AI Agent Governance for CISOs

Gain security visibility into AI agents, enforce compliance policies, and maintain immutable audit trails for governance and incident response.

The Challenge: Shadow AI Risk

CISOs face a new security frontier with uncontrolled AI agent deployments:

👻 Shadow AI Proliferation

Developers deploy AI agents without security oversight. You have no visibility into what agents exist, what data they access, or what they do. Each ungovernned agent is a potential compliance and security liability.

🔓 Data Exfiltration Risk

AI agents can leak sensitive data—credentials, PII, trade secrets—without traditional DLP controls. Standard network monitoring doesn't catch AI-driven data loss because agents process data in context.

📋 Audit & Compliance Gaps

When incidents happen, you cannot audit who did what with AI agents. Without immutable trails and comprehensive logging, proving regulatory compliance and responding to security incidents becomes nearly impossible.

How Prefactor Enables Security Governance

Prefactor brings enterprise security controls and visibility to AI agent infrastructure:

🔍 Agent Registry & Visibility

Build a comprehensive registry of AI agents with ownership, data access, and framework details. Gain visibility into your agent landscape and close security gaps.

🔐 PII & Sensitive Data Detection

Inline PII detection blocks credentials, API keys, social security numbers, email addresses, and other sensitive data from agent outputs in real-time. Prevents data exfiltration without performance overhead.

🛡 Runtime Policy Enforcement

Define security policies that execute immediately on agents. Block risky operations, throttle resource usage, sandbox agents, or escalate suspicious behavior—all without code changes or deployment delays.

📝 Immutable Audit Trails

Every agent interaction—inputs, outputs, policy decisions—is recorded in tamper-proof audit logs. Indexed by agent, timestamp, and user for rapid investigation and compliance proof.

Approval Routing & Governance

Implement approval workflows for high-risk agent actions. Security teams can review and approve agent deployments, policy changes, and sensitive operations before they execute in production.

Security & Compliance Frameworks

Prefactor helps align with frameworks and standards CISOs need to meet:

SOC 2 & Data Protection

Immutable audit trails and real-time monitoring enable SOC 2 compliance for AI agents. PII detection prevents data exfiltration and satisfies data protection requirements.

Incident Response & Forensics

When security incidents occur, immutable audit logs provide forensic evidence. Rapidly investigate what agents did, who triggered actions, and when—essential for breach response and post-incident analysis.

AI Risk Management

Build a systematic AI risk governance program. Prefactor's registry, policies, and audit trails provide the controls and visibility needed for enterprise AI risk management frameworks.

Supply Chain & Vendor Security

When third-party AI agents operate in your infrastructure, gain the same visibility and control as internal deployments. Audit logs prove vendor compliance and enable security assessments.

Frequently Asked Questions

How does Prefactor help CISOs govern shadow AI?

Prefactor builds a comprehensive registry of AI agents in your environment, giving security teams visibility into shadow AI deployments. Runtime policies and immutable audit trails ensure every agent interaction is logged and governed according to security standards.

Can Prefactor detect and block sensitive data in agent outputs?

Yes. Prefactor detects PII—names, emails, social security numbers, API keys, credentials—in agent outputs in real-time and blocks them from leaving your infrastructure. Prevents data exfiltration and ensures compliance with data protection policies.

Does Prefactor provide audit trails for compliance reviews?

Prefactor maintains immutable, tamper-proof audit trails of every agent interaction. Each entry is timestamped, indexed by agent and user, and exportable for compliance audits, incident investigations, and regulatory reviews.

How does Prefactor enforce security policies on AI agents?

Prefactor's runtime policy enforcement allows you to define security rules that are applied immediately—blocking agents from accessing certain data, throttling high-risk operations, or escalating suspicious behavior without code changes.

Visibility for Security Leaders

Real-time agent monitoring, risk scoring, and audit trails — built for security teams.

Agent Runtime Control Plane
Unified control center for agents, authentication, and risk management
All Systems Operational
3Global Agents
7Instances
5Services
12%Human Intervene
4High Risk
$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
Claims Proc...65
$160/moRed
Claims Proc...82
$170/moAmber
ChatGPT74
$150/moAmber

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