{"id":1359,"date":"2026-06-18T13:25:58","date_gmt":"2026-06-18T13:25:58","guid":{"rendered":"https:\/\/thedigitalfortress.us\/?p=1359"},"modified":"2026-06-18T13:25:58","modified_gmt":"2026-06-18T13:25:58","slug":"how-to-find-hidden-access-risks-inside-your-network","status":"publish","type":"post","link":"https:\/\/thedigitalfortress.us\/?p=1359","title":{"rendered":"How to Find Hidden Access Risks Inside Your Network"},"content":{"rendered":"
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\ue804<\/i>The Hacker News<\/span>\ue802<\/i>Jun 18, 2026<\/span><\/span>AI Security \/ Data Security<\/span><\/p>\n<\/div>\n

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If an autonomous AI agent interacts with your company’s core intellectual property today, can your security team instantly name the person who authorized it?<\/p>\n

For most enterprises, the answer is a simple no<\/b>.<\/p>\n

The rush to adopt internal AI tools has left a massive trail of administrative debt: orphaned agents<\/a><\/b> (AI tools left running after their creator leaves the company) and standing privileges<\/b> (AI that retains permanent, unrestricted access it no longer needs).<\/p>\n

When an employee moves on, the automated tools they built stay active\u2014often keeping unmonitored access to sensitive databases and source code long after the human\u2019s credentials are revoked.<\/p>\n

To help security teams bridge this line of accountability, The Hacker News<\/i> is hosting a technical briefing. Secure your spot today for the live webinar: Orphaned Agents & Standing Privileges: The Hidden Access Risks of Internal AI<\/a>.<\/p>\n

Why Existing Security Tools Miss the Signal<\/h3>\n

Traditional access tools treat AI like standard software. But AI does not stay static; it continuously pulls, shifts, and interacts with data on its own.<\/p>\n

A standard security filter sees an AI tool pull an entire repository and assumes the application is just doing its job. It cannot see that the employee who originally spun up that tool left the company last week. The system cannot judge whether the action is malicious because it doesn’t know whose identity the agent is borrowing.<\/p>\n

Trying to secure an AI tool by itself does not work. Finding these hidden scripts is only half the problem; you still have to map them back to a living owner. Register now to look at the plumbing required to unify human, machine, and AI identities under one control plane.<\/p>\n

What the Session Covers<\/h3>\n

This technical deep dive skips the AI marketing hype to focus on practical architecture:<\/p>\n