For the last few years, the concern was Generative AI—attackers using tools like ChatGPT to write better phishing emails or generate simple malware scripts. In 2026, the threat has evolved into Agentic AI.
Nearly half of cybersecurity professionals now view Agentic AI as the single most dangerous attack vector.
The Shift: Generative AI waits for a prompt. Agentic AI is given a goal (e.g., "Infiltrate this hospital's billing system") and operates autonomously. It plans, acts, observes the network's defenses, adapts its tactics when blocked, and persists until the goal is met—all without human intervention.
The "Shadow AI" Problem: Internally, businesses are rushing to deploy AI agents to handle tasks from customer support to coding. However, these agents are being deployed with elevated permissions across systems. They have essentially become "non-human identities," and if an attacker compromises a company's internal AI agent, they gain the keys to the kingdom.
Nearly half of cybersecurity professionals now view Agentic AI as the single most dangerous attack vector.
The Shift: Generative AI waits for a prompt. Agentic AI is given a goal (e.g., "Infiltrate this hospital's billing system") and operates autonomously. It plans, acts, observes the network's defenses, adapts its tactics when blocked, and persists until the goal is met—all without human intervention.
The "Shadow AI" Problem: Internally, businesses are rushing to deploy AI agents to handle tasks from customer support to coding. However, these agents are being deployed with elevated permissions across systems. They have essentially become "non-human identities," and if an attacker compromises a company's internal AI agent, they gain the keys to the kingdom.
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