"Backup isn't done and entrustable until you've gone in and made sure that the application actually works and can be brought back to the recovery environment," explains Brent Torre, GM of cyber resilience at Kaseya.
That sentence sums up the argument presented in a recent industry piece: copying data to storage is not the same as being able to recover an entire workload when disaster strikes. Kaseya, working with 1105 Media, surveyed 200 IT professionals and found most lack strong confidence in their recovery posture — a reality that the piece says is driving a shift toward automated, AI-driven verification methods embedded in backup platforms.
Kaseya and the 1105 Media survey: where confidence falls short
The survey of 200 IT professionals found 53 percent were no more than "somewhat confident" in their organization's ability to fully recover from a ransomware attack and described their backups as supported by no better than "limited testing." Only 15 percent said they were "very confident" they could resume operations with no data loss. The article uses those figures to argue a sizable proportion of IT teams are operating without strong evidence that their backups will restore successfully.
Manual verification and the false comfort of screenshots
The article details why traditional verification practices often fail. Manual or intermittent verification — including screenshot checks — can produce misleading signals: false negatives that waste time and false positives that leave organizations exposed. It describes manual screenshot verification as a proven way to squander security budgets, tying up skilled engineers on repetitive work and diverting them from higher-value tasks. Across complex estates spanning on-premises systems, SaaS and cloud endpoints, the piece argues basic, static verification is insufficient and can create an illusion of safety while risk accumulates.
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See what we buildAI-powered screenshot verification: method and claimed benefits
As an alternative, the article presents AI-powered screenshot verification as the "emerging gold standard." The method it outlines boots virtualized backups, captures screenshots of the running restore, and uses context-aware visual AI combined with OCR to identify login screens, dashboards and maintenance states. The piece reports this approach yields 99.9 percent verification accuracy, sharply reduces false positives, and gives IT teams greater confidence that backed-up data is complete and restorable.
Beyond accuracy, the article stresses operational benefits: automated verification removes repetitive manual effort, frees human teams for higher-value work, improves SLA confidence, and lets environments scale without ballooning overheads. It also claims the approach does not require major up-front investment or deep internal expertise, and that it can be deployed with minimal disruption to existing workflows.
Datto's BCDR and RMM integration: a packaged option
The article highlights Datto — described as "the cybersecurity and data protection outfit owned by Kaseya" — which has built AI-powered verification into its business continuity and disaster recovery (BCDR) platform. Datto also offers the option to integrate remote monitoring and management (RMM) with BCDR, enabling proactive remediation through automated deployments, the merging of backup health with endpoint alerts, and virtual restores launched directly from a single management console.
Brent Torre is quoted describing the practicality of that integration: with RMM and backup health visible together, "you have the ability to understand your risk profile across the fleet in terms of protection" and "you can start a backup-initiated recovery directly from the RMM platform." He frames the ideal as continuous validation and automated remediation rather than periodic, light-touch checks, and says the perfect verification solution should be "impossibly easy to use," requiring zero cognitive effort beyond deploying a client and initiating a recovery.
What this means for MSPs, IT managers, and compliance teams
- MSPs: The article argues AI-powered verification makes the economics of recovery stack up — reducing manual effort and false alarms so managed service providers can scale backup verification without proportionally increasing costs.
- IT managers and technologists: Automated verification promises to free skilled staff from repetitive screenshot review and to provide clear proof that a backup is restorable rather than merely completed.
- Compliance teams and regulators: The piece notes that some compliance frameworks "explicitly state that you must test recovery on a frequent basis," and it positions continuous validation as a way to meet increasingly strict recovery-testing requirements.
The piece closes with a practical injunction: distinguish a completed backup job from a recoverable workload. "By deploying AI-powered verification, you stop treating backup as a probability and start treating it as a proof," it says — and when disaster comes, that certainty may be the difference between a fast recovery and a very long night. For those wanting a deeper look, the article points to the "When Backup Meets Security in the MSP Stack" whitepaper and notes the story is sponsored by Datto.
