The Agent Runtime Control Plane
Visibility, boundaries, and audit trails for every AI agent across every framework. Enterprise governance without enterprise complexity.
Complete Agent Governance
Enterprise-grade runtime control for all your AI agents. Policies enforced where it matters: at the agent runtime layer.
Agent Registry
Manually register agents and track their lifecycle. Full visibility into ownership, version, framework, and deployment status in a single source of truth.
- Manual agent registration
- Ownership & version tracking
- Deployment status monitoring
- Retirement & archival
Runtime Policies
Enforce policies at the agent runtime layer, not application logic. Block, throttle, sandbox, or escalate actions — agents cannot reason around your rules.
- Declarative policy syntax
- Real-time enforcement
- Action blocking & throttling
- Automatic escalation
Quality Assessment
Continuous scoring of agent outcomes. Understand quality trends and identify degradation before it impacts users.
- Automated quality scoring
- Task-specific metrics
- Trend analysis & alerts
- Baseline comparisons
Cost Tracking
Attribute token spend, API calls, and compute to individual agents. Understand true efficiency and ROI per agent.
- Per-agent cost tracking
- Token & API attribution
- Cost-to-outcome analysis
- Efficiency scoring
PII Detection
Automatic real-time classification of sensitive data across agent flows. Prevent leaks of personal info, credentials, or proprietary data.
- Real-time data classification
- Automatic detection
- Configurable rules
- Compliance exports
Approval Routing
When thresholds are crossed, automatically route high-risk actions to the right approver with full context. Configurable workflows for any approval structure.
- Automatic action blocking
- Intelligent routing rules
- Full context in approvals
- Async approval workflows
Immutable Audit Trail
Every action logged and queryable. Build compliance confidence with complete visibility into agent behavior over time.
- Complete action logs
- Immutable records
- Full-text search
- Compliance exports
Composite Risk Scoring
Combines quality, cost, and scope into a single risk signal. Set thresholds and trigger safeguards automatically.
- Multi-factor scoring
- Configurable thresholds
- Trend-based alerts
- Auto-remediation
See It In Action
A single runtime control plane for every agent across every framework. From mission control to audit trails.
Unified control center for agents, authentication, and risk management
How It Works
Deploy SDK
Install the Prefactor SDK in your application. Instrument your agent runtime with minimal code changes — typically just a few lines of initialization code.
Register Agents via CLI
Register agents in Prefactor. Define ownership, set framework type, and establish the baseline configuration for each agent in your registry.
Configure Policies
Define policies that run at the runtime layer. Control actions, enforce data protection, and set approval thresholds — all without touching application code.
Monitor & Enforce
Policies enforce automatically at runtime. Monitor performance, quality, cost, and risk in real time with comprehensive dashboards and alerts.
Multi-Framework Support
Single runtime control plane across all 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