Prefactor

Prefactor is the essential control plane for AI agents, designed to bridge the critical gap between promising proof-of-concept demos and secure, compliant production deployments. It provides a centralized governance layer for organizations running multiple AI agents, particularly within complex, regulated industries like financial services, healthcare, and mining. The platform addresses the fundamental challenge of managing autonomous software entities by treating every agent as a first-class citizen with a unique, auditable identity. This identity-first approach allows security, product, engineering, and compliance teams to align around a single source of truth. By automating permissions through policy-as-code and integrating seamlessly into CI/CD pipelines, Prefactor enables teams to govern at scale without sacrificing speed. With its emphasis on real-time visibility, business-context audit trails, and SOC 2-ready, interoperable security (OAuth/OIDC), Prefactor transforms agent management from a fragmented, manual burden into a streamlined, trustworthy foundation for innovation.

Real-Time Agent Monitoring & Dashboard

Gain complete operational visibility across your entire agent infrastructure from a unified dashboard. Track every active agent in real-time, monitor what tools and data they are accessing, and identify emerging issues or failures before they escalate into major incidents. This feature provides the actionable insights needed for reliable production operations, moving teams from flying blind to being fully informed.

Compliance-Ready Audit Trails

Move beyond cryptic API logs. Prefactor translates every agent action into clear, business-context audit trails that stakeholders and compliance officers can understand. When asked "what did the agent do?", you can provide definitive, audit-ready answers and generate comprehensive reports in minutes, not weeks, ensuring your deployments can withstand rigorous regulatory scrutiny.

Identity-First Access Control

Apply proven human identity governance principles to your AI agents. Every agent receives a unique, first-class identity. Every action is authenticated, and every permission is explicitly scoped via policy-as-code. This enables dynamic client registration, delegated access, and fine-grained control, ensuring agents only access the resources they are authorized to use.

Emergency Kill Switches & Cost Tracking

Maintain ultimate control with the ability to instantly deactivate any agent in case of unexpected behavior or security concerns. Coupled with detailed cost tracking across compute providers, this feature allows organizations to not only manage risk but also identify expensive operational patterns and optimize agent spending for greater efficiency and cost predictability.

Scaling AI Agents in Regulated Finance

A Fortune 500 financial institution can move from isolated agent pilots to governed production deployments. Prefactor provides the auditable identity, real-time monitoring, and compliance-ready reporting required to satisfy internal security and external regulators, turning a governance blocker into a competitive advantage.

Managing Multi-Agent Workflows in Healthcare

A healthcare technology company can safely deploy autonomous agents that handle sensitive patient data. By enforcing strict, auditable access controls and providing clear audit trails for every action, Prefactor ensures compliance with HIPAA and other regulations while enabling innovative AI-assisted workflows.

Governing Autonomous Operations in Critical Infrastructure

A mining or energy company can implement AI agents for operational optimization. Prefactor's robust control plane, built for high-stakes environments, offers the emergency kill switches and unwavering auditability needed to deploy autonomous systems where failure is not an option, ensuring safety and accountability.

Unifying Visibility Across AI Frameworks

A product engineering team using a mix of LangChain, CrewAI, and custom agent frameworks can centralize management. Prefactor's framework-agnostic integration brings all agents under one dashboard, eliminating siloed visibility and providing consistent governance, monitoring, and cost tracking regardless of the underlying technology.

What is an AI Agent Control Plane?

An AI Agent Control Plane is a dedicated governance layer that manages the security, operations, and compliance of autonomous AI agents. Think of it like an identity and access management (IAM) system or a Kubernetes control plane, but specifically designed for AI agents. It provides centralized oversight for identity, permissions, monitoring, and auditing.

How does Prefactor handle agent identity?

Prefactor assigns a first-class, unique identity to every AI agent, similar to how employees get user accounts. This identity is used to authenticate every action the agent takes. Access permissions for these identities are managed through policy-as-code, allowing for automated, scalable, and auditable governance directly within your development pipelines.

Is Prefactor built for specific AI frameworks?

No, Prefactor is designed to be framework-agnostic. It offers integrations and SDKs that work with popular frameworks like LangChain, CrewAI, and AutoGen, as well as custom agent builds. This allows you to govern your entire fleet of agents from a single platform, regardless of how they were developed.

What makes Prefactor suitable for regulated industries?

Prefactor is built from the ground up for regulated environments. It provides SOC 2-ready security foundations, interoperable OAuth/OIDC standards, and—critically—audit trails that translate technical events into clear business language for compliance teams. This design ensures deployments meet stringent security and auditability requirements.