Prefactor

About Prefactor

Prefactor is the essential control plane for AI agents, designed to help product, engineering, security, and compliance teams collaborate seamlessly to govern AI agents at scale. It solves the critical gap between successful agent proofs-of-concept and secure, compliant production deployments. For SaaS companies and regulated enterprises in industries like finance, healthcare, and mining, moving fast with AI often hits a wall when questions of security, visibility, and auditability arise. Prefactor provides a single, elegant layer of trust by giving every AI agent a first-class, auditable identity. This foundational shift allows teams to manage access through policy-as-code, automate permissions within CI/CD pipelines, and maintain full, real-time visibility over every agent action. By aligning all stakeholders around one source of truth, Prefactor transforms complex agent authentication and governance from a fragmented burden into a unified, scalable infrastructure, enabling organizations to deploy AI agents with confidence and control.

Features of Prefactor

Real-Time Agent Monitoring & Dashboard

Gain complete operational visibility across your entire agent infrastructure from a centralized dashboard. Monitor all agents in one place, seeing which are active or idle, what tools and data they are accessing in real-time, and where errors or failures emerge. This shared visibility allows engineering, security, and product teams to proactively identify issues before they cascade into incidents, fostering a collaborative approach to system health and reliability.

Compliance-Ready Audit Trails

Move beyond cryptic API logs to business-intelligible audit trails. Prefactor translates every agent action into clear, contextual records that stakeholders across compliance, legal, and leadership can understand. This feature enables teams to generate audit-ready reports in minutes, not weeks, providing clear answers to critical questions about what agents did and why, which is essential for operating in regulated environments.

Identity-First Access Control

Apply proven human identity governance principles to your AI workforce. With Prefactor, every agent receives a unique, auditable identity. Teams can collaboratively manage fine-grained permissions through dynamic client registration, delegated access, and policy-as-code, ensuring each agent only accesses the resources it needs. This interoperable system supports OAuth/OIDC, integrating smoothly with your existing security posture.

Emergency Kill Switches & Cost Tracking

Maintain ultimate human-delegated control with instant intervention capabilities. If an agent behaves unexpectedly, teams can immediately revoke its access or shut it down. Coupled with detailed cost tracking across compute providers, this feature empowers cross-functional teams to optimize spending, identify expensive patterns, and ensure operational efficiency without sacrificing safety or oversight.

Use Cases of Prefactor

Scaling AI Agents in Regulated Industries

For enterprises in banking, healthcare, or mining, compliance is non-negotiable. Prefactor enables these organizations to move from isolated AI agent pilots to full-scale production by providing the necessary audit trails, identity controls, and real-time monitoring that satisfy internal security and external regulatory requirements, aligning all teams on a compliant path forward.

Unifying Visibility for Product & Engineering Teams

When multiple teams are running concurrent agent pilots, visibility becomes fragmented. Prefactor serves as a single source of truth, giving product managers and engineers a shared dashboard to monitor agent activity, performance, and costs. This synergy prevents silos, accelerates troubleshooting, and ensures everyone is aligned on deployment status and health.

Streamlining Security and Compliance Reviews

Security and compliance teams often block agent deployments due to a lack of auditability. Prefactor addresses this directly by automating the generation of clear, business-context audit reports. This use case turns a weeks-long, manual review process into a collaborative, minutes-long conversation, speeding up time-to-production while maintaining rigorous oversight.

Governing Multi-Framework Agent Ecosystems

Companies using a mix of AI agent frameworks (like LangChain, CrewAI, or AutoGen) face inconsistent governance. Prefactor integrates across these frameworks, providing a unified layer for identity, access control, and monitoring. This allows platform teams to set company-wide policies and permissions, enabling individual engineering teams to innovate safely within guardrails.

Frequently Asked Questions

What is an AI Agent Control Plane?

An AI Agent Control Plane is a centralized management layer that provides governance, security, and observability for 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 handles agent identity, permissions, real-time monitoring, and audit trails, ensuring teams can deploy and manage agents at scale with confidence and collaboration.

How does Prefactor handle authentication for agents?

Prefactor moves beyond basic M2M (machine-to-machine) tokens by giving each AI agent a first-class, OAuth/OIDC-compliant identity. This enables dynamic client registration, delegated access controls, and fine-grained, auditable permissions managed as code. It integrates with your existing CI/CD pipeline to automate credential provisioning, creating a secure and interoperable authentication layer that all technical teams can manage together.

Is Prefactor built for large enterprises?

Yes, Prefactor is specifically engineered for the needs of regulated enterprises and scaling SaaS companies. It delivers SOC 2-ready security foundations, human-delegated controls like kill switches, and audit trails designed to withstand regulatory scrutiny. The platform helps align security, engineering, product, and compliance teams, making it ideal for organizations where governance and collaboration are critical to production deployment.

Can we integrate Prefactor with our existing agent frameworks?

Absolutely. Prefactor is designed for interoperability and works seamlessly with popular AI agent frameworks such as LangChain, CrewAI, and AutoGen, as well as custom-built agents. The integration is straightforward, allowing teams to deploy the control plane in hours, not months, and immediately apply consistent governance across their entire diverse agent ecosystem.