AI-driven attacks now move at machine speed, making data-layer intelligence essential for fast, clean recovery and true business continuity.
Ransomware has become a business-level risk, not just an IT concern. Modern attacks use automation and artificial intelligence (AI) to infiltrate environments quietly, spread rapidly, and strike at high-impact moments.
For many organizations, the shock comes later. Despite having backup-and-recovery systems, they discover too late that their data layer was never as protected as they believed.
The gap between perceived resilience and actual readiness has become one of the most urgent challenges facing CIOs and CISOs today — and highlights the urgent need for an intelligent data infrastructure.
The security gap is now at the data layer
For decades technology leaders assumed that backups alone were enough to safeguard their data. But according to Sandra Dunbar, leader of cybersecurity solution marketing at NetApp, the threat landscape has evolved too quickly for legacy strategies to keep up.
“The perception has always been that if the organization has backups, its data is safe,” Dunbar says. “That’s no longer true.”
AI-powered threats now operate differently. Attackers often sit dormant inside environments for months or years before taking action, making traditional prevention-focused strategies insufficient. By the time ransomware reaches backups, the damage is already done. Business continuity hinges not on stopping every attack — an impossible task — but on detecting anomalies early and recovering quickly from a clean, uncompromised copy of data.
Why detection must move to the data layer
Modern enterprises generate and rely on more data than ever. That data must stay available, uncorrupted, and trustworthy, even under attack. Yet most organizations still focus their detection efforts on the endpoint or network layer. This approach leaves a blind spot.
“We sit at the data layer, very deep in the organization,” Dunbar says. “That layer has traditionally lacked built-in detection. Adding intelligence directly to storage changes the game.”
Instead of relying solely on backup systems, modern organizations must embed threat detection into production storage, where the data actually lives. The moment an anomaly appears, the system can automatically create an immutable “snapshot” copy of the affected data. This freezes the blast radius before ransomware can spread, corrupt backups, or reach other systems. The result: Organizations gain not just visibility but also immediate control.
And when it comes to threat detection, accuracy is paramount. Organizations need a ransomware protection solution that doesn’t leave blind spots and that addresses risks across their data layer. For example, a NetApp solution was recently named the winner of the SE Labs award for Enterprise Data Protection, in part because testing showed that the capabilities of its Autonomous Ransomware Protection (ARP) provided over 99% detection accuracy for file workloads.
Accelerating recovery from months to minutes
Some organizations take weeks or months to restore data after an attack, especially if corruption has spread across multiple backup sets. But long recovery windows are not just inconvenient; they also can erupt into existential liabilities for the business.
NetApp’s approach compresses the recovery window dramatically. Because Snapshot copies are created at the instant of detection, teams can recover clean data within minutes. With the addition of Clean Restore, the Snapshot is automatically scanned for malware before being restored, preventing organizations from accidentally recovering infected data.
The real-world impact is significant. For example, when a large global architecture firm experienced a ransomware attack in its storage environment. “NetApp’s ARP was able to detect the attack and copy the data. Ultimately, we recovered 18PB of data quickly with the ARP snapshots,” the company reports. When detection is embedded at the storage layer, the blast radius of an overall attack is significantly reduced.
Other organizations echo the value of seamless resilience. Scott Sibert, director of IT at Thor Motor Coach, says he sleeps well at night, knowing that NetApp enables quick recovery.
“About 60 of our virtual machines recently went down, and we were able to recover those in about two hours,” says Silbert. “We wouldn’t have been able to recover as fast as we did without NetApp.”
For CIOs, stories like these illustrate why data-layer intelligence is becoming an indispensable part of business continuity planning.
Storage-native resilience as a strategic advantage
Embedding detection and intelligence directly into storage changes the role of infrastructure from passive repository to active defender. NetApp’s ransomware detection capabilities are built into its operating system, require no additional licensing, and are enabled with a simple toggle, making them accessible without additional complexity.
For CIOs and CISOs, the strategic implications are clear:
- Backups alone are no longer enough.
- Prevention-only strategies cannot keep pace with AI-driven threats.
- Early detection at the data layer dramatically improves resilience.
- Rapid, clean recovery is now a competitive necessity, not a future goal.
Cyber resilience is now synonymous with business resilience. And as threats evolve, an intelligent data infrastructure will define which enterprises continue operating — confidently and continuously — despite disruption.
Explore how an intelligent data infrastructure strengthens cyber resilience and accelerates clean recovery with NetApp.