AI Agents Built for IAM Workflows
The explosion of identities has made identity security feel out of reach, but it doesn’t have to be. Fabrix equips IAM teams with AI Agents that can reason across the identity fabric, adding intelligence and speed into every identity and access management workflow.
It’s your identity program, adapted for modern scale.
Say Goodbye to Your Biggest IAM Headaches
User Access Review
Reduction in time required to complete access reviews
Access Request
Reduction in escalated IT tickets related to access requests
Proactive Least Privilege
Reduction in permissions across Cloud, SaaS, and On-Premises
Built on AI from the ground up
Fabrix makes AI operational for IAM, by design.
Built to produce and consume AI outputs, it delivers and executes decisions
that are explainable, policy-driven and supported by data.
Fine-tuned and trained for identity security, Fabrix goes far beyond what legacy platforms can offer.
AI Agent for User Access Reviews
Fabrix Auditor streamlines and enriches access reviews with full intelligence, so decisions are faster, more accurate, and fully auditable.
- Gathers identity, permissions and usage data to highlight unnecessary access.
- Generates clear, explainable recommendations based on role description, usage pattern, peer comparison and more.
- Executes access decisions, driven by company policies and as part of existing IAM workflows
AI Agent for Access Requests
Fabrix Keeper controls the gates, granting access swiftly to allies and blocking adversaries with zero hesitation.
- Assesses each request against context, policy, and historical patterns.
- Instantly approves safe, routine requests to keep business moving.
- Grants temporary, time-bound access to ensure Just-In-Time and Just-enough access
AI Agent for Lifecycle Management
Fabrix Operator runs every identity mission from onboarding to offboarding and everything in-between with flawless execution.
- Validates that joiner, mover, and leaver events meet policy requirements, have proper sign-offs, and avoid risky or conflicting entitlements.
- Provisions or adjusts access precisely to match evolving roles and responsibilities.
- Maintains a complete, transparent audit trail for every lifecycle change to ensure compliance.
AI Agent for Least Privilege Enforcement
Fabrix Fixer adjusts excessive privileges before they become threats, keeping identities lean and secure and the business running.
- Continuously tracks and analyzes access for privilege creep.
- Applies just-enough, just-in-time access, removing and scaling back permissions as soon as they’re unnecessary.
- Based on custom policies, defined by the organization in natural language.
Your Always-On IAM Buddy
Ask any question in plain language and get instant answers powered by real-time identity insights.
Use the Fabrix Copilot to control access across the identity fabric – from onboarding and offboarding to enforcing least privilege at scale, across all environments
How Does It Work?
Collect data across all identities, human and non-human, and all apps including disconnected ones – using read-only, agentless connectors.
Form an AI-ready Identity Fabric including relevant attributes (identities, roles, groups, entitlements, activity logs etc.) to build an actionable graph.
AI agents continuously enforce your policies, integrating seamlessly with IAM workflows–with or without a human in the loop.
Deliver advanced reasoning for every action, driven by clear evidence, backed by concrete data and fully transparent to IAM teams.
Why Fabrix?
Built for Scale
Handles massive identity and permission sprawl effortlessly and consistently.
Fully Customizable
Tailor Fabrix’s out-of-the box AI agents to your policies, with natural language.
Deep AI Reasoning
Augments or replaces legacy tools with intelligent, auditable access decisions.
Your Questions, Answered
What are AI agents in IAM?
AI agents in Identity and Access Management (IAM) are intelligent AI components designed to perform identity-related tasks autonomously. They can plan, approve, execute, and resolve workflows like access reviews, provisioning, and deprovisioning. Unlike traditional automation scripts, AI agents understand context, adapt to changing conditions, and make decisions in real time—reducing manual work and human error.
How do AI agents improve traditional IAM workflows?
Traditional IAM processes are often manual, slow, and error-prone—especially at scale. AI agents streamline these workflows by continuously analyzing identity data, usage patterns, and policies to automate access decisions. This results in faster access approvals, more accurate access rights, and improved enforcement of least privilege—all without the need for static rules or constant human intervention.
Can AI agents replace existing IAM tools?
AI agents are designed to be flexible. They can integrate with your existing IAM tools to enhance their capabilities or operate as standalone components to run entire workflows. Organizations often start by deploying agents for a specific process (like user access reviews) and gradually expand their use. This modular approach allows for faster time-to-value without disrupting existing systems.
How do AI agents make decisions?
AI agents use reasoning engines that consider a wide range of inputs such as identity attributes, access history, behavioral signals, peer comparisons, and security policies. Based on this context, they generate recommendations or take actions, all while logging their decision-making process. With Fabrix, there’s always a human in the loop ensuring that security teams can oversee, validate, and fine-tune decisions. This transparency and oversight make it easy to understand and audit their decisions, helping build trust and meet compliance requirements.
Are AI agents secure and compliant?
Yes. AI agents are governed by your organization’s security policies and operate within defined trust boundaries. They maintain full audit trails of every decision, which supports accountability and compliance. With Fabrix, there’s always a human in the loop to provide oversight and validation, ensuring control never shifts entirely to automation. The Agents’ ability to adapt to real-time context actually enhances security by reducing unnecessary access, spotting anomalies, and enforcing least privilege more effectively than static rule-based systems.