Kaspersky Details Controls for AI-Agent Risks in Corporate Systems

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Summary

Kaspersky describes controls for identifying and restricting AI agents, detecting risky behavior, and scanning agent skills and LLM files. Its EDR rules cover sensitive-file access, unsafe execution settings, MCP artifacts, and unusual LLM API use.

Key points

  • Kaspersky says its Application Control can identify AI agents on endpoints and allow or block them by organizational policy; Web Control can restrict access to AI services.
  • Kaspersky EDR rules flag agents accessing files with credentials or keys, running with auto-approval or disabled sandboxing, and unusual applications connecting to external LLM APIs.
  • A separate rule detects MCP server scripts created or modified in hidden, temporary, or cache directories; other rules can record known agent launches and local model-file changes.
  • Kaspersky says its Threat Intelligence Portal provides AI-agent profiles with platform, privilege, actor-use, and detection information, while Hunt Hub provides detection-rule logic and related details.
  • Kaspersky Scan Engine can scan agent skills, associated scripts, generated files, and potentially dangerous LLM formats for malicious code.
  • The article describes an Armored Likho campaign in which Kaspersky found signs of AI-generated loader and dropper samples and a BusySnake module; it says conventional rules detected suspicious PowerShell and rundll32 activity.

Article Details

Event Type
Kaspersky announced capabilities for detecting and controlling AI agents and related threats, and reported signs of AI use in a recent Armored Likho campaign.
Impact
The described Kaspersky capabilities monitor and restrict AI-agent activity, detect risky behavior and malicious code in agent skills and LLM files, and support response actions such as stopping processes or isolating hosts. Kaspersky also reported signs that AI was used to create loader and dropper samples and develop modules for BusySnake malware.

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