The rapid evolution of AI makes reactive security obsolete. The new approach involves testing models in high-fidelity simulated environments to observe emergent behaviors from the outside. This allows mapping attack surfaces even without fully understanding the model's internal mechanics.

A key threshold in AI-driven hacking has been crossed. Models can now autonomously chain multiple, distinct vulnerabilities together to execute complex, multi-step attacks—a capability they lacked just months ago. This significantly increases their potential as offensive cyber weapons.

The conflict in Ukraine exposed the vulnerability of expensive, "exquisite" military platforms (like tanks) to inexpensive technologies (like drones). This has shifted defense priorities toward cheap, mass-producible, "attritable" systems. This fundamental change in product and economics creates a massive opportunity for startups to innovate outside the traditional defense prime model.

The proliferation of drones is fueled by consumer electronics. Companies like Qualcomm and Nvidia provide powerful "system on a chip" components and even reference designs, making it easy for non-state actors and smaller nations to build and deploy advanced military hardware that was previously inaccessible.

A single jailbroken "orchestrator" agent can direct multiple sub-agents to perform a complex malicious act. By breaking the task into small, innocuous pieces, each sub-agent's query appears harmless and avoids detection. This segmentation prevents any individual agent—or its safety filter—from understanding the malicious final goal.

Security's focus shifted from physical (bodyguards) to digital (cybersecurity) with the internet. As AI agents become primary economic actors, security must undergo a similar fundamental reinvention. The core business value may be the same (like Blockbuster vs. Netflix), but the security architecture must be rebuilt from first principles.

Countering the common narrative, Anduril views AI in defense as the next step in Just War Theory. The goal is to enhance accuracy, reduce collateral damage, and take soldiers out of harm's way. This continues a historical military trend away from indiscriminate lethality towards surgical precision.

As autonomous weapon systems become increasingly lethal, the battlefield will be too dangerous for human soldiers. The founder of Allen Control Systems argues that conflict will transform into 'robot on robot action,' where victory is determined not by soldiers, but by which nation can produce the most effective systems at the lowest cost.

Industrial control systems (OT) on factory floors are largely unencrypted and unsecured, a stark contrast to heavily protected IT systems. This makes manufacturing a critical vulnerability; an adversary can defeat a weapon system not on the battlefield, but by compromising the industrial base that produces it.