Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Shadow AI refers to the unauthorized or unmonitored use of AI tools (like ChatGPT, Copilot, Claude, and Gemini) by employees in the workplace. It’s now one of the fastest-growing data exfiltration vectors. Employees are pasting source code, customer or patient data, contract terms, and even M&A info into gen AI tools, often without realizing the risk. And many legacy DLP tools are still catching up.

Your organization runs on data. But do you actually know where it goes every day? Between Slack messages, Google Drive shares, AI assistants, and browser uploads, your sensitive data is constantly moving: Every one of these moments is a data exposure risk.

For years, data loss prevention has been synonymous with pain: These legacy approaches treat every potential incident the same, forcing teams to waste time deciphering what really happened and why it matters. Meanwhile, real risks slip through the cracks because no team can manually keep up.

As AI transforms the security landscape, security leaders face a critical decision.