AI TOOL PROFILE
Prefactor: AI Agent Runtime Control Plane
- Software Development
- AI Agent Platform
- 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.
At a glance
- Best for
- CISOs, AI Governance teams, ML Engineering leads, Risk Management professionals, Regulated enterprises
- 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
- Visit Prefactor official website
How AI is used
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
Runtime Enforcement
Supports the ability to block, throttle, sandbox, or escalate agent actions in real time.
Agent Registry
A centralized hub to register agents and track ownership, versioning, and deployment status.
PII Detection
Classification of sensitive data across agent flows to help prevent data leaks.
Immutable Audit Logging
Cryptographically signed records of agent actions for compliance and audit purposes.
Cost Tracking
Attributes token spend and API calls to individual agents to monitor efficiency.
Approval Routing
Routes high-risk actions to human approvers when specified thresholds are crossed.
Use Cases
Multi-Agent Governance
Monitoring and controlling agents across different frameworks from a single dashboard.
Compliance Reporting
Using immutable logs to provide evidence of agent behavior for regulatory audits.
Preventing Shadow Agents
Identifying and registering undocumented AI agents running across departments.
Sensitive Data Protection
Using PII detection to flag or block the movement of personal information through agent workflows.
Integrations
- OpenAI
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Cohere
- AWS Bedrock
- LangChain
- CrewAI
- AutoGen
- Vercel AI SDK
- Semantic Kernel
- Haystack
- Datadog
- New Relic
- Grafana
- PagerDuty
- Okta
- Auth0
- Azure AD
- Google Workspace
- PostgreSQL
- MongoDB
- Snowflake
- BigQuery
- Amazon S3
FAQ
What does an AI agent control plane do?
- 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.
Does Prefactor support different AI frameworks?
- Yes, it is framework-agnostic and integrates with tools like LangChain, CrewAI, AutoGen, and various LLM providers via SDK or CLI.
Is Prefactor compliant with healthcare and privacy regulations?
- The platform is designed to support HIPAA and GDPR, and it is currently working toward SOC 2 Type II certification for 2026.
How is Prefactor's pricing structured?
- 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
More tools in Software Development
Other published listings in the Software Development category.
More tools in the AI Agent Platform software type
Related listings that share the same software type for comparison and shortlisting.
