STREAMLINE ACCESS REVIEWS
Streamline access reviews with 100% application connectivity
Torch automates User Access Reviews across all applications, including disconnected and legacy systems. AI-driven mapping and standardized workflows replace flat files and manual reconciliation, making reviews faster, cleaner, and audit-ready.
THE CHALLENGE
Access reviews break without full connectivity
Disconnected applications without SCIM or SAML force IAM teams into manual, spreadsheet-driven processes. Access data is exported into flat files, roles do not align between apps and identity providers, and managers review inconsistent information.
The result is slow review cycles, human error, and compliance gaps that increase audit risk.


The solution
Continuous access reviews for 100% of your apps
Torch standardizes and automates User Access Reviews across your entire environment, including disconnected, legacy, and homegrown systems. It collects access data, applies entitlement intelligence and role mapping, and delivers clear approve-or-deny workflows. Every decision is logged and audit-ready.
Continuous access data collection
Automatically gather access and entitlement data from disconnected and legacy systems without relying on flat-file exports.
Intelligent role and entitlement mapping
Normalize inconsistent roles to enterprise policies and continuously flag orphaned accounts, toxic combinations, and policy violations.
Manager-ready review workflows
Deliver intuitive, business-friendly approval workflows that streamline decisions and maintain continuous audit readiness.
why torch
100% connectivity for audit confidence
Log every access decision and entitlement change across all applications, connected or disconnected, creating a complete audit trail.
AI-powered automation
Eliminate manual reconciliation and spreadsheet preparation by automating review readiness and access updates across non-SCIM applications.
Intelligent review context
Present managers with risk-prioritized access decisions enriched with entitlement intelligence, usage data, and role mapping for faster, more accurate reviews.




