Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

I signed the Free Fable letter at freefable.org. I want to explain why — and why the reasoning behind it matters for AI code security beyond any single AI model. Cybersecurity defenders are not just critics of technology. We are the builders and operators of the systems that keep real organizations running under pressure.

Agentic AI is evolving from assistants that answer questions into systems that can remember, use tools, call APIs, interact with SaaS applications, and improve over time. Hermes Agent, developed by Nous Research, reflects this shift as a self-improving agent that can create skills, persist knowledge, and build context across sessions., reflects this shift as a self-improving agent that can create skills, persist knowledge, and build context across sessions.

Security teams spend enormous energy responding to threats, but many of the most damaging incidents trace back to a surprisingly simple failure: the organization didn't have an accurate picture of what it owned, what was exposed, and what its tools were actually doing about it. That gap between assumed coverage and actual coverage is where attackers operate, and adding more tools doesn't fix the underlying visibility problem.