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Use case
User Access Review
Torch automates User Access Reviews even for disconnected and legacy apps. No more flat-file exports or manual reconciliation. With AI-driven mapping and automated workflows, reviews become fast, accurate, and audit-ready.
The Challenge
User access reviews are manual and time-consuming
Disconnected apps without SCIM or SAML force IAM teams into clunky manual work. Access data is dumped into flat files, roles don’t match between apps and IdPs, and managers are stuck reviewing messy spreadsheets. The result: slow reviews, human error, and costly compliance gaps.
The Solution
Continuous access reviews for any app
Torch standardizes and automates User Access Reviews across your entire environment - even for disconnected and homegrown systems. It collects access data, maps roles intelligently, and presents managers with simple approve/deny workflows. Every decision is logged and audit-ready.
key capbilites
Continuous Collection
Torch automatically gathers access data from disconnected and legacy systems, without flat files.
Role Mapping
AI maps inconsistent app roles to enterprise policies.
Manager-Friendly
Reviews are streamlined into intuitive, business-ready workflows.
how it works
How does Torch handle disconnected apps?
Torch's automation engine connects to disconnected or homegrown systems and pulls entitlements on a continuous basis. It replaces manual exports with secure connectors, analyzes the raw data, and normalizes it into a clean, review-ready format managers can work with.
Can Torch replace flat-file exports?
Yes. No more CSVs or spreadsheet reconciliation. Torch pulls access data directly and presents it in context, ready for review.
How are roles mapped between apps and IdP?
Torch uses AI to analyze and align app-specific roles with enterprise policies.