AI Governance

AI That Understands Your Access Data — Without Leaving Your Network

Deploy ATS AI on your infrastructure. Get role design assistance, SoD remediation plans, access recommendations, and license optimization — all grounded in live IGA data with human-in-the-loop approval.

See AI Copilots in Action →Download AI Governance Whitepaper

Why Self-Hosted AI for IGA?

Cloud AI risk: Production data sent to third-party AI APIs

ATS advantage: Data never leaves your network

Cloud AI risk: Generic recommendations without ERP context

ATS advantage: Grounded in live SAP/Oracle/Infor tenant data

Cloud AI risk: Auto-execution without governance guardrails

ATS advantage: Staged actions require explicit human approval

Cloud AI risk: Compliance teams cannot audit AI decisions

ATS advantage: Full prompt + context + approval audit trail

Cloud AI risk: Regulated industries block cloud AI

ATS advantage: On-prem ATS AI meets data residency requirements

Four AI Copilots

Role Design Copilot

Routes: ERP Role Design Studio

SAP/Oracle/Infor role engineers spend weeks in PFCG manually building roles, often introducing SoD conflicts discovered only at audit time.

Privilege sets from usage mining and peer-group patterns
SoD conflict flags before role publish
Plain-language authorization risk explanations
Draft role builder for SAP, Oracle, and Infor
PFCG grid and ERP privilege grid integration

Design SoD-clean roles 5× faster without logging into each ERP.

SOD Copilot + Role Advisor

Routes: SOD Analysis, Conflict Workbench

SoD violations require expensive consultant-led restructuring. Manual spreadsheets cannot scale across thousands of roles.

Role-level remediation with auto-suggest role splits
User-level safe-to-remove entitlements (365-day usage)
Conflict Workbench with mitigation assignment
LLM violation explanations and remediation narratives
What-if simulation before production publish

Remediate SoD at role and user level in days, not months.

Access Assistant

Routes: Access Request, JML, Approvals

Users request over-privileged access; approvers lack context; provisioning errors create audit findings.

Peer-group role recommendations
Pre-filled JML forms for joiners, movers, leavers
SoD impact preview before approval
Multi-ERP bundled access requests
Time-bound access with auto-expiry

Reduce provisioning time from days to hours with least-privilege guidance.

SAM Copilot

Routes: SAM Dashboard, Optimization Studio

License true-ups reveal shelfware; manual deprovisioning is slow and error-prone.

Unused SAP, M365, and Oracle license identification
Auto-deprovisioning case drafts with savings estimates
What-if license optimization scenarios
Contract intelligence alignment
Executive ROI dashboard

30–40% license cost reduction within 90 days.

How It Works

User Question → AI Orchestration Service → ATS AI (on-prem) → Grounded Context APIs (roles, SoD rules, violations, usage, licenses, JML) → Staged Action Proposal → Human Approval Required → Workflow Execution

AI proposes. Humans approve. Workflows execute. Audit trail captures everything.

FAQ

Can AI Tech Secure run AI on-premises without sending data to the cloud?

Yes. AI Tech Secure uses self-hosted ATS AI on your infrastructure. All copilots process data locally and require human approval before executing workflows.

How does AI help with SoD remediation?

The SOD Copilot and Role Advisor analyze violations at role and user level, suggest splits and minimum-removal plans, and require approver sign-off before changes apply.

Does the AI automatically provision access?

No. AI proposes staged actions — role changes, remediation plans, deprovisioning cases — but no workflow executes until an authorized user explicitly approves.

See Self-Hosted AI Govern Your Access — Book a Demo