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?
For most enterprises, the answer is a simple no.
The rush to adopt internal AI tools has left a massive trail of administrative debt: orphaned agents (AI tools left running after their creator leaves the company) and standing privileges (AI that retains permanent, unrestricted access it no longer needs).
When an employee moves on, the automated tools they built stay active—often keeping unmonitored access to sensitive databases and source code long after the human’s credentials are revoked.
To help security teams bridge this line of accountability, The Hacker News is hosting a technical briefing. Secure your spot today for the live webinar: Orphaned Agents & Standing Privileges: The Hidden Access Risks of Internal AI.
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.
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.
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.
This technical deep dive skips the AI marketing hype to focus on practical architecture:
The developer who built the automation may have left months ago, but the access token hasn’t. Join SailPoint and The Hacker News to learn how to revoke access before an attacker uses it for you.
📅 Save Your Spot Today: Register for the Webinar Here.
Learn how to uncover hidden AI use, see what data it can access, map every AI action to a human owner, and apply practical governance without heavy infrastructure changes.
Learn how to contain Mythos-style AI attacks with practical Zero Trust controls that reduce exposure, stop lateral movement, and limit risk.
Get the latest news, expert insights, exclusive resources, and strategies from industry leaders, all for free.
Leave a Reply