https://thehackernews.com/2026/05/why-agentic-ai-is-securitys-next-blind.html
Agentic AI, artificial intelligence systems that can autonomously execute tasks, make decisions, and take actions across digital environments, is already running in production inside organisations worldwide, and in most cases the security team has little to no visibility over what those agents are doing. Unlike traditional software, agentic AI can interact with calendars, email systems, code repositories, file systems, and internal APIs, all without meaningful human oversight at each step. Security researchers and practitioners are now warning that the industry’s response has been too focused on policy questions like whether to allow or restrict AI tools, rather than the more urgent challenge of whether security professionals actually understand the technology well enough to defend it.
The risk landscape across agentic AI breaks into three distinct categories, each with its own threat profile. General-purpose coding and productivity agents like GitHub Copilot are already embedded in developer workflows whether formally approved or not, creating data access risks that most organisations have not fully mapped. More concerning are vendor-built agents using the Model Context Protocol, an integration layer that allows AI to connect to and act on external services, meaning a malicious instruction hidden inside something as mundane as a calendar invite could be read and executed by an AI agent without any human ever noticing. Perhaps most significant is the explosion of custom agents being built by non-technical staff across marketing, finance, and operations teams, creating what amounts to a shadow IT supply chain problem where functional automations with real system access are being deployed with no security review.
For Australian organisations accelerating their AI adoption, across banking, government, healthcare, and professional services, this story represents one of the most important emerging risk conversations of 2026. The warning from security experts is clear: organisations that allow business units to move forward with agentic AI without meaningful security involvement are accumulating exposure at a pace that compounds faster than it can be remediated. Getting ahead of this requires security teams to develop genuine, hands-on fluency with the technology rather than relying on policy frameworks written about tools they do not yet fully understand.