Best Shadow AI Detection Tools for Cursor
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Compare the Top Shadow AI Detection Tools that integrate with Cursor as of October 2026
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This a list of Shadow AI Detection tools that integrate with Cursor. Use the filters on the left to add additional filters for products that have integrations with Cursor. View the products that work with Cursor in the table below.
What are Shadow AI Detection Tools for Cursor?
Shadow AI detection tools help organizations identify and manage unauthorized or “shadow” AI usage that occurs outside of approved systems and governance controls. They scan network traffic, app logs, and user behavior to detect when employees are accessing or interacting with AI services that aren’t sanctioned by IT or compliance teams. The software often includes alerts, dashboards, and risk scoring to highlight unapproved AI tools, usage patterns, and potential data exposure. Many solutions integrate with identity management, security monitoring, and policy enforcement systems to block or remediate risky AI activity. By uncovering hidden AI usage and enforcing governance, shadow AI detection tools help protect data integrity, reduce compliance risk, and maintain control over enterprise AI adoption. Compare and read user reviews of the best Shadow AI Detection tools for Cursor currently available using the table below. This list is updated regularly.
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Josys
Josys
Josys is a modern AI-native identity security and governance platform. Enterprise AI adoption has made identity the fastest-growing attack surface — and the hardest to govern. Josys discovers, governs, and secures every identity - human, machine, and AI agent - across every application in the enterprise. Built on policy-led governance, Josys lets security and IT teams define access policies once and enforce them autonomously: risk is surfaced, access is controlled, and identity threats are remediated in real time, without manual oversight. Trusted by over 1,000 organizations and MSPs worldwide, Josys turns identity from the fastest-growing attack surface into an autonomously governed advantage. For more information, visit josys.com. -
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Knostic
Knostic
Knostic is an enterprise AI security and governance platform designed to prevent data leakage and control how large language models access and share information within organizations. It introduces “need-to-know”–based access controls that dynamically determine what information an AI system can reveal based on user roles, context, and intent, rather than relying solely on static file permissions. It focuses on the knowledge layer between raw data and AI-generated responses, analyzing how information is inferred, combined, and delivered to ensure sensitive content is not overshared. Knostic provides continuous visibility into AI usage across tools like Copilot and other LLM-powered assistants, identifying risks such as semantic oversharing, inference-based exposure, and unauthorized knowledge access. It simulates real-world prompts to uncover hidden vulnerabilities before deployment, assigns quantified risk scores, and enables organizations to enforce granular policies.Starting Price: Free -
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Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security.
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