Identity, access control, and visibility — across internal tools, customer-facing products, and shadow AI.
Give employees powerful AI agents — without exposing sensitive systems or data.
AI agents are already embedded in your workforce. Employees use them to draft emails, query databases, update CRMs, and automate workflows. But most organizations have no governance layer for these agents.
Employees are spinning up agents connected to Slack, Gmail, CRM, and internal databases — often without IT approval
Permissions are unclear, frequently over-scoped, and rarely reviewed after initial setup
No audit trail exists of what agents are actually doing, what data they access, or what actions they take
Agents share credentials across users, making it impossible to attribute actions to individuals
Sensitive data like customer PII, financial records, and IP flows through agent pipelines with no controls
Without proper controls, internal agents become the largest unmonitored attack surface in your organization.
Agents accessing and exfiltrating sensitive data they were never intended to see — customer PII, financial models, strategic plans
Actions taken by agents can't be traced back to the employee who initiated them, creating accountability gaps
Security teams have zero visibility into agent behavior — no logs, no alerts, no way to detect anomalies
Auditors ask "who accessed this data?" and you can't answer because the agent acted autonomously
Fabriq gives every internal agent a verifiable identity, enforces least-privilege access, and logs every action — so your teams can move fast without creating risk.
Agent-to-Employee Identity Binding
Every agent is tied to the employee who deploys it. Actions are always attributable, and permissions inherit from the employee's role and clearance.
Fine-Grained Access Controls
Define exactly which tools, APIs, and data sources each agent can access. Set time-based, context-aware policies that adapt to the task at hand.
Complete Audit Trail
Every agent action is logged with full context — who triggered it, what data was accessed, what tools were called, and what the outcome was.
Policy Enforcement Engine
Define organization-wide policies for agent behavior. Automatically block actions that violate security rules before they execute.
Drop-In Integration
Works with your existing identity providers (Okta, Azure AD, Google Workspace) and agent frameworks. No infrastructure redesign required.
CISOs & Security Teams
Gain visibility and control over every AI agent operating in your environment
IT & Infrastructure
Manage agent provisioning, access, and lifecycle alongside your existing identity stack
Engineering Teams
Build and deploy agents confidently, knowing security is handled at the platform level
"A sales team deploys an AI agent that drafts follow-up emails using Slack conversations and CRM data."
The agent is registered in Fabriq and tied to the sales rep's identity
Access policies allow reading from the rep's own CRM accounts and Slack channels — nothing else
The agent drafts emails but cannot send without human approval (policy-enforced)
Every CRM query, Slack message read, and email draft is logged and auditable
If the rep leaves the company, the agent's access is automatically revoked
"Treat every agent like an employee — with identity, permissions, and accountability."
One platform for agent identity, access control, and visibility — across internal tools, customer-facing products, and shadow AI.
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