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THE IDENTITY KNOWLEDGE GRAPH

One Source of Truth for Identity and Access

Fabrix stitches every identity, permission, policy, asset, and activity into a living knowledge graph including the three foundational dimensions of every access decision – so you and your AI agents can reason about who can do what, where, and why in real time.

The Three Foundational Dimensions of Every Access Decision

Access

The Access Graph reveals who can access what and their exact permissions, spanning human identities, NHs and AI agents. This graph provides the structural foundation for reasoning about privileged accounts, least privilege access, segregation of duties, and risk exposure.

Activity

The Activity Graph captures what identities do across systems: logins, access patterns, and real usage data. Connecting activity signals with entitlements, Fabrix learns and adapts over time to distinguish between legitimate and unnecessary access, identify dormant permissions, and surface anomalies.

Organizational Context

The Organization Context Graph includes reporting lines, teams, job functions, and business roles, as well as the connections between human identities and NHIs. It anchors access reasoning in a real business context, enabling our AI agents to understand relationships between peers, compare their access and assess potential risk.

Know Exactly Who Can Do What and What It Means

The Fabrix Knowledge Graph gives you instant answers to questions that used to take weeks of manual analysis across multiple fragmented systems:

  • Who can delete data in a given system?
  • Which identities can approve high-risk actions?
  • What’s the blast radius if this account is compromised?

With a single query, you see the full chain of access and its impact, so you can prioritize real risk and not just long lists of entitlements.

Approve Access With Confidence, Not Guesswork

Because every access request and review is backed by graph context, Fabrix AI agents can:

  • Auto-approve low-risk, well-justified requests with transparent reasoning.
  • Flag edge cases with full context for the reviewer.
  • Deny non-compliant access with policy citations and historical comparisons.

This means fewer tickets, faster turnaround for the business, and stronger adherence to least privilege.

From Manual Audits to Continuous, Graph-Driven Governance

Instead of manual, spreadsheet-driven reviews, the Fabrix Knowledge Graph enables continuous oversight:

  • Identify toxic combinations and Segregation-of-Duties violations as they emerge.
  • Detect over-privileged or dormant access based on real activity.
  • Generate evidence for auditors directly from the graph; Clear, traceable, and always up to date.

Governance shifts from reactive cleanup to proactive, AI-assisted control.

Key Capabilities

Unifies Every Identity, Permission, and Resource


Fabrix lets you understand “who can do what” across your entire environment. It pulls data from every IAM, HR, SaaS, cloud, and data system and models it into one consistent, normalized graph. Identities, roles, groups, permissions, resources, and actions are finally connected.

Adds Deep Context Merging Access, Activity & Business

The Fabrix Knowledge Graph goes beyond static entitlements by layering Access, Activity, and Org Graphs into one model. It understands how access is granted, how it’s actually used, and how it fits within the business – giving your team and AI agents the contextual intelligence needed to make accurate, consistent, real-world decisions.

Built for AI Agents and Explainable Decisions

Built for AI from day one, the Fabrix graph is optimized for fast querying, deep reasoning, and transparent explanations. Every access recommendation and decision can be traced back to the identities, policies, and behaviors that shaped it – enabling AI agents that don’t guess, but justify every decision with evidence.

Your Questions, Answered

An Identity Knowledge Graph is a structured model that connects identities, permissions, resources, activity, and organizational context into a single, continuously updated source of truth. Instead of viewing access as static entitlements, it captures how access is granted, used, and justified across the business.

Traditional IAM tools store identity data in disconnected tables and point-in-time snapshots. Fabrix models identity as a living graph, linking Access, Activity, and Organizational Context. This allows both humans and AI agents to reason about access relationships, risk, and intent in real time rather than relying on brittle rules or periodic reviews.

 

The Fabrix Knowledge Graph covers human users, non-human identities (NHIs), service accounts, workloads, and AI agents. All identity types are modeled consistently, enabling unified visibility and governance across modern, hybrid environments.

 
By connecting real usage data to entitlements, the Activity Graph shows not just what access exists, but what access is actually used. This helps distinguish necessary access from dormant or excessive permissions, detect anomalies, and continuously adapt decisions as behavior changes.

The Organizational Context Graph anchors access in business reality: teams, roles, reporting lines, and peer relationships. This allows Fabrix to compare access between similar roles, understand approval chains, and assess whether access makes sense given someone’s function in the organization.

Yes. Fabrix is AI-native by design. The graph is optimized for fast querying, deep reasoning, and explainable outcomes, so IAM teams and AI agents can justify every recommendation with clear evidencerather than opaque model outputs.