Prefactor

About Prefactor

Alright, let's break it down. You know how AI agents are the new hotness, crushing demos and looking super smart? But the second you try to actually, you know, use them for real work in a real company, everything falls apart. Your security team is having a panic attack, compliance is asking for audit logs you can't produce, and you're basically flying blind. That's the massive gap Prefactor fills. Think of it as the ultimate control plane and bouncer for your AI agents. It gives every single agent its own first-class, auditable identity (no more sketchy anonymous API calls). You get to see everything they're doing in real-time, control who gets access to what with crazy granularity, and generate compliance-ready reports without wanting to pull your hair out. Built for teams in regulated industries like finance and healthcare where "move fast and break things" is a surefire way to get fired, Prefactor turns your chaotic agent sprawl from a scary POC into a governed, production-ready system. It's the missing layer of trust that lets engineering, product, and security all sleep at night while your agents actually get work done.

Features of Prefactor

Real-Time Agent Monitoring Dashboard

This is your mission control. No more guessing games about what your AI workforce is up to. The dashboard shows you every active agent, what tools or data they're currently accessing, and where errors are popping off—all in real time. It's like having a live GPS tracker on every agent, so you can spot issues before they blow up into full-scale incidents. Total visibility, zero blind spots.

Business-Speak Audit Trails

Forget sifting through a mountain of cryptic JSON and API logs that make no sense to anyone outside engineering. Prefactor's audit logs translate all that agent activity into plain English (or whatever language your stakeholders speak). When compliance asks "what did that agent do with our customer data?", you can actually give them a clear, straightforward answer. It turns technical events into a story everyone can understand.

Identity-First Access Control

This is the core magic. Every agent gets a proper, verifiable identity, just like a human employee. Then, you can set up super fine-grained rules about what each identity is allowed to do using policy-as-code. Want Agent A to only read from Database X but never write? Done. It brings the proven principles of human identity governance (like OAuth/OIDC) to the wild west of AI agents.

Emergency Kill Switches & Cost Tracking

When an agent goes rogue or starts racking up insane compute bills, you need to act fast. Prefactor gives you instant kill switches to shut down any agent activity immediately. Plus, it tracks your spending across different AI providers, so you can see which agents or workflows are burning cash and optimize them before your CFO comes knocking.

Use Cases of Prefactor

Scaling AI Agents in Regulated Finance

Banks and fintechs love AI's potential but hate its compliance risk. Prefactor lets them deploy agents for tasks like fraud detection or customer support with built-in, audit-ready governance. They can prove exactly what every agent did, meet strict regulatory requirements, and move from a risky pilot to a fully approved production system without the usual year-long security review.

Managing Multi-Agent Workflows in Healthcare

Healthcare companies use agents to process patient data, schedule appointments, or manage records. Prefactor ensures these agents operate within strict HIPAA-like boundaries. It provides the immutable audit trail needed to prove data wasn't misused and allows for human-delegated oversight, so a doctor can approve an agent's action before it's finalized.

Gaining Operational Control in Large Enterprises

When a big company has dozens of teams each building their own AI agents, chaos ensues. Prefactor becomes the central source of truth. Platform teams can give product teams the tools to build safely, with guardrails in place. Everyone gets visibility, costs are controlled, and security has a single pane of glass to monitor all autonomous activity.

Accelerating Safe MCP Adoption

MCP (Model Context Protocol) is becoming the standard way for agents to access tools, but it lacks native security. Prefactor layers on the essential identity and policy controls for MCP servers. Teams can finally use MCP in production with confidence, knowing exactly which agent is asking for what data and having the ability to grant or deny access dynamically.

Frequently Asked Questions

What exactly is an "AI Agent Control Plane"?

Think of it like air traffic control, but for your AI software. Instead of planes, you've got autonomous AI agents buzzing around doing tasks. The control plane is the system that gives them identities, tells them where they can and can't go (access control), watches their every move (monitoring), and can ground them if they misbehave (kill switches). It's the essential infrastructure to manage them safely at scale.

How does Prefactor work with my existing agent frameworks?

Super easily. Prefactor is built to be framework-agnostic. It works seamlessly with popular tools like LangChain, CrewAI, and AutoGen, as well as any custom agents you've built. You can usually integrate it in hours, not months. It acts as a secure gateway, so your agents don't need a major rewrite—they just get smarter, safer identities.

We're not in a heavily regulated industry. Do we still need this?

If you're running more than a couple of agents and care about security, cost, or reliability, then absolutely. Even without a regulator breathing down your neck, you still need to know what your agents are doing, prevent them from accidentally deleting data or running up a $50k AWS bill, and have a way to shut them down fast. It's about operational maturity, not just compliance.

Is this just for huge enterprises?

Nope! While it's built to handle enterprise-scale and complexity, any team moving from "cool demo" to "actual product" hits these governance walls. Prefactor helps small but serious engineering teams skip the pain of building this security and visibility plumbing themselves, so they can focus on their core agent logic and ship faster.