Anugal Co-Pilot
AI-assisted identity decisions, executed with governance
Turn natural language intent into governed identity actions without bypassing control
AI Assistance within a controlled Identity Framework
Anugal Co-Pilot is the AI interaction layer of the Anugal platform. It enables users, managers, and approvers to engage with identity governance through guided, conversational interactions while every action continues to flow through Anugal’s core policy, risk, and orchestration engines.
Co-Pilot simplifies how identity decisions are initiated, understood, and approved, without creating a parallel control plane. AI assists interaction and context, not authority.
A Glance on What Co-Pilot Does
- Identity as a core security control plane
- Preventive access risk management aligned to Zero Trust principles
- Continuous regulatory and audit assurance
- Cross-system governance orchestration across SAP, SaaS, cloud, and legacy environments
- Sustainable least-privilege enforcement at enterprise scale
Key Capabilities
Guided Access Requests
Users express intent in natural language. Co-Pilot maps it to governed roles and access packages, limiting choices to what the identity is allowed to request.
Contextual Approval Assistance
Approvers see what access enables, existing access context, and relevant risk indicators directly within the interaction.
On-Demand Risk & SoD Insight
Risk and segregation checks can be triggered mid-conversation, with summarized results presented for decision support.
Access Awareness & Tracking
Users can query current access, request status, and approval progress without navigating portals or raising tickets.
How Co-Pilot Operates
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Intent Recognition
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Identity & Policy Context Resolution
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Risk-Aware Decision Framing
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Governed Workflow Orchestration
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Durable Governance Record
- Interprets conversational input across access requests, approvals, certifications, and status queries
- Maps intent to structured governance actions (request, review, revoke, extend, simulate)
- Validates identity session context before proceeding
- Restricts commands to authorized action types based on user role

Eligibility, role, risk, and SoD evaluated.
- Resolves user identity attributes, department, role hierarchy, and employment status
- Determines request eligibility against access policies and entitlement rules
- Evaluates SoD conflicts and privilege thresholds before options are displayed
- Applies system sensitivity and data classification context
- Filters out ineligible or non-compliant access paths automatically

- Translates technical entitlements into business-readable access descriptions
- Flags sensitive, privileged, or high-risk access categories
- Displays relevant SoD or policy exposure indicators
- Surfaces time-bound or purpose-bound access alternatives
- Enforces justification prompts for elevated or exception-based access

- Routes decisions to appropriate business, application, or entitlement owners
- Executes real-time policy validation prior to approval finalization
- Initiates provisioning through controlled orchestration across connected systems
- Applies sequencing logic to ensure dependent controls execute in order
- Prevents direct execution outside approved governance workflows

- Records who initiated, reviewed, and approved each action
- Captures policy evaluation results and SoD checks at decision time
- Preserves timestamps, system targets, and execution outcomes
- Maintains append-only audit trails aligned to compliance standards
- Ensures conversational interactions remain fully traceable

Where Co-Pilot Is Used
End users requesting business access
Managers reviewing sensitive approvals
IAM teams managing access escalations
Approvers handling privileged exceptions
Business owners validating sensitive access
Auditors reviewing decision evidence trails
How Co-Pilot Maintains Governance Discipline
Anugal Co-Pilot enhances interaction and decision clarity while preserving full governance control. It assists users and approvers without changing how authority, policy enforcement, or execution are handled.
All approvals remain explicitly human-driven, with AI providing context and recommendations but never replacing accountable decision-makers.
Access is provisioned only through governed, policy-enforced workflows, ensuring execution follows approved authorization paths.
Policy rules, segregation controls, and authorization boundaries are consistently enforced at every stage of the decision lifecycle.
