For years, security teams learned how to protect systems that respond. Agentic AI introduces systems that decide. That difference sounds small at first. It isn’t. Most of today’s AI security conversation still treats models like tools: prompt in, response out, controls around the edges. Agentic systems behave differently. They perceive information, reason over goals, invoke tools, and act — often repeatedly, and often without a human approving every step. This post is an atte

Check out a related podcast at https://www.drchaos.com/post/podcast-ai-agents-and-the-new-insider-threat As we move into 2026, the cybersecurity landscape is undergoing a phase shift where AI is transitioning from a modular tool into an autonomous, operational actor For technical practitioners, this necessitates a move beyond traditional defense-in-depth toward an authenticity-centric architecture capable of countering industrialized, machine-speed adversaries   The Agentic

Check out our companion blog at: https://www.drchaos.com/post/the-agentic-shift-architecting-for-the-crisis-of-authenticity-and-industrialized-cybercrime-in-2026 Join our latest podcast. We explore the transformative impact of AI on insider threat dynamics. Learn about how AI agents manipulate systems and evade detection through interviews with industry leaders. Listen directly on Soundcloud - https://soundcloud.com/drchaos-podcast/ai-agents-and-the-new-insider-threat or you

My annual pilgrimage to Las Vegas for Black Hat USA and DEF CON—what many of my friends affectionately call “Hacker Summer Camp”—took...

Catch up on recent discussions highlighting the significant and evolving cyber threat posed by Iran

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RSA Conference 2025 delivered a clear message: the next frontier in cyber defense—and offense—is Agentic AI. Okay what is Agentic AI...

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Enabling Remote Desktop Protocol (RDP) on Kali Linux allows you to access the system remotely with a graphical interface. Below is a...