Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...
The tension between data hunger and data hazards may be the defining challenge of the modern enterprise. The volume of data collected and stored by enterprises has exploded in the past few years. This ...
A lifecycle-based guide to securing enterprise AI—covering models, data, and agents, with five risk categories and governance guidance for leadership.
Abstract: This application note describes how the MAX36025 DeepCover™ tamper-reactive cryptographic-node controller enables an effective physical tamper protection to help designers overcome security ...
As artificial intelligence (AI) and machine learning (ML) applications expand, so do the demands for higher bandwidth, performance, and reliability in data center interconnectivity. Industries like ...
The Social Security inspector general’s office is investigating allegations that the former DOGE engineer took sensitive data on a thumb drive in a major potential security breach, said people ...
Cybersecurity is entering a decisive phase. In 2026, the most dangerous threats will no longer be slow, manual, or purely human-directed. They will be autonomous, adaptive, and capable of operating at ...
The article “DARPA Leverages Universities’ Quantum Expertise” by Kimberly Underwood in the July issue of SIGNAL Magazine discussed the exciting partnership between the Defense Advanced Research ...
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