Prefactor

About Prefactor

Let's cut to the chase: building AI agents is the easy part. Getting them approved for production in a real, regulated enterprise? That's the nightmare. Prefactor is the definitive solution to that nightmare. It's not just another tool; it's the essential control plane for AI agents, built specifically for companies that can't afford to "move fast and break things." If you're a product or engineering team running multiple agent pilots and hitting a wall with security and compliance, this is your missing layer. Prefactor gives every single AI agent a first-class, auditable identity, turning chaotic, opaque automations into governed, transparent assets. Its core value is elegant trust: it aligns security, product, engineering, and compliance around one source of truth, allowing you to govern at scale. By managing access through policy-as-code, automating permissions in CI/CD, and providing full visibility over every action, Prefactor transforms agent deployment from a risky experiment into a compliant, scalable operation. It's the infrastructure that lets you finally move from compelling POC to governed production.

Features of Prefactor

Identity-First Agent Control

This is the foundational genius of Prefactor. It treats agents not as anonymous scripts but as first-class citizens with their own identities. Every agent action is authenticated, and every permission is purposefully scoped using fine-grained role and attribute controls. This brings the mature governance principles we use for human access—like dynamic client registration and delegated access—directly to your AI workforce, creating a secure and manageable environment.

Real-Time Agent Monitoring & Dashboard

Stop flying blind. Prefactor's dashboard gives you complete operational visibility across your entire agent infrastructure in real-time. You can see which agents are active, idle, or failing, what tools and data they're accessing, and where issues are emerging—all before they cascade into major incidents. This is the single pane of glass that platform and engineering leads have been desperately needing to answer the question, "What is this agent doing right now?"

Business-Ready Audit Trails

Forget sifting through cryptic API logs. Prefactor’s audit system is built for stakeholders, not just engineers. It translates raw agent actions into clear, business-contextual logs. When compliance or security asks what an agent did and why, you can generate audit-ready reports in minutes, not weeks, with answers everyone understands. This feature alone removes the biggest compliance blocker for agent deployment in regulated industries.

Enterprise-Grade Security & Compliance

Prefactor is built from the ground up for environments where audit trails must withstand regulatory scrutiny. It delivers SOC 2–ready security out of the box, includes emergency kill switches for immediate control, and offers full interoperability with OAuth/OIDC standards. It’s designed for banking, healthcare, and mining—industries where robust governance isn't optional but a prerequisite for any production deployment.

Use Cases of Prefactor

Scaling AI Agents in Regulated Finance

A Fortune 500 financial services firm can perfect agents in demos but hits a wall with internal audit. Prefactor provides the immutable, business-translated audit trails and fine-grained access controls needed to prove agent behavior is compliant, secure, and within policy, finally unlocking production approval and moving beyond the pilot purgatory.

Unifying Governance Across Multiple Agent Frameworks

Engineering teams using a mix of LangChain, CrewAI, AutoGen, and custom frameworks create a fragmented, unmanageable security landscape. Prefactor integrates with all of them, providing a single control plane for identity, policy, and auditing. This consolidates governance, reduces risk, and eliminates the need to rebuild security from scratch for every new agent project.

Managing Cost and Performance of Agent Fleets

As agent deployments scale, compute costs can spiral unpredictably. Prefactor’s cost tracking and optimization features allow platform teams to monitor agent compute costs across providers, identify inefficient or expensive agent behavior patterns, and right-size resources, turning agent operations from a cost center into a managed, optimized investment.

Enabling Safe MCP Adoption in Production

With MCP becoming the default protocol for agent-tool communication, production teams lack visibility and control. Prefactor delivers the essential "MCP in Production" layer, providing real-time visibility into MCP server connections, auditing all context accesses, and ensuring that this powerful protocol doesn't become a security black box.

Frequently Asked Questions

How does Prefactor handle authentication for AI agents?

Prefactor moves beyond basic M2M tokens, which are insufficient for granular control. It provides dynamic client registration and delegated access, giving each agent a unique OAuth 2.0/OIDC-compliant identity. This allows for fine-grained, policy-driven permissions (policy-as-code) that can be automated within your CI/CD pipeline, ensuring every action is properly authenticated and scoped.

Is Prefactor only for large enterprises?

While its enterprise-grade security is built for regulated industries, Prefactor is crucial for any team serious about moving AI agents from prototype to production reliably. Startups planning to scale, SaaS companies handling customer data, or any product team needing to answer security and compliance questions will find immense value in establishing this control plane early.

What frameworks and tools does Prefactor integrate with?

Prefactor is designed for interoperability. It works seamlessly with popular agent frameworks like LangChain, CrewAI, and AutoGen, as well as custom-built agents. Its support for standard protocols like OAuth/OIDC and MCP ensures it can integrate into your existing infrastructure and toolchain without requiring a complete overhaul.

How does Prefactor improve visibility compared to custom logging?

Custom logging creates fragmented, technical data that's hard to translate. Prefactor provides a centralized control plane dashboard that offers real-time monitoring and business-context audit trails. It doesn't just show API calls; it explains agent actions in terms stakeholders understand, turning operational data into compliance-ready narratives.