When we think of AI threats, science fiction often conjures images of robots on a battlefield. While that future may or may not materialize, I believe the more pressing and far more dangerous reality is the rise of distributed agentic networks operating within our digital infrastructure.
Why is this form of AI so dangerous? It creates a profound asymmetry. Compared to physical systems, a network of digital agents is cheaper, more scalable, harder to detect, and can evolve at a much faster pace. We are no longer dealing with tools that simply assist humans; we are entering an era of systems that act, behaving more like autonomous operators than software.
This isn't a theoretical concern. The International AI Safety Report, released in February 2026, already warned that advanced AI systems could identify software vulnerabilities, generate exploit code, and support multi-step cyber operations. But here’s the critical point: this report was published just before frameworks like OpenClaw made agentic orchestration widely accessible, fundamentally scaling the impact of these systems.
This means the report’s warnings likely underestimate what is already possible today. For nations like Israel and organizations involved in national security, cyber, and AI strategy, ignoring this shift is like entering a fight with sticks while the opponent wields ballistic missiles. This is a fundamental change in the security landscape that demands our immediate and focused attention.