Supply Disruption Prediction – AI-Powered Insights for a Resilient Future

A simple setup inside Google Gemini turned a daily frustration into a permanent fix — and you can do it in under five minutes

A new BleepingComputer and Kaseya webinar makes the case that the line between cybersecurity and backup has effectively disappeared, and that MSPs still treating them as separate disciplines are leaving a gap that attackers are happy to use.

As the rush to integrate agentic AI systems into workflows accelerates, there’s a concerning oversight: autonomy brings unpredictability, and unpredictability poses security risks. If we don’t reassess how we protect these systems, we may soon find ourselves facing threats we barely comprehend, on a scale we’re ill-equipped to manage.

Corporate spending on artificial intelligence is climbing fast, and 2026 is shaping up to be the year boards stop asking whether AI works and start asking what it returns. Gartner has labeled this an inflection point, the moment organizations are expected to tie their AI initiatives directly to business strategy rather than treating them as experiments. With analysts forecasting AI budgets to swell by nearly half this year alone, the pressure on executives to show real financial results has never been sharper. That pressure is steering attention toward a particular flavor of the technology: agentic AI, the kind that does not just answer questions but takes action.