Prefactor

Prefactor is the definitive control plane for AI agents, engineered to bridge the critical governance gap that emerges when autonomous systems transition from experimental proofs-of-concept to governed, production-ready assets. It provides the essential layer of trust and operational integrity required by SaaS companies and regulated enterprises in sectors like finance, healthcare, and mining. The platform addresses a fundamental challenge: while AI agents excel in demos, they often fail in production due to a lack of visibility, control, and auditability. Prefactor solves this by bestowing every AI agent with a first-class, auditable identity, applying the rigorous principles of human identity and access management to the autonomous software layer. By offering dynamic client registration, delegated access, and fine-grained policy controls, it creates a single, elegant source of truth. This enables security, product, engineering, and compliance teams to align, providing shared visibility, control, and compliance-ready audit trails. Built with scalability and stringent standards in mind, Prefactor delivers SOC 2-ready security, human-delegated oversight, and interoperable OAuth/OIDC support, empowering organizations to deploy AI agents with confidence.

Real-Time Agent Monitoring

Gain complete operational visibility across your entire agent infrastructure. The control plane dashboard allows you to track every agent in real-time, monitoring which agents are active, what resources they are accessing, and where failures or anomalous patterns emerge. This proactive visibility enables teams to identify and address issues before they cascade into significant incidents, ensuring smooth and reliable agent operations.

Identity-First Governance & Control

Prefactor brings mature governance principles to the autonomous layer by providing every AI agent with a distinct, auditable identity. Every action is authenticated, and every permission is precisely scoped. This identity-first approach, featuring dynamic client registration and fine-grained policy controls, ensures that agents operate within strictly defined boundaries, mirroring the security and compliance frameworks used for human access within the enterprise.

Compliance-Ready Audit Trails

Move beyond cryptic API logs to audit trails that speak the language of business and compliance. Prefactor translates granular agent actions into clear, contextualized records that stakeholders can understand. When auditors or compliance officers ask "what did the agent do?", you can generate audit-ready reports in minutes, providing definitive answers that withstand regulatory scrutiny in highly controlled industries.

Enterprise-Grade Security & Integration

Built for production environments where compliance is non-negotiable, Prefactor delivers SOC 2-ready security foundations and emergency kill switches for immediate intervention. It offers seamless interoperability with OAuth/OIDC standards and integrates smoothly with popular agent frameworks like LangChain, CrewAI, and AutoGen, allowing teams to deploy a governed control plane in hours, not months.

Scaling AI Pilots in Regulated Finance

A Fortune 500 financial services firm can move its AI agent pilots from limited demos to full-scale production. Prefactor provides the necessary audit trails, real-time monitoring, and identity controls to satisfy stringent internal compliance and external regulatory requirements, enabling the secure deployment of agents for tasks like automated financial analysis and client reporting.

Ensuring Operational Integrity in Healthcare

Healthcare technology companies can deploy AI agents for tasks such as patient data triage or administrative automation while maintaining strict HIPAA and data privacy compliance. Prefactor's governance layer ensures every agent action is authenticated, scoped, and auditable, creating a verifiable chain of custody for sensitive health information.

Managing Autonomous Systems in Resource Industries

Mining and industrial companies utilizing autonomous agents for operational planning and safety monitoring require unwavering reliability. Prefactor offers the real-time visibility and emergency control mechanisms needed to oversee these critical systems, ensuring they operate as intended and can be immediately halted if necessary, mitigating operational risk.

Centralizing Governance for Multi-Framework AI Teams

Product and engineering teams running multiple agent pilots using different frameworks (e.g., LangChain, CrewAI, custom code) can unify their governance. Prefactor acts as a single control plane across all agents, providing consistent identity management, policy enforcement, and a centralized dashboard for visibility, simplifying oversight and accelerating responsible deployment.

What is an AI Agent Control Plane?

An AI Agent Control Plane is a governance infrastructure layer specifically designed for autonomous AI systems. It provides the essential tools for identity management, access control, real-time monitoring, and auditability that are required to operate AI agents safely, reliably, and compliantly at scale in production environments, much like how IAM systems govern human users.

How does Prefactor handle compliance for regulated industries?

Prefactor is engineered with regulated industries as a primary focus. It generates business-contextual audit trails instead of opaque technical logs, supports fine-grained, justification-based access policies, and is built on a SOC 2-ready security foundation. These features ensure that every agent action is documented and defensible, meeting the rigorous standards of financial, healthcare, and other regulated sectors.

Can Prefactor integrate with our existing AI agent frameworks?

Yes, Prefactor is designed for interoperability. It offers seamless integration with leading AI agent frameworks and libraries such as LangChain, CrewAI, and AutoGen, as well as custom-built agents. Its support for standard protocols like OAuth/OIDC and MCP (Model Context Protocol) allows for deployment into existing technology stacks within hours, not months.

What is the "emergency kill switch" functionality?

The emergency kill switch is a critical safety feature that provides human operators with the immediate ability to deactivate or halt one, a group, or all AI agents in the event of unexpected behavior, a security incident, or a policy violation. This ensures that human oversight remains the ultimate authority, allowing for rapid intervention to prevent operational or financial damage.