Prefactor

What is Prefactor?

Prefactor is a control plane built for teams running AI agents in production across frameworks like LangChain, CrewAI, AutoGen, and AWS Bedrock. It captures every agent run as structured trace data, scores outcomes for quality and task success, and flags risky permissions, PII exposure, or cost drift before they escalate into incidents. Beyond passive monitoring, Prefactor lets teams pause, throttle, sandbox, or block unsafe agent behavior in real time, closing the gap between what an agent was designed to do and what it actually does in the wild.

Key Features

• Full Agent Trace Capture

  Records every LLM call, tool invocation, and decision an agent makes, giving teams a complete audit trail from pilot to production.

• Quality & Risk Scoring

  Runs continuous evals and LLM-as-a-judge scoring on live traffic to catch hallucinations, task-success drops, and regressions before users notice.

• Risk Profiling by Action and Data

  Classifies each agent by what it's permitted to do and what sensitive data categories flow through it, across 17 data types including GDPR special categories.

• Runtime Enforcement

  Blocks risky actions, routes high-risk operations for human approval, and throttles or sandboxes misbehaving agents at the execution layer.

• Drift & Permission Monitoring

  Compares declared agent permissions against actual runtime behavior to surface silently accumulated risk and unauthorized access attempts.

• Cross-Framework Support

  Works across major agent frameworks and providers, including OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, and custom builds.

Use Cases

• Enterprise Agent Governance : Security and compliance teams gain visibility into what every deployed agent can access and do across the organization.
• PII and Data Leak Prevention : Automatically detects and blocks agents attempting to export or leak sensitive customer data to external services.
• Financial and Compliance Workflows : Enforces approval gates and rate limits on agents touching confidential financial systems like SAP GL exports.
• Unregistered Agent Discovery : Automatically detects and sandboxes unknown or unregistered agents attempting system access, isolating them during review periods.
• Production Quality Assurance : Engineering teams track task success rates and latency across all live agents to catch performance regressions early.

FAQs