Samsung · Filed May 1, 2025 · Published Nov 5, 2026

Samsung Patents an AI Guard Built Into Your Storage Drive to Stop Ransomware

Most ransomware defense runs inside your operating system, which is exactly what attackers try to switch off. Samsung's filing puts the watchdog inside the storage drive itself.

A system that spots when a hacker tries to lock files and warns the computer owner right away. Drawing from patent filing US 2026/0350167 A1.
A system that spots when a hacker tries to lock files and warns the computer owner right away.
See all 14 drawings from this filing ↓
Publication number US 2026/0350167 A1 US20260350167A1
Applicant SAMSUNG ELECTRONICS CO., LTD.
Filing date May 1, 2025
Publication date Nov 5, 2026
Inventors Amit Berman, Elisha Halperin, Evgeny Blaichman
US classification 726/23
Examiner ARYAL, AAYUSH (Art Unit 2435)
Status when we published Approved; patent expected soon (Oct 6, 2026)
Document 20 claims

What Samsung's ransomware-spotting drive does

Ever wonder what stops ransomware from just switching off your antivirus app? Often, not much. Ransomware is the attack that scrambles your files and demands payment, and the protection software running on your computer can be a target too.

Samsung's patent application moves the lookout into the storage drive, the part of your computer where files actually live. Every time something asks the drive to read or write data, an AI model looks at that request along with the ones just before it and decides whether it looks like an attack. The drive can then refuse the request, sound an alarm, or shut the attack down.

Because the checker lives inside the drive, malware has a harder time reaching it. And because it judges each request individually, it doesn't have to wait for a pile of statistics to build up before it spots trouble.

From the filing · CLAIM 1
… generating, using a transformer model, ransomware information, indicating a presence or an absence of a ransomware attack on the memory device, for each of the memory commands …

Translation: An artificial intelligence model analyzes every single drive instruction to check for malicious activity.

How the model scores every storage command

The claims cover a method, a storage medium holding code, and a device with a memory and a processor, all built around the same steps. The system takes a sequence of memory commands (the read and write instructions a drive receives) and feeds them to a transformer model (the type of AI behind modern chatbots, good at reading a sequence and tracking how each item relates to the others). The model produces a ransomware verdict for each command, and the system runs some or all of the commands based on those verdicts.

Before the AI sees a command, the filing turns it into small pieces of data called tokens. Examples include:

  • A timestamp, the block address (where on the drive the data sits), the number of blocks, and whether it is a read or a write
  • A file path and a process ID (which program sent the command)
  • A label for patterns such as write after read, found by checking a history of recent commands

Each command also gets a position marker so the model knows the order, then a self-attention step lets every command in the window weigh every other one. One example uses a window of 1,000 commands that slides forward 500 at a time, with three stacked layers. The output is either a yes-or-no flag per command or one number from 0 to 1 showing what share of commands look malicious.

A flagged command can be refused, set off an alarm, or have the attack shut down.

Why Samsung wants ransomware defense in the drive

Ransomware hits businesses hardest, and the filing points out that companies are moving more of their data onto fast SSDs, which makes those drives a more tempting target. A watchdog inside the drive could keep working even after an attacker has taken over the operating system, and it could stop a bad command before it overwrites your files. For you, that would mean a drive that helps defend itself.

The patent office has approved this application, and once Samsung pays the final fee it should be issued as a granted patent. The filing says tests showed better performance than conventional systems but gives no numbers, so how well this works in real use is still unknown.

Samsung's 39th filing we've tracked since June in our next-generation SSD patents builds on earlier work like one on failure prediction privacy and one on backup power for drives.

Editorial take

Claim 1 is short and wide. It asks for three things: a sequence of storage commands, a transformer model that gives a ransomware verdict for each command, and a device that runs the commands based on those verdicts. It never mentions an SSD, a window size, a file path, or an alarm.

Those details show up only in later claims. So the main claim describes any storage setup where a transformer scores commands one by one and the result decides what runs. The firm limits are the model type and the per-command verdict. A detector built on another kind of model would sit outside the wording of claim 1, and so would a tool that only reviews summary statistics.

Once issued, the claim would apply to any drive that follows that recipe. Whether that matters depends on whether transformers turn out to be the right tool for this job, and the filing offers no accuracy numbers to settle it.

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The drawings

14 drawing sheets from US 2026/0350167 A1 · click any drawing to enlarge

Warning a user when an attack targets storage, drawing sheet 1 from US 2026/0350167 A1
Sheet 1 Warning a user when an attack targets storage
An AI screening process that catches malicious drive write requests, drawing sheet 2 from US 2026/0350167 A1
Sheet 2 An AI screening process that catches malicious drive write requests
The AI model stages that evaluate incoming drive instructions, drawing sheet 3 from US 2026/0350167 A1
Sheet 3 The AI model stages that evaluate incoming drive instructions
Internal computing circuits that spot attack patterns in data flow, drawing sheet 4 from US 2026/0350167 A1
Sheet 4 Internal computing circuits that spot attack patterns in data flow
Hardware parts inside the device running the security tool, drawing sheet 5 from US 2026/0350167 A1
Sheet 5 Hardware parts inside the device running the security tool
Circuits that manage data storage inside flash memory, drawing sheet 6 from US 2026/0350167 A1
Sheet 6 Circuits that manage data storage inside flash memory
How storage cells stack inside a solid-state drive, drawing sheet 7 from US 2026/0350167 A1
Sheet 7 How storage cells stack inside a solid-state drive
Blocking harmful storage commands after detecting a threat, drawing sheet 8 from US 2026/0350167 A1
Sheet 8 Blocking harmful storage commands after detecting a threat
Show the other 6 sheets
Details extracted from drive commands to spot attack patterns, drawing sheet 9 from US 2026/0350167 A1
Sheet 9 Details extracted from drive commands to spot attack patterns
Comparing current drive actions against recent history, drawing sheet 10 from US 2026/0350167 A1
Sheet 10 Comparing current drive actions against recent history
Translating a single drive instruction into AI data, drawing sheet 11 from US 2026/0350167 A1
Sheet 11 Translating a single drive instruction into AI data
Formatting a sequence of file activities for inspection, drawing sheet 12 from US 2026/0350167 A1
Sheet 12 Formatting a sequence of file activities for inspection
Flagging infected operations to calculate attack risk, drawing sheet 13 from US 2026/0350167 A1
Sheet 13 Flagging infected operations to calculate attack risk
Steps for teaching the security AI to recognize threats, drawing sheet 14 from US 2026/0350167 A1
Sheet 14 Steps for teaching the security AI to recognize threats
Browse all the drawings 14 drawing sheets
Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.
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