Prefactor

About Prefactor

Prefactor is the essential control plane for AI agents, designed to help organizations transition their AI initiatives from experimental proofs-of-concept to governed, scalable production deployments. It solves the critical governance gap that emerges when AI agents move beyond demos into real-world applications, especially within regulated industries like finance, healthcare, and mining. The platform provides a unified source of truth for every AI agent, granting them a first-class, auditable identity. This foundational shift allows product, engineering, security, and compliance teams to align around shared visibility and control. By managing access through policy-as-code, automating permissions in CI/CD pipelines, and maintaining full audit trails of every agent action, Prefactor turns the complex challenge of agent authentication and governance into a single, elegant layer of trust. Built with scalability and compliance as first principles, it delivers SOC 2-ready security, human-delegated controls, and interoperable OAuth/OIDC support, empowering SaaS companies and enterprises to deploy AI agents with confidence.

Features of Prefactor

Real-Time Agent Monitoring

Gain complete operational visibility across your entire agent infrastructure. Track every AI agent in real-time from a centralized dashboard, seeing which agents are active, what tools and data they are accessing, and where performance issues or failures emerge. This proactive monitoring allows teams to identify and address problems before they cascade into major incidents, ensuring reliable agent operations.

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 and compliance officers can understand. This enables you to generate audit-ready reports in minutes, providing definitive answers to questions about what an agent did and why, which is crucial for meeting regulatory scrutiny in demanding industries.

Identity-First Access Control

Apply proven human identity governance principles to your AI workforce. With Prefactor, every agent receives a unique, first-class identity. Access is authenticated for every action, and permissions are finely scoped using dynamic client registration and attribute-based controls. This allows for secure, delegated access management through policy-as-code, integrating seamlessly into modern development pipelines.

Emergency Kill Switches & Cost Tracking

Maintain ultimate human-in-the-loop control with emergency kill switches to instantly deactivate agents if needed. Additionally, track and optimize compute costs across different AI providers from within the Prefactor platform. Identify expensive agent behavior patterns and optimize spending without sacrificing performance or security, providing both financial and operational control.

Use Cases of Prefactor

Scaling AI Pilots to Regulated Production

For enterprises running multiple AI agent pilots, Prefactor provides the governance framework needed to gain internal approval for production deployment. It directly addresses compliance concerns by delivering the audit trails, visibility, and control required in regulated sectors like financial services and healthcare, turning experimental agents into approved, production-grade assets.

Centralized Governance for Multi-Framework Agent Fleets

Teams using a mix of AI agent frameworks (like LangChain, CrewAI, or AutoGen) can use Prefactor as a unified control plane. It integrates across different frameworks to provide consistent identity management, monitoring, and policy enforcement, eliminating the need to rebuild governance from scratch for each tool and accelerating time-to-market.

Demonstrating Compliance and Audit Readiness

When internal audit or external regulators request evidence of AI agent activity, Prefactor enables rapid, clear reporting. Product and engineering teams can generate comprehensible reports that detail agent actions in business terms, satisfying compliance requirements efficiently and avoiding lengthy manual log investigation processes.

Optimizing Agent Operations and Cost Management

Platform and engineering leads can use Prefactor's real-time dashboard and cost tracking features to ensure operational health and financial efficiency. By monitoring agent activity and associated costs across providers, teams can identify underutilized resources, optimize expensive workflows, and ensure reliable performance while controlling cloud spend.

Frequently Asked Questions

What is an AI Agent Control Plane?

An AI Agent Control Plane is a centralized governance layer that manages the identity, security, monitoring, and compliance of autonomous AI agents. Think of it like IAM (Identity and Access Management) and observability tools built specifically for non-human AI workers. Prefactor acts as this control plane, providing the infrastructure to securely deploy, monitor, and audit agents at scale.

How does Prefactor handle agent authentication?

Prefactor gives each AI agent a unique, first-class identity, moving beyond basic M2M (machine-to-machine) tokens. It supports industry-standard protocols like OAuth 2.0 and OIDC for secure, delegated access. Through dynamic client registration and fine-grained role/attribute controls, it ensures every agent action is properly authenticated and scoped to least-privilege permissions.

Is Prefactor built for regulated industries?

Yes, Prefactor is specifically designed for environments where compliance and auditability are non-negotiable, such as banking, healthcare, and mining. It delivers SOC 2-ready security foundations, creates business-readable audit trails that withstand regulatory scrutiny, and provides the human oversight controls (like kill switches) that compliance teams require.

Can I integrate Prefactor with my existing AI agent frameworks?

Absolutely. Prefactor is built to be integration-ready with popular AI agent frameworks including LangChain, CrewAI, and AutoGen, as well as custom-built agents. The platform is designed for interoperability, allowing teams to deploy and start governing their existing agents in hours, not months, without a full rebuild.