AI’s potential for innovation comes with equal parts vulnerability. Complex models, opaque algorithms and large data sets make it difficult to understand and secure their AI systems. Threats range from data privacy issues and unauthorized tool use to adversarial attacks, compliance pressures and supply chain risks.
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Reporting window: September 14 – September 28, 2026 (trailing 14 days) What Actually Matters This Cycle Executive Snapshot This cycle in one line: Attackers are going straight at the systems that hold people data, from HR and recruiting platforms to court records and a Pentagon personnel server, and many of the worst exposures trace back…
It’s hard to attend a manufacturing conference, join an industry webinar or sit through a leadership meeting these days without hearing about artificial intelligence. Just a few years ago, AI was viewed as something futuristic or experimental. Today, many manufacturers are actively implementing AI tools to improve forecasting, maintenance planning, inventory management, purchasing and financial…
Not long ago, artificial intelligence was mostly a boardroom talking point for manufacturers, more theory than practice. That has changed fast. Over the last 12 to 18 months, manufacturers have moved from cautiously discussing AI to actively deploying it on the shop floor, in the back office and across the sales team. Rather listen than…
