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The AI-on-AI Arms Race: How Generative Attack Tradecraft Is Changing Network Defense
Chuck Faughnan, III | Personam.ai
May 29, 2026
The AI-on-AI arms race is already underway, but not in the way most headlines suggest. The immediate risk is not a fully autonomous “AI virus” sweeping enterprise networks. The more credible and more dangerous shift is operational: attackers are using generative AI to speed up reconnaissance, improve phishing, refine scripts, and adapt intrusion workflows faster than static defenses can respond.
The AI-on-AI Arms Race: How Generative Attack Tradecraft Is Changing Network Defense
May 29, 2026
The AI-on-AI arms race is already underway, but not in the way most headlines suggest. The immediate risk is not a fully autonomous “AI virus” sweeping enterprise networks. The more credible and more dangerous shift is operational: attackers are using generative AI to speed up reconnaissance, improve phishing, refine scripts, and adapt intrusion workflows faster than static defenses can respond.
The Unagentable Blind Spot: Why CISOs Need Network-Level Visibility in Healthcare
The unagentable blind spot is where too many hospital detection programs still break down. A modern healthcare environment is full of devices and traffic patterns that traditional endpoint-first controls either cannot cover or cannot inspect safely: legacy systems, medical devices, IoT, BYOD, shared clinical workstations, and east-west movement across the network. HHS 405(d) found that 96% of hospitals report operating end-of-life operating systems or software, including medical devices, and also notes that active scanning itself has disrupted medical devices in practice.[1] That means the places defenders most need visibility are often the places they can least afford to touch aggressively.
