Unplanned downtime poses a significant problem for organizations, and is estimated to value International 2000 firms on common $200 million per 12 months. Past the monetary affect, it may well 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 big UnitedHealth Group—the largest well being and medical information 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 price of losses for automobile sellers on account of the three-week disruption.
Managing threat and mitigating downtime is a rising problem for companies. As organizations turn out to be ever extra interconnected, the increasing floor of networks and the fast adoption of applied sciences like AI are exposing new vulnerabilities—and extra alternatives for risk actors. Cyberattacks are additionally turning into more and more subtle and damaging as AI-driven malware and malware-as-a-service platforms turbocharge assaults.
To organize for these challenges head on, firms should take a extra proactive method to safety and resilience. “We’ve had a standard manner of doing issues that’s really labored fairly effectively for possibly 15 to twenty years, but it surely’s been primarily based on detecting an incident after the occasion,” says Chris Millington, world cyber resilience technical knowledgeable at Hitachi Vantara. “Now, we’ve obtained to be extra preventative and use intelligence to concentrate on making the techniques and enterprise extra resilient.”
This content material was produced by Insights, the customized content material arm of MIT Expertise Overview. It was not written by MIT Expertise Overview’s editorial workers. It was researched, designed, and written completely 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 evaluation.