AI Ransomware Accelerates ─ Time to Hit the Breaks and Do More Than Just Backup

AI has transformed cyberattacks, exposing and exploiting the weaknesses of conventional data protection and reliance on traditional data backup. AI-driven attacks, such as AI ransomware, have evolved. Up until recently, cybersecurity teams measured response windows in weeks or days, but they are now forced to operate well within a single-digit-day clock – hour by hour, minute by minute. As the clock ticks, every hour of that window is being squeezed tighter by the use of AI by cybercriminals.

AI-driven ransomware can now penetrate and completely reach data exfiltration in an enterprise organization in as little as 72 minutes, according to the 2026 Unit 42 Global Incident Response Report. And approximately 75% of ransomware intrusions in the past year involved data exfiltration – the unauthorized, covert transfer of sensitive data – along with encryption. AI exfiltrates data 100 times faster than human operators, creating a formidable challenge for enterprises.

When every phase of a ransomware extortion campaign is accelerated and automated by AI, the window for IT teams to intervene collapses to almost no time. Near-instantaneous cyber recovery of data is only made possible through an innovation called cyber storage resilience, which combines cybersecurity capabilities with enterprise storage to secure data infrastructure.

With enterprises under constant threat of ransomware and malware attacks, CIOs and CISOs are tasked with managing major data recovery events ─ and they need a cyber resilient storage solutions partner they can trust. They need to be able to optimize the next generation of data security with immutability, predictive capabilities, and proven recovery strategies, while mitigating risk and the effects of cyberattacks.

Not Even Thinking about Enterprise Storage?

From a storage perspective, AI is a transformational workload, and the cybercriminals know this fact, too. If you use AI for your supply chain or your finance management or your HR function, and you’re using a traditional workflow and workloads software, such as Oracle, SAP, MongoDB and Apache Cassandra, the cybercriminals will go after those systems. Just because you automated those workflows and workloads with AI, it doesn’t mean they are well protected.

AI has become another attack vector for cybercriminals. It is incorrect to think that, if it’s AI, it’s somehow “impervious” to attack. AI is just as much subject to attack as all the traditional workloads. And those attacks are becoming faster and more sophisticated. Enterprises need to move beyond just traditional prevention.

It’s all about data, whether AI or old-style workloads. The hackers are pursuing the data, which is, of course, stored in enterprise storage systems. However, storage is often overlooked by business and IT leaders within enterprises.

IT leaders and their technical teams often look to the edge, networks or servers that are running those applications and workloads. When they think about the security operations center or cybersecurity applications, such as SIEM and SOAR, they don’t even think of storage.

What often happens is that IT teams do not even think of storage until there is a cyberattack. They say, “Oh gosh, we have to recover our data.” (They may also use a few other choice words.)

This “blind spot” is hurting enterprises. But the good news is that it’s fixable. Here’s what you need to do:

1. Make sure that cyber storage resilience is incorporated into your corporate cybersecurity strategy.
2. Make sure that you are proactive to secure your storage infrastructure.
3. Make sure that you are executing cybersecurity on your storage devices.
4. Make sure you are cyber-securing both primary storage and secondary backup storage.
5. Be intentional to determine what workloads and what data sources that feed into the AI workloads must be protected.
6. Look to integrate your Security Operations Center (SOC) and cybersecurity applications (SIEM and SOAR) with enterprise storage via a reliable, simple API.
7. Use AI and machine learning (ML) in a cyber detection capability to scan your immutable snapshots – which are unchangeable and cannot be deleted – for ransomware, malware or any other anomalous patterns and identify a known good copy of data.

Then you can do a rapid recovery of the data in the aftermath of an AI-optimized cyberattack. It’s now possible to recover approximately 10 petabytes of data in a mere four seconds. This was unheard-of just a few short years ago. Cyber resilient enterprise storage technology has come a long way.

Key Takeaway

Everything your enterprise does revolves around data, including those new AI workloads. If you don’t have cyber resilience across your AI workloads and the datasets that feed into those workloads, you are leaving yourself open to being deeply affected by a major cyber threat from cybercriminals, who will use AI-driven cyberattacks against you in a heartbeat.

You need to build cyber storage resilience into your data infrastructure to make rapid recovery from AI-powered cyberattacks possible, restoring a known good copy of data and ensuring your enterprise’s business continuity.

Make your storage estate cyber secure; before it’s too late.