Unplanned downtime poses a significant problem for organizations, and is estimated to price International 2000 corporations on common $200 million per yr. Past the monetary impression, it might additionally erode buyer belief and loyalty, lower productiveness, and even lead to authorized or privateness points.
A 2024 ransomware assault on Change Healthcare, the medical-billing subsidiary of trade large UnitedHealth Group—the largest well being and medical knowledge breach in US historical past—uncovered the info of round 190 million folks and led to weeks of outages for medical teams. One other ransomware assault in 2024, this time on CDK International, a software program agency that works with almost 15,000 auto dealerships in North America, led to round $1 billion value of losses for automobile sellers because of the three-week disruption.
Managing danger and mitigating downtime is a rising problem for companies. As organizations turn into ever extra interconnected, the increasing floor of networks and the speedy adoption of applied sciences like AI are exposing new vulnerabilities—and extra alternatives for menace actors. Cyberattacks are additionally changing into more and more refined and damaging as AI-driven malware and malware-as-a-service platforms turbocharge assaults.

To organize for these challenges head on, corporations should take a extra proactive method to safety and resilience. “We’ve had a standard means of doing issues that’s truly labored fairly effectively for possibly 15 to twenty years, however it’s been based mostly on detecting an incident after the occasion,” says Chris Millington, world cyber resilience technical knowledgeable at Hitachi Vantara. “Now, we’ve bought to be extra preventative and use intelligence to deal with making the techniques and enterprise extra resilient.”
This content material was produced by Insights, the customized content material arm of MIT Know-how Evaluation. It was not written by MIT Know-how Evaluation’s editorial workers. It was researched, designed, and written fully by human writers, editors, analysts, and illustrators. This contains the writing of surveys and assortment of information for surveys. AI instruments which will have been used had been restricted to secondary manufacturing processes that handed thorough human assessment.




