Unplanned downtime poses a serious problem for organizations, and is estimated to price World 2000 corporations on common $200 million per 12 months. Past the monetary affect, it may possibly additionally erode buyer belief and loyalty, lower productiveness, and even end in authorized or privateness points.
A 2024 ransomware assault on Change Healthcare, the medical-billing subsidiary of business big UnitedHealth Group—the largest well being and medical information breach in US historical past—uncovered the information of round 190 million individuals and led to weeks of outages for medical teams. One other ransomware assault in 2024, this time on CDK World, a software program agency that works with practically 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 danger and mitigating downtime is a rising problem for companies. As organizations grow to be 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 risk actors. Cyberattacks are additionally changing 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, corporations should take a extra proactive method to safety and resilience. “We’ve had a standard method of doing issues that’s really labored fairly nicely for possibly 15 to twenty years, however it’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 Evaluate. It was not written by MIT Expertise Evaluate’s editorial employees. It was researched, designed, and written fully by human writers, editors, analysts, and illustrators. This contains the writing of surveys and assortment of knowledge for surveys. AI instruments that will have been used have been restricted to secondary manufacturing processes that handed thorough human evaluate.
