Don't feel too pleased that you just completed your quarterly cybersecurity audit; today's attackers are moving faster than you are.
Ransomware thieves in particular run a long race to destroy your data. It starts with a stealth attack to gain a foothold in your system, and then spreads quietly through your IT infrastructure. They'll steal as much data as they can in the process, possibly over months, before finally pulling the encryption trigger. Then, it's a breakneck race to see who can get to the data first; the attackers or the defenders. If the attackers get there first, they'll scramble your data. Then they'll delete your backups.
What makes it worse is that the finish line isn't in one place. That data is spread everywhere, from the server room at HQ to the cloud and to regional branches at the edge. Criminals who have spent weeks mapping all of these locations will be further ahead of you when the race really begins.
The best way for security teams to win the race is to put themselves at the finish line before the race begins. That's why protection must sit close to the data, not just on a server half a network away. Ideally, it sits embedded directly in your data storage.
Modern storage platforms already include some preventative protections baked in, such as encryption to avoid data theft, snapshots to preserve data, replication to avoid localized outages, and access controls. But attackers have an answer for each of those, ranging from hijacking a privileged account to corrupting snapshots over time, or simply deleting your data. True defense in depth against cybercriminals means expanding protections to spot attacks as they happen. That's why intelligent threat detection has joined the list of protections embedded directly in modern storage.
What modern embedded threat intelligence looks like
Ransomware thieves are using more subtle techniques than simple sequential read and write to encrypt data. So threat prevention techniques have evolved too. That's where the intelligence comes in. Here are some examples:
Deep content scanning
The best threat protection scans actual file content, not just metadata. That enables it to catch what surface-level tools miss, such as encrypted content and SQL page corruption.
Machine learning anomaly detection
Machine learning watches your backups 24/7 and flags weird patterns the second they appear. These include patterns in capacity, but also performance. For example, a sudden I/O spike could be encryption. This enables the storage to quarantine suspicious copies and generate reports for the security team. Good vendors include this capability as standard.
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Embedded intelligent threat detection lets administrators set custom triggers for anything suspicious, including data patterns, infrastructure behavior, and activity on honeypots or decoys. Look for storage platforms that let you tune these.
Keeping watch, 24/7
It isn't enough for an analyst to watch your infrastructure from a central location. Thanks to the growing ransomware threat, your infrastructure also has to watch itself. This is a form of zero trust, which dictates assuming compromise and adding protection as close to your assets as possible. Start with backups. Add MFA, role locks, immutable snapshots, and encryption everywhere. But an extra layer of intelligent threat analysis at the source puts yet another barrier in the path of a determined attacker.
The next 12 months will bring massive on-premises storage upgrades, with 83% of IT teams already planning them to handle AI workloads.[1] But there's an opportunity to rebuild security while you're at it. Make protection an invisible part of your infrastructure. When attackers don't see it coming, it puts you at an advantage.
[1] Source: Enterprise Strategy Group Complete Survey Results: The Critical Role of Storage in Building an Enterprise AI Infrastructure , September 2025. All the research stats in in this article are from this study.