Introducing Elastio for Amazon FSx for NetApp ONTAP Filers

The Rise of Off-Platform Encryption Modern ransomware attacks no longer follow a predictable script. Today’s adversaries are methodical and adaptive. They move laterally, identify valuable data, and increasingly attempt techniques designed to evade traditional detection controls. One scenario highlighted in recent threat reporting involves attackers transferring data from a storage array to an unmanaged host, encrypting it outside the production platform, and then writing the encrypted data back. The Illusion of Evasion On the surface, this appears clever. If encryption happens “off platform,” perhaps it avoids detection mechanisms tied to the storage system itself. Security teams may assume that because the encryption process did not execute within the storage environment, it leaves fewer indicators behind. That assumption does not hold up. Why Location Doesn’t Matter The critical point is that ransomware is not dangerous because of where encryption executes. It is dangerous because of what encryption does to data. When attackers copy files to an unmanaged system, encrypt them externally, and then reintroduce them into the environment, the storage platform may simply register file modifications. Blocks are written, files are updated, and nothing may appear operationally unusual at first glance. Encryption Leaves a Mark But the data itself has fundamentally changed. Elastio does not depend on observing the act of encryption. It does not require visibility into the unmanaged host. It does not rely on detecting specific attacker tools or processes. Instead, Elastio evaluates the integrity and structure of the data itself. When encrypted data is written back into a protected environment, it exhibits clear mathematical characteristics. There is high entropy, loss of expected file structure, destruction of known signatures, and transformation from meaningful structured content into statistically random output. Those changes are measurable and immediately identifiable. In an enterprise cloud environment, when encrypted files are reintroduced after off-platform manipulation, Elastio detects the anomaly as soon as the altered data is analyzed. The system recognizes that the file state no longer matches expected structural norms. Compromised data is flagged right away. Clean recovery points are preserved and confidence in restoration remains intact. Protecting Recovery Before It’s Too Late This matters because backup compromise is now a primary objective of modern ransomware groups. Attackers understand that if they can corrupt recovery data, they dramatically increase pressure to pay. Off-platform encryption is one way they attempt to quietly poison what organizations believe are safe restore points. Elastio prevents that silent corruption from spreading undetected. The architectural advantage is straightforward. Elastio focuses on validating the recoverability and integrity of backup data continuously. It does not chase attacker techniques, which evolve constantly. It analyzes outcomes, which cannot hide. Even if encryption occurs halfway around the world on infrastructure the organization never sees, the reintroduced data cannot disguise its cryptographic fingerprint. The mathematical properties of encryption are universal. They do not depend on vendor, platform, or geography. As soon as that altered data touches protected storage, the signal is present. Attackers may change tools, infrastructure, and tradecraft. They may leverage unmanaged hosts, cloud workloads, or insider access. They may try to fragment, stagger, or throttle their activity to avoid behavioral alarms. None of that changes what encrypted data looks like when examined structurally. Verification Is the Advantage That is why outcome-based detection matters. By analyzing the data itself rather than the surrounding activity, Elastio removes the blind spots attackers attempt to exploit. Off-platform encryption is simply another variation of the same fundamental tactic: render data unusable while attempting to evade detection. When encrypted content re-enters the environment, it is seen immediately for what it is. In cybersecurity, assumptions create risk. Verification creates resilience.

