Prefactor

About Prefactor

Prefactor is the transformative control plane for AI agents, engineered to unlock the full potential of autonomous systems in production. It solves the critical governance gap that emerges when moving AI agents from promising prototypes to scalable, secure, and compliant deployments. While agents excel in demos, enterprises face immense hurdles in managing their identities, controlling their access, and auditing their actions. Prefactor elegantly bridges this chasm by providing a single, unified layer of trust. It gives every AI agent a first-class, auditable identity with dynamic registration, delegated access, and fine-grained controls. This platform is built for product, engineering, security, and compliance teams within regulated enterprises—such as banking, healthcare, and mining—where "move fast and break things" is not an option. By offering SOC 2–ready security, human-delegated control, and interoperable OAuth/OIDC support, Prefactor turns the complex challenge of agent authentication and governance into a strategic advantage, allowing companies to deploy with confidence and scale without limits.

Features of Prefactor

Identity-First Agent Control

Prefactor revolutionizes agent management by assigning every AI agent a unique, first-class identity. This foundational feature ensures that every single action an agent takes is authenticated and every permission is explicitly scoped. It brings the rigorous governance principles used for human access—like dynamic client registration and attribute-based controls—directly to your autonomous workforce, creating a secure and accountable environment from the ground up.

Real-Time Agent Monitoring & Dashboard

Gain complete operational visibility across your entire agent infrastructure with a centralized control plane dashboard. This feature allows you to monitor all agents in one place, seeing which are active, idle, or encountering issues in real-time. Track what resources they are accessing and identify emerging problems before they cascade into major incidents, transforming agent operations from a black box into a transparent, manageable system.

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 compliance officers and auditors can immediately understand. This feature automates the generation of audit-ready reports in minutes, providing undeniable proof of what each agent did and why, which is essential for meeting stringent regulatory requirements in industries like finance and healthcare.

Policy-as-Code & Automated Governance

Embed security and compliance directly into your development lifecycle. With policy-as-code, you can define and manage access controls through code, enabling automated permissioning within your CI/CD pipeline. This feature, combined with emergency kill switches for immediate agent intervention, ensures that governance scales seamlessly with your agent deployments, providing both proactive control and reactive safety measures.

Use Cases of Prefactor

Scaling AI Agents in Regulated Finance

A Fortune 500 financial services company can leverage Prefactor to move AI agent pilots into full production. By using Prefactor's identity controls and business-context audit trails, they can finally provide compliance teams with the clear, accountable records required for approval, unlocking new efficiencies in customer service, fraud detection, and automated analysis without compromising on security or regulatory mandates.

Ensuring Safety in Critical Infrastructure

For a mining technology company or industrial operator, deploying autonomous agents to monitor equipment or optimize logistics carries inherent risk. Prefactor provides the essential emergency kill switches and real-time visibility needed to ensure these agents operate safely within strict boundaries. Its audit trails demonstrate due diligence and operational control, making agent deployment viable in high-stakes physical environments.

Accelerating Product Development in SaaS

SaaS companies building AI-powered features can use Prefactor to govern multiple agent frameworks like LangChain, CrewAI, or AutoGen from a single pane of glass. Engineering teams can integrate Prefactor in hours to automate permissions and gain instant visibility, allowing them to focus on innovation rather than rebuilding foundational security and monitoring for every new agent prototype.

Managing Multi-Agent Ecosystems & Cost

Enterprises running numerous AI agents across different providers and teams often struggle with shadow IT and spiraling compute costs. Prefactor's centralized dashboard and cost-tracking features provide full visibility into the entire agent ecosystem. This allows platform leads to identify underutilized or expensive agents, optimize resource allocation, and maintain a governed, cost-effective portfolio of AI tools.

Frequently Asked Questions

What is an AI Agent Control Plane?

An AI Agent Control Plane is a centralized governance platform that provides the essential infrastructure for managing autonomous AI systems in production. Think of it as the operating system for your AI workforce. It handles critical functions that individual agents lack: secure identity, granular access control, real-time monitoring, and comprehensive audit trails. Prefactor's control plane is specifically designed to bring order, security, and compliance to scalable agent deployments.

How does Prefactor handle compliance for regulated industries?

Prefactor is engineered from the ground up for regulated environments. It delivers SOC 2–ready security frameworks and creates audit logs that translate technical agent actions into clear business language, which is mandatory for regulatory scrutiny. Features like policy-as-code ensure permissions are consistently enforced, while human-delegated controls and emergency kill switches provide the oversight required by auditors in sectors like banking, healthcare, and critical infrastructure.

Does Prefactor work with existing AI agent frameworks?

Yes, Prefactor is built for interoperability and is integration-ready. It works seamlessly with popular agent frameworks and orchestration tools such as LangChain, CrewAI, and AutoGen, as well as custom-built agent systems. Its support for standards like OAuth/OIDC and the Model Context Protocol (MCP) allows it to act as a unified governance layer across a diverse and evolving AI toolchain, enabling deployment in hours, not months.

What is the difference between Prefactor and using standard API keys or M2M tokens?

Standard Machine-to-Machine (M2M) tokens or API keys provide basic authentication but lack the granularity, auditability, and lifecycle management needed for production AI agents. They are often overly permissive and create opaque, hard-to-track access. Prefactor provides dynamic, identity-first control with fine-grained permissions per agent, real-time visibility into actions, and detailed audit trails. This transforms agent access from a static security risk into a fully managed, compliant, and observable system.