Cutover surveyed 300 IT decision-makers across the US and UK, and this year's data lands on a contradiction enterprises can't keep ignoring: teams have never been more confident in their cloud resilience, and outages have never taken longer to recover from.
The 4th Annual IT Disaster and Cyber Recovery Trends and Insights Report, published by Cutover in partnership with Insight Avenue, surveyed 300 IT decision-makers and influencers at enterprises with 1,000+ employees across the US and UK in April 2026. It's built to benchmark where enterprise resilience actually stands - not where teams believe it stands. Here's what stood out.
Cloud confidence is up. Recovery times are up too.
68% of organizations now believe operating in the cloud makes them inherently more resilient, up from 59% last year. That confidence hasn't translated into faster recovery. 79% of organizations report that cloud-related outages take longer to fully resolve than they did 12 months ago - up from 75% in 2025.
Cloud migration didn't remove complexity from disaster recovery (DR). It relocated it. Multi-cloud architectures, expanding attack surfaces, and persistent IT skills gaps are combining to slow full operational restoration, even as teams report feeling more secure. The report's data suggests that "we moved to the cloud" and "we can recover fast" have become two separate claims - and only one of them is holding up.
The business case for DR just changed.
For years, the biggest fear tied to an outdated recovery plan was a regulatory fine. That's no longer true. 70% of organizations now rank customer churn from a failed recovery as a top-three business risk - up from 46% just a year ago. Compliance penalties, once the top concern, have dropped to fourth place at 48%.
This is the shift that matters most for how DR gets funded and prioritized. When the risk was regulatory, DR was a compliance line item. When the risk is customers leaving and revenue walking out the door, DR becomes a board-level conversation about growth. The report breaks down exactly how that risk hierarchy has inverted.
Confidence is the new barrier to updating DR plans.
34% of organizations last updated their disaster recovery plans more than 12 months ago - up from 31% in 2025. Last year, the top reason teams gave for not updating their plans was process complexity. This year, complexity has dropped to fourth place. The number one reason now: teams report absolute confidence that their existing plans already work.
That's a different problem to solve. It's not a resourcing gap or a tooling gap - it's a plan that hasn't been stress-tested recently enough for anyone to notice it's gone stale.
Automation has scaled unevenly - and AI adoption comes with real conditions attached.
88% of organizations say automation investment improves recovery outcomes, but that investment is concentrated in communication and repetitive manual tasks. Integration with core systems like CMDB, ITSM, and Infrastructure-as-Code tools has fallen from 55% to 39% in a single year - automation is expanding at the edges while the systems that matter most for full recovery stay disconnected.
The same caution shows up in how enterprises think about agentic AI. 97% of IT leaders expect AI to shape their DR processes within two to three years, but trust drops fast once AI moves toward live production systems: only 30% would let AI independently initiate a failover or rollback. 90% say human oversight has to stay in the loop regardless of how far AI capability advances. The report details exactly which guardrails - audit trails, access controls, mandatory approval gates - organizations are requiring before they'll hand AI more control.
What this means for your recovery strategy
The report's core finding: the enterprises that recover fastest in 2026 won't be the ones with the most tools. They'll be the ones with plans that are current, tested, and built for how systems actually fail today - not how they failed three years ago.
That's the short version. The full report goes deeper on each of these themes, including the complete data breakdown by company size, geography, and DR maturity, plus the specific governance model enterprises are asking for as they bring AI into recovery.
Download the full 4th Annual IT Disaster and Cyber Recovery Trends and Insights Report →