Security Built Smarter

AI-ready data isn't just another IT asset—it's the engine of innovation and value creation. And it's under attack. As organizations race to scale AI from proof-of-concept to production, they're discovering a dangerous blind spot: traditional security approaches weren't designed to protect the complex, distributed nature of AI data pipelines.

• Lost competitive edge: Innovation stalls while your competitors advance
• Biased or corrupted models: Flawed business decisions and reputational damage
• Regulatory penalties: Audits fail; compliance becomes impossible
• Board scrutiny intensifies: Leadership demands answers for failed investments

Corrupting one training dataset can do more damage than locking a thousand servers. Attackers know that enterprises rushing to deploy AI often skip the basics—making data the easiest entry point. 84% of companies report rising attack-surface activity. As you scale AI across hybrid cloud environments and third-party services, your external attack surface grows exponentially. Each new environment, integration, and edge deployment creates potential vulnerabilities that traditional perimeter defenses can't protect.

A single-pane platform spanning all environments—on-premises, private clouds, and public clouds such as AWS, Azure, and Google Cloud—gives AI teams and applications seamless mobility and access to data wherever it resides, without slowing anyone down. Decouple resources to deliver exactly what AI workloads need, when they need it. Scale storage independently of compute for true cloud-native performance.

Ransomware has entered a new era—attackers target the AI initiatives your CEO has staked her reputation on as the engine of growth. When training data gets corrupted or models get encrypted, the damage extends far beyond downtime.

• 3:00 AM: Attackers gain access through a compromised vendor credential.
• 3:15 AM: Your production AI models and training datasets get encrypted.
• 3:30 AM: $5M ransom demand received.
• 6 weeks to retrain models from scratch
• $3M+ in lost revenue while AI services are down
• Regulatory scrutiny over the breach
• Board questions about successful AI attackers

• 3:00 AM: Attackers gain access through a compromised vendor credential.
• 3:01: Automated detection flags anomalous behavior in real time.
• Attackers can't encrypt protected backups
• Restore to last known-good state in under 2 hours
• AI services back online before the business day starts

Maintain immutable copies attackers can't touch, even if they succeed at taking over your network. These unchangeable copies protect more than your organization—they protect your career when the board asks if you can recover.

Identify ransomware behavior in real time at the data layer—before it spreads. Catch attacks at the earliest stage by monitoring anomalies in AI data access.

Initiate automated restoration in hours—not weeks—so you can act confidently, eliminate manual guesswork, and return quickly to a verified clean state.

Preserve model integrity, maintain customer trust, and keep AI initiatives on track—even when attacks breach your perimeter.

The organizations that win with AI won't be the ones with the most data scientists or the biggest budgets. They'll be the ones who solve the cyber resilience equation first. That means rethinking how you build your security foundation—not as an afterthought scattered across dozens of point solutions, but as a unified approach anchored at the data layer, where protection, detection, and recovery begin.

Detect threats in real-time and recover in hours, not weeks—while competitors are still assessing damage.

Unify ransomware protection, backup, disaster recovery, and governance in one foundation. Fewer tools mean fewer gaps.

Maintain protection as AI workloads span clouds and other environments. Security grows with your ambition.

Bridge security and storage teams with a shared foundation that accelerates response, detection, and recovery.

Prove compliance to boards, regulators, and customers—and build trust that turns security into an advantage.

Security leaders can keep patching tools that slow or even stall AI deployment—or they can design resilience into the data layer to scale AI value with confidence. It's time to make data security the foundation of your legacy and your company's future in AI.