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Enterprise AI is transitioning from the “does it work” phase to the “how can we adopt it safely” phase, creating an unprecedented and complex mix of opportunities and challenges for business leaders.

Despite its widespread adoption in industrial and personal contexts, only 66% of people use AI, and only 46% trust it.

The patch tsunami is here, and browsers are absorbing the worst of it.

When a cyberattack affects a medical device, the most important question isn’t what happened to the technology. It’s what happened to the patient. 

Artificial intelligence is transforming healthcare. But with these advances comes a new category of legal risk: AI-related malpractice liability.

Election security has shifted from protecting systems to protecting trust. 

AI-powered cyberattacks did not begin with Mythos.

Artificial intelligence is no longer experimental inside the enterprise, and neither should be the governance surrounding it.

Budgets are stretched with varying priorities, yet safety threats continue to grow, challenging schools to strengthen their security posture using the resources they have on hand. 

The case for using smartphones for mobile electronic access control (EAC) credentialing.