer across your AI agent frameworks
Have visibility, so you understand what’s going on. But it’s got to be actionable — it’s got to deliver outcomes. Knowing what tools are doing what is one thing, but what can I do with that?Security Lead, Global Wagering Platform
Ready to scale AI without losing control?
See how every agent performs — and make it better
Prefactor helps teams observe, evaluate, and improve their AI agents in production — across every framework and provider.