Raising the Cybersecurity Stakes: Ante up for the Agentic Era

GenAI platforms have progressed from large language model pattern matching to tool-calling agents, and many enterprises report that AI writes most of their code. Threat actors have accelerated agentic attacks faster than human defenses can respond. Cybersecurity questions have shifted from identifying assets to prioritizing importance and then remediating issues, but conversational AI recommendations are not enough when remediation cannot keep pace. The agentic era requires remediation at machine speed and at scale, with CISOs asking how to enable agentic remediation. AI changes the attack surface and control plane by spanning assets, identity, and decision context, while AI-generated code and enterprise AI agents introduce additional risk. Connecting AI broadly can undermine network segmentation and isolation principles.

"Organizations are making a big bet on AI, but if their plans don't include a cybersecurity strategy, then they are gambling with their future. Over the past few years, GenAI platforms have matured from pattern-matching large language models (LLMs) to tool-calling agents. Many enterprises now report that the majority of their code is written by AI. However, threat actors have also upped the ante - agentic attacks shape offense faster than human defenses can respond."

"Now, virtually every cybersecurity solution has implemented conversational AI that can make recommendations, but manual remediation cannot keep pace with AI-powered cyberattacks. The agentic era is forcing manual remediation processes to evolve rapidly. CISOs are now facing machine-speed attacks and asking, " How do I agent?" The industry must provide remediation at scale."

"AI has changed the game in both the scope of the attack surface and the scale of agentic attacks. This attack surface (and the control plane) spans assets, identity, and decision context. Enterprise AI agents and AI-generated code are both sources of risk."

"But the agentic enterprise is a security nightmare. Connecting AI to everything creates a flat network that runs counter to the principles of network segmentation and isolation that the security industry has adv"

Read at SecurityWeek