Top Shadow AI & Workforce Security Tools for 2026

A suite including GenAI Protect, Application Protection, and Risk Scanner providing visibility and control over enterprise AI usage across browsers and apps.

Netskope One AI Security governs enterprise GenAI use through its SSE/SASE platform: shadow AI app discovery with risk ratings, inline DLP on prompts and uploads, and user coaching. SkopeAI powers ML-based DLP with trainable classifiers, and its 2026 Cloud and Threat Report documents GenAI data policy violations doubling year-over-year.

Unified platform for discovering shadow AI, assessing model risks (AI-SPM), and enforcing runtime protection.

AI-native data protection platform that provides visibility and control over sensitive data in GenAI prompts and RAG contexts.

Enables enterprises to increase productivity via GenAI with a native platform for visibility and control.

Platform for enforcing governance, compliance, and security policies across enterprise AI usage.

Extends security architectures to detect, analyze, and control AI use (Shadow AI and Embedded Agents) to prevent data loss and threat insertion.

Trains workforces against AI-powered social engineering using hyperrealistic deepfake voice, video, email, and SMS attack simulations built from OSINT, plus adaptive training and risk scoring. OpenAI's first cybersecurity investment; closed an $81M Series B led by Bain Capital Ventures in December 2025.

YC-backed platform that discovers, risk-scores, and governs AI coding agents and tools — Claude Code, Cursor, Copilot, MCP servers — at the endpoint, enforcing allow/deny policies on agent actions with audit logging. Its AI gateway adds real-time data-leak protection; customers include Siemens, WeWork, and Flipkart.