Prefactor

Prefactor is the enterprise-grade control plane for AI agents, designed to bridge the critical governance gap that stalls AI agent pilots from moving into secure, compliant production. Built specifically for product and engineering teams within regulated industries like financial services, healthcare, and mining, Prefactor provides a centralized platform to manage AI agent identity, access, and auditability at scale. It transforms the complex challenges of agent authentication and authorization into a single, elegant layer of trust, enabling organizations to deploy agents with confidence. The platform delivers SOC 2-ready security, aligning security, product, engineering, and compliance teams around one unified source of truth. By offering real-time visibility, human-delegated control, and business-context audit trails, Prefactor eliminates the need to rebuild governance infrastructure from scratch. This reduces time-to-production for agent deployments from months to hours, ensuring every agent action is authenticated, properly scoped, and fully auditable, thereby unlocking ROI and accelerating innovation safely.

Real-Time Agent Monitoring

Gain complete operational visibility across your entire agent infrastructure. The Prefactor dashboard allows you to track every agent in real-time, monitoring which agents are active, what resources they are accessing, and where failures or anomalies emerge. This proactive visibility enables teams to identify and address issues before they cascade into major incidents, ensuring system reliability and performance.

Compliance-Ready Audit Trails

Move beyond cryptic API logs. Prefactor's audit trails translate technical agent actions into clear, business-context narratives that stakeholders and compliance officers understand. This feature enables you to generate audit-ready reports in minutes, not weeks, providing definitive answers about what an agent did and why, which is essential for meeting stringent regulatory scrutiny in industries like finance and healthcare.

Identity-First Access Control

Apply proven human identity governance principles to your AI agents. With Prefactor, every agent is assigned a unique identity, every action is authenticated, and every permission is explicitly scoped. This identity-first framework ensures least-privilege access, dramatically reducing security risks and providing a solid foundation for secure agent-to-tool and agent-to-data interactions.

Emergency Kill Switches & Cost Optimization

Maintain ultimate human-in-the-loop control with instant intervention capabilities. Prefactor provides emergency kill switches to immediately halt agent activity if needed. Coupled with detailed cost tracking across compute providers, the platform also helps you identify expensive execution patterns and optimize spending, ensuring both operational control and financial efficiency.

Accelerating POC to Production in Finance

A Fortune 500 financial services firm can use Prefactor to move AI agent pilots from demonstration to secure production. By providing the necessary audit trails, access controls, and real-time monitoring demanded by compliance teams, Prefactor eliminates the governance bottleneck, reducing deployment timelines from months to hours and enabling safe automation of tasks like customer service and fraud analysis.

Ensuring Compliance in Healthcare Operations

Healthcare technology companies deploying AI agents for patient data coordination or administrative automation require strict HIPAA compliance. Prefactor delivers the identity management and business-context audit logs needed to demonstrate how patient data is accessed and used, ensuring all agent actions are scoped, authenticated, and documented for regulatory audits.

Managing Autonomous Systems in Mining & Resources

Mining companies utilizing autonomous AI agents for equipment monitoring or supply chain logistics operate in high-stakes environments. Prefactor provides the centralized control plane to monitor all agents in real-time, implement kill switches for safety, and generate clear audit reports for internal and external safety regulators, ensuring reliable and accountable operations.

Centralizing Governance for Multi-Framework Agent Fleets

Product engineering teams using a mix of AI agent frameworks (like LangChain, CrewAI, or AutoGen) face fragmented governance. Prefactor's integration-ready platform unifies control, providing a single dashboard for visibility, consistent identity policies, and consolidated audit trails across all agents, regardless of the underlying framework, simplifying management at scale.

What is an AI agent control plane?

An AI agent control plane is a centralized governance layer that manages the security, compliance, and operational lifecycle of autonomous AI agents. Prefactor's control plane specifically handles agent identity, authentication, authorization, real-time monitoring, and audit logging, providing the necessary infrastructure to run agents securely and reliably in production environments, especially within regulated enterprises.

How does Prefactor integrate with existing AI agent frameworks?

Prefactor is designed to be integration-ready and works seamlessly with popular AI agent frameworks such as LangChain, CrewAI, and AutoGen, as well as custom-built agents. It typically integrates via SDKs or APIs, allowing you to instrument your agents within hours, not months, without needing to rebuild your existing workflows or architecture.

Is Prefactor suitable for non-regulated industries?

While Prefactor is engineered for the rigorous demands of regulated industries like banking and healthcare, its core benefits of enhanced visibility, operational control, and cost optimization are valuable for any organization scaling AI agent deployments. Companies seeking to manage risk, improve reliability, and maintain clear oversight of autonomous systems will find significant value.

How does Prefactor handle data privacy and security?

Prefactor is built with enterprise-grade security as a foundation. The platform is SOC 2-ready, employing robust encryption, strict access controls, and a principled, identity-first architecture. It is designed to act as a secure governance layer without becoming a data lake; it focuses on logging authentication, authorization events, and action metadata, not necessarily the sensitive payload data processed by your agents.