GenAI Security – Or Insecurity – Is In Your Hands

GenAI tools like ChatGPT, Gemini, and Copilot are hot topics among employees. Their adoption is growing among the enterprise employees, as expected, while the software developers are of the highest consumers of GenAI, with almost 40% and sales and marketing professionals are just after with 28% usage. 

Although GenAI adoption has grown since its debut in late 2022, it has yet to fully integrate into daily workflows. As enterprises slowly embrace these tools, concerns around data privacy and security grow more critical. It’s in your hands to proactively implement security and Data Loss Prevention (DLP) controls to monitor and protect sensitive data from accidental, unauthorized, or malicious exposure through AI usage.

Mitigating Shadow AI Risks: The Case for AI Security Controls

Although well-known tools such as ChatGPT get most attention, there is just as much risk in ‘shadow’ AI applications that users upload data to, but fly under the radar of AI security tools.

According to data on GenAI usage collected by LayerX from our customer base, when looking at the top 100 AI tools used across organizations, ChatGPT accounts for an impressive 52% of all AI-related online connections, and the top 5 tools represent 86%, in aggregate. However, the bottom 50 (out of the top 100) tools make up less than 1% of connection requests combined.

This disparity presents a major security challenge: the rise of “shadow AI.” 

Many lesser-known AI tools operate without oversight, significantly increasing the risk of data leaks and compliance violations. To effectively mitigate this threat, security teams must proactively implement robust monitoring, governance, and DLP measures. This ensures AI usage aligns with corporate security policies and prevents unauthorized data exposure across all SaaS applications.

This means that organizations must make sure that they know which AI tools are being used in the organization, who’s using them, and that they have sufficient controls to apply data security measures to them.

LayerX Helps You Track User AI Activity

This is why LayerX introduced the Full Conversation Tracking feature – a game changer for enterprises.

Key capabilities of this new feature include:

  • Complete conversation capture across GenAI tools — including shadow AI — for full visibility into prompts and responses.
  • Context-aware DLP enforcement, applying data protection policies based on the content and intent of AI interactions.

Key customer benefits:

  • Eliminates blind spots, giving organizations control over knowing which AI tools are being used, by whom, and how.
  • Minimizes data risk, by preventing unauthorized or accidental exposure of sensitive information through AI.
  • Full audit and forensic capabilities for DLP legal teams.


Want to see how Full Conversation Tracking fits into your existing workflows? Book a demo with our team for a quick walkthrough.