Hermes AI Agent Detection and the End of Claude’s Dominance

As organizations expand beyond closed AI ecosystems, more open and extensible agentic platforms are emerging with far fewer guardrails.

Hermes Agent is one example. In DTEX research, Hermes enabled a fully automated red-team simulation, including command-and-control capabilities, with minimal restrictions. Designed for flexibility and autonomy, platforms like Hermes can blur the line between human and agent activity.

When abused, they can:

  • Connect endpoint activity to external messaging platforms such as Telegram, WhatsApp, Slack, Discord, and Teams
  • Pull and execute code from public repositories
  • Automate multi-stage attack workflows
  • Obscure attribution between a user and an AI agent
  • Operate continuously using legitimate credentials and approved tools

Because these agents act as the user, their behavior rarely matches the malware and exploit patterns traditional security controls are designed to detect.

  • How Hermes activity appears across endpoints, files, browsers and mobile gateways
  • Why unapproved agents can create data exposure, supply chain and attribution risk
  • What indicators help teams detect agentic AI activity before exposure