How to Detect Shadow AI & Insider Risks

Описание: Discover how DTEX helps organizations detect and manage Shadow AI usage with powerful investigative tools. In this video, Lynsey Wolf, lead investigator for the DTEX i3 team, walks through a real-world investigation of risky user behavior, including the use of personal AI chatbots like ChatGPT and unapproved AI tools such as Skyvern.

-Learn how DTEX’s Open Search Suite, visualizations, and dashboards allow analysts to:
-Identify risky user activities based on behavior and alerts
-Visualize AI usage timelines and detect unusual patterns
-Investigate off-hours or unsanctioned AI tool usage
-Leverage the AI3 Risk Assistant for automated playbooks and complete investigative reporting
-Prepare for automated workflows through the upcoming DTEX MCP server

Whether you’re an insider risk analyst, security professional, or IT manager, this video demonstrates how DTEX provides the data, context, and automation to effectively monitor shadow AI, reduce insider risk, and safeguard your organization.

🔹 Key Topics Covered:
-Shadow AI detection and monitoring
-Risky user identification and behavior scoring
-Visualizing AI usage with dashboards and timelines
-Using AI3 Risk Assistant for streamlined investigations
-Automating investigations with DTEX MCP server

Stay ahead of insider threats and shadow AI risks—watch now and see how DTEX helps security teams make informed decisions.