Prefactor: AI Agent Runtime Control Plane
Prefactor helps enterprise teams and AI governance leads manage AI agents in production. It is designed for organizations that need to enforce runtime boundaries and maintain compliance logs.
At a glance
- Category
- Software Development
- Best for
- CISOs, AI Governance teams, ML Engineering leads, Risk Management professionals, Regulated enterprises
- Pricing
- Paid plans start at $160 per month per use case, with examples provided ranging from $160 to $330 monthly.
- Key use cases
- Multi-Agent Governance, Compliance Reporting, Preventing Shadow Agents, Sensitive Data Protection
- Integrations
- OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral
- Official website
- prefactor.ai
Prefactor is a governance platform providing a control plane for AI agents. It operates at the runtime layer, allowing teams to monitor agent activity in real time and apply boundaries to agent behavior.
The tool is designed for CISOs, ML engineers, and risk management teams in regulated sectors such as financial services, healthcare, and insurance. It helps move agents from proof-of-concept to production by providing security and audit documentation.
Capabilities include tracking agent activity, detecting PII, and managing costs per agent. As a framework-agnostic tool, it supports agents built on various stacks, including LangChain and OpenAI.
Buyers should confirm specific compliance needs; the platform is designed to support GDPR and HIPAA, while SOC 2 Type II certification is noted as being in progress for 2026.
Key Features
Supports the ability to block, throttle, sandbox, or escalate agent actions in real time.
A centralized hub to register agents and track ownership, versioning, and deployment status.
Classification of sensitive data across agent flows to help prevent data leaks.
Cryptographically signed records of agent actions for compliance and audit purposes.
Attributes token spend and API calls to individual agents to monitor efficiency.
Routes high-risk actions to human approvers when specified thresholds are crossed.
Use Cases
Monitoring and controlling agents across different frameworks from a single dashboard.
Using immutable logs to provide evidence of agent behavior for regulatory audits.
Identifying and registering undocumented AI agents running across departments.
Using PII detection to flag or block the movement of personal information through agent workflows.
Best For
Integrations
Pricing
Paid plans start at $160 per month per use case, with examples provided ranging from $160 to $330 monthly.
FAQ
It serves as a governance layer that tracks which agents are running, monitors their performance, and enforces boundaries to help ensure they operate within approved scopes.
Yes, it is framework-agnostic and integrates with tools like LangChain, CrewAI, AutoGen, and various LLM providers via SDK or CLI.
The platform is designed to support HIPAA and GDPR, and it is currently working toward SOC 2 Type II certification for 2026.
Pricing is based on use cases, with starting prices around $160 per month per use case.
Source category: Software Development
Source subcategory: AI Agent Platform