The False Security of Checked BoxesIn the high-stakes world of cyber-recovery, there is a dangerous assumption that "detection" is a binary state, either you have it or you don’t. Most backup vendors have checked the box by offering anomaly and entropy-based monitoring. But as a CISO who has spent over a decade in regulated industries, I’ve learned that a check-box control is often worse than no control at all. It creates a false sense of security while delivering a signal so noisy and inaccurate that it’s practically unusable. The Inaccuracy Problem: Inference Is Not Evidence The core issue with the ransomware detection provided by backup vendors isn’t just where it happens; it’s how it happens. These tools rely on statistical inference rather than data evidence: Anomaly Detection: Monitors for “unusual” behavior, like a sudden spike in changed blocks or a deviation in backup window duration.Entropy Detection: Measures data randomness to infer encryption. In a modern enterprise, data is naturally “noisy.” Compressed database logs, encrypted video files, and standard application updates all register as anomalies or high-entropy events. Because these tools cannot distinguish between a legitimate .zip file and a ransomware-encrypted .docx, they produce a constant stream of false positives. Figure 1: Modern ransomware (red) operates below the statistical noise floor while legitimate enterprise data generates constant false-positive noise. Elastio detects threats through structural content inspection, independent of entropy. For a SOC team, this noise is toxic. When a tool is consistently inaccurate, the human response is predictable: the alerts are muted, tuned down, or ignored. If your “last line of defense” relies on a signal that your team doesn’t trust, you don’t actually have a defense. Beyond the “Big Bang”: The Rise of Evasive Encryption Current anomaly and entropy tools were designed for the "Big Bang" encryption events of years past. As of 2026, threat actors have evolved well beyond this model, with variants including LockFile specifically engineered to stay below the statistical noise floor using intermittent encryption. Intermittent Encryption: Encrypting every other 4KB block so the overall entropy change remains negligible.Low-Entropy Encryption: Using specialized schemes that mimic the statistical signature of benign, compressed data.Selective Corruption: Attacking only file headers or metadata while leaving the bulk of the file statistically “normal.” Against these techniques, a statistical guess is useless. You need a Data Integrity Control that performs deep content inspection to validate the actual structure of the data, not just its randomness. Mapping Integrity to the Resilience Lifecycle A high-fidelity integrity engine, like Elastio, provides the same level of accuracy regardless of where it is deployed. However, for a CISO, the location of that check is a strategic decision based on the Resilience Lifecycle: The Backup Layer: Validating integrity here is non-negotiable. It ensures that when you hit “restore,” you aren’t re-injecting corrupted data into your environment and extending downtime.The Production Layer (VMs, Buckets, Filers): For mission-critical data, waiting for the backup cycle to run is a luxury we can’t afford. Detecting corruption at the source, in your production VMs, S3 buckets, or filers, is about minimizing the blast radius. Data integrity validation serves different purposes depending on where it is applied in the resilience lifecycle. Scanning production data across VMs, filers, and object stores is the most effective way to minimize blast radius and prevent spread, because it detects corruption before it propagates downstream. When production data cannot be scanned due to security boundaries, operational constraints, or tenancy limitations, snapshots and replicas become the practical control point for achieving the same outcome. In this model, snapshot integrity analysis is not additive to production scanning; it is a substitute. Both serve the same objective: early detection and containment before corruption reaches backups or immutable storage. The CISO’s Bottom Line: Proving vs. Guessing Resilience is measured by the speed and certainty of recovery. Anomaly and entropy-based detection fail on both counts: they are too inaccurate to provide certainty and too late to provide speed. True resilience requires moving from statistical inference to data integrity validation. Whether validating backups to prove recoverability or monitoring production data to prevent spread, the objective is the same: replace guessing with proof. In regulated environments, “recovery is safe” is the only defensible statement a CISO can make to the board. The ability to detect these advanced threats early is the difference between being able to ensure fast recovery versus a ransomware event that results in devastating downtime, data loss, and financial impact.

Cloud ransomware incidents rarely begin with visible disruption. More often, they unfold quietly, long before an alert is triggered or a system fails. By the time incident response teams are engaged, organizations have usually already taken decisive action. Workloads are isolated. Instances are terminated. Cloud dashboards show unusual activity. Executives, legal counsel, and communications teams are already involved. And very quickly, one question dominates every discussion. What can we restore that we actually trust? That question exposes a critical gap in many cloud-native resilience strategies. Most organizations have backups. Many have immutable storage, cross-region replication, and locked vaults. These controls are aligned with cloud provider best practices and availability frameworks. Yet during ransomware recovery, those same organizations often cannot confidently determine which recovery point is clean. Cloud doesn’t remove ransomware risk — it relocates it This is not a failure of effort. It is a consequence of how cloud architectures shift risk. Cloud-native environments have dramatically improved the security posture of compute. Infrastructure is ephemeral. Servers are no longer repaired; they are replaced