Why AI Security Needs Interaction-Level Controls Alongside CASB and DLP

Summary

The article argues that CASB and DLP may miss risks arising from prompt context, AI responses, and agent actions, and recommends interaction-level inspection alongside app discovery and access controls.

Key points

• AI-related data exposure can arise through sensitive context spread across prompts, even when no known DLP pattern is triggered.
• The article says CASB access controls may not assess the semantic and cumulative context of an AI conversation.
• It recommends reviewing prompts, AI responses, agent tool use, retrieved or transmitted data, and whether resulting actions are authorized.
• The examples distinguish routine AI use from higher-risk requests involving unannounced products, proprietary logic, or restricted internal documents.
• Prompt injection is presented as a risk when an agent follows instructions embedded in retrieved content.
• The article recommends combining CASB and DLP with interaction-level inspection rather than relying on default-deny access policies, which it says can drive use toward unmanaged tools.