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Scirge provides complete visibility into the very first stages of the cloud identity lifecycle, detecting new accounts across Shadow IT, AI tools, SaaS applications, supply chain portals, and more. Any account created using a corporate email or accessed via SSO is automatically added to the inventory. This is a fully automated process for full lifecycle management for every cloud identity.
Example: When an employee signs up for a SaaS tool using their corporate email, Scirge detects the account and adds it to the inventory. It also checks for security risks such as weak passwords or identity misuse.
Scirge maps every account used on authorized endpoints to the employee accessing it. Quick insights are available with filtering for browser-saved accounts, SSO logins, weak passwords, or specific applications, giving IT teams precise visibility.
Example: Identify employees reusing corporate passwords across Shadow IT accounts, enabling targeted remediation to reduce credential-related risks.
Detect shared accounts, identity misuse, and other suspicious activity. Built-in and custom indicators and workflows correlate misuse across accounts, email addresses, and applications to reduce risks and ensure compliance.
Example: Flag shared access to a corporate SaaS account, so only the right users have access to sensitive systems.
Scirge allows IT teams to filter for email-based accounts, browser-saved passwords, and unmanaged SSO logins when employees or contractors leave. Without complete cloud identity visibility, organizations risk becoming vulnerable to lingering access points and unauthorized usage.
Example: A departing contractor’s account to an HR system was detected to be saved in the browser. The password is changed, ensuring the organization’s access footprint remains secure and compliant.
Scirge gives organizations the tools to discover and manage Shadow IT by tracking where and how corporate credentials are used across SaaS, supply-chain, GenAI, and other web applications. It helps discover Shadow SaaS and Shadow AI, and identify risks like password reuse, shared accounts, and phishing, while providing real-time awareness messages, automated workflows, and actionable insights.
