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AI-powered workforce monitoring is giving employers new visibility into how employees work, from spotting burnout patterns to uncovering productivity trends.
Summary
But inside enterprises, the line between helpful analytics and intrusive surveillance is blurring fast. In May 2026, reports emerged that the U.S. Department of Agriculture had hired Palantir to develop a tool for tracking federal employees' return-to-office compliance, raising concerns among privacy advocates.
In June, Meta scaled back an internal employee monitoring tool it had built to help train its AI systems after receiving pushback from employees. While AI systems can see and infer more about workers than ever before, this visibility can erode employee trust.
This summary is a partial excerpt, the source's own feed cuts off here. Read the full story at Techtarget for the rest.
KazaSec's take
Perimeter infrastructure like VPNs, firewalls, and routers needs the same ongoing scrutiny as anything user-facing, it's frequently the oldest, least-monitored layer of the stack, and a popular target precisely because of that.
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