AI Visibility and Control for Security Teams
Maintain visibility, operational boundaries, and runtime control as AI agents spread across your organization.
The Challenge: AI Is Moving Faster Than Traditional Security Models
AI agents are rapidly gaining access to systems, workflows, data, and operational tooling — often outside traditional visibility and review processes.
Visibility Breaks Down
Security teams often lack a centralized view of what AI agents exist, what systems they can access, and what actions they can perform across the organization.
Sensitive Data Exposure
AI systems connected to internal tooling, customer data, communication platforms, and operational workflows can unintentionally expose sensitive information or perform unsafe actions without proper safeguards.
Operational Risk Emerges Quietly
Permissions, integrations, and workflow access often expand incrementally over time. Individually harmless changes can combine into significant operational and security risk.
Traditional Security Controls Miss AI Runtime Activity
Existing monitoring and security tooling were not designed to understand AI runtime behavior, cross-system workflows, or autonomous operational actions.
How Prefactor Helps Security Teams Stay in Control
Prefactor provides runtime visibility, operational boundaries, and intervention across AI systems as adoption scales.
Agent Inventory
Maintain a centralized view of active AI agents, connected systems, ownership, frameworks, and operational scope across the organization.
- Agent registration
- Ownership and lifecycle visibility
- Connected system tracking
- Deployment and operational status
Runtime Boundaries
Enforce operational policies directly at runtime. Restrict unsafe actions, block risky access, escalate approvals, and maintain control without changing application logic.
- Real-time enforcement
- Access restrictions
- Action blocking and throttling
- Approval and escalation workflows
Sensitive Data Detection
Detect and respond to sensitive data exposure across AI systems in real time.
- PII and sensitive data detection
- Real-time classification
- Configurable protection rules
- Automated escalation workflows
Runtime Activity History
Every runtime action, access attempt, escalation, and policy decision is logged and queryable.
- Immutable activity records
- Full-text search
- Operational investigation support
- Incident and audit workflows
Operational Drift Detection Coming Soon
Detect changes in access patterns, integrations, and runtime activity before they become operational incidents.
- Drift monitoring
- Risk pattern detection
- Threshold-based alerts
- Automated response workflows
Runtime Risk Scoring Coming Soon
Aggregate runtime activity, permissions, integrations, policy violations, and sensitive data exposure into a unified operational risk signal.
- Multi-factor scoring
- Configurable thresholds
- Trend-based alerts
- Automated safeguards
Built for Security Across Enterprise AI
Prefactor supports operational visibility and runtime control across:
Internal AI copilots
Customer support agents
Workflow automations
AI-enabled operational tooling
MCP-connected systems
Vendor and third-party AI agents
Cross-system AI workflows
Operational Visibility Across Every Framework
Track AI agents across every framework, workflow, and connected system from a single operational layer.
Frequently Asked Questions
How does Prefactor help CISOs govern shadow AI?
Can Prefactor detect and block sensitive data in agent outputs?
Does Prefactor provide audit trails for compliance reviews?
How does Prefactor enforce security policies on AI agents?
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Ready to scale AI without losing control?
See how Prefactor provides visibility, runtime boundaries, and intervention across enterprise AI systems.
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