Prefactor

About Prefactor

Prefactor is the essential control plane for AI agents, built to help engineering and product teams scale from experimental pilots to secure, governed production deployments. It solves the critical infrastructure gap that emerges when AI agents move beyond demos: the lack of visibility, control, and auditability. In regulated industries like finance, healthcare, and mining, where "move fast and break things" is not an option, Prefactor provides the enterprise-grade governance layer that security, engineering, and compliance teams can align around. Its core value proposition is turning the complex challenge of agent authentication and authorization into a single, elegant layer of trust. By giving every AI agent a first-class, auditable identity with dynamic registration and fine-grained access controls, Prefactor enables companies to maintain full visibility over every agent action, automate permissions via policy-as-code in CI/CD pipelines, and generate business-context audit trails that satisfy strict regulatory scrutiny. It is built for scalability and compliance from the ground up, offering SOC 2-ready security, human-delegated control, and interoperable OAuth/OIDC support, allowing teams to focus on building innovative agents rather than rebuilding foundational security infrastructure.

Features of Prefactor

Real-Time Agent Monitoring & Dashboard

Gain complete operational visibility across your entire agent infrastructure from a single dashboard. Track every AI agent in real-time to see which are active, what tools and data they are accessing, and where failures or anomalies emerge—allowing you to proactively address issues before they cascade into major incidents. This central nervous system provides the shared visibility that product, engineering, and security teams need to govern effectively.

Compliance-Ready Audit Trails

Move beyond cryptic API logs to business-intelligent audit trails. Prefactor translates every agent action into clear, stakeholder-friendly language that answers the critical question: "What did the agent do and why?" This enables you to generate audit-ready reports for compliance teams in minutes, not weeks, with logs designed to withstand the scrutiny of regulators in banking, healthcare, and other high-stakes industries.

Identity-First Access Control

Apply proven human identity governance principles to your AI workforce. With Prefactor, every agent gets a unique, first-class identity. Manage access through fine-grained role and attribute-based controls, implement policy-as-code for automation, and maintain delegated human oversight. Features like emergency kill switches ensure you always retain ultimate control over autonomous actions.

Enterprise Integration & Cost Tracking

Designed for the real-world tech stack, Prefactor integrates seamlessly with popular agent frameworks like LangChain, CrewAI, and AutoGen, allowing deployment in hours, not months. It also provides cost-tracking capabilities across compute providers, helping you identify expensive agent behavior patterns and optimize spending as you scale your deployments efficiently.

Use Cases of Prefactor

Scaling AI Pilots in Regulated Enterprises

For Fortune 500 companies in finance or healthcare running multiple AI agent proofs-of-concept, Prefactor provides the governance framework to get approval for production deployment. It solves the compliance team's auditability concerns by delivering clear audit trails and demonstrable controls, turning experimental pilots into governed, scalable solutions.

Centralizing Governance for Multi-Agent Systems

Platform teams managing a sprawling ecosystem of different AI agents—from customer support bots to internal data analyzers—use Prefactor as a single source of truth. It centralizes monitoring, access policy management, and auditing across all agents, regardless of their underlying framework, eliminating siloed and inconsistent security practices.

Implementing Secure MCP (Model Context Protocol) in Production

As MCP becomes the standard for agents to access tools and data, production teams need to secure these connections. Prefactor provides the essential control plane for MCP in production, offering real-time visibility into agent-tool interactions and ensuring every connection is authenticated and authorized, moving teams from "flying blind" to fully governed.

Accelerating Compliance & Audit Reporting

For companies facing regular internal or external audits, manually piecing together agent activity logs is a nightmare. Prefactor automates this by generating pre-formatted, business-context audit reports that clearly explain agent behavior, dramatically reducing the time and resource drain of compliance cycles and accelerating audit readiness.

Frequently Asked Questions

What is an AI Agent Control Plane?

An AI Agent Control Plane is a centralized governance layer that provides the essential infrastructure for managing autonomous AI agents in production. Think of it like the control panel for your AI workforce. It handles the non-negotiable requirements for scale: giving each agent a secure identity, enforcing who can do what (access control), monitoring all activity in real-time, and maintaining detailed audit trails for security and compliance, all from a unified dashboard.

How does Prefactor handle agent authentication and authorization?

Prefactor treats each AI agent as a first-class identity, similar to a human user in a corporate directory. It uses dynamic client registration and supports industry-standard protocols like OAuth 2.0 and OIDC for secure authentication. For authorization, it provides fine-grained, policy-as-code controls that allow you to define precise permissions (e.g., "Agent X can read from Database Y but never delete"). These policies can be automated within your CI/CD pipeline, ensuring permissions are managed consistently at scale.

Is Prefactor only for large, regulated enterprises?

While Prefactor is engineered to meet the stringent demands of large, regulated industries like banking and healthcare, its core value is for any product or engineering team moving multiple AI agents from prototype to production. Any team that needs shared visibility, operational control, and reliable audit trails to build trust in their AI deployments will benefit from a dedicated control plane, making it essential for scalable AI operations.

Can I integrate Prefactor with my existing agent framework?

Yes. Prefactor is built to be framework-agnostic and integrates with popular AI agent development platforms such as LangChain, CrewAI, and AutoGen. It also provides APIs for custom integrations. The platform is designed for deployment in hours, not months, allowing you to add governance to your existing agent infrastructure without a costly and time-consuming rebuild.