Guide to Protecting AI Agents by Kaspersky Lab

Kaspersky Lab has released a comprehensive guide on ensuring artificial intelligence security. The company's experts analyzed three real-world attack scenarios targeting AI agents and proposed architectural solutions to mitigate risks.

Threats

• EchoLeak — data leakage through query context
• SearchLeak — risks associated with information retrieval
• CamoLeak — hidden compromise vectors

The authors emphasize that large language models cannot be considered fully trusted system components due to vulnerabilities in context processing. To ensure protection, strict isolation and access control over agent tools are recommended.

This material is intended for engineers, developers, and project managers involved in creating secure AI-based solutions.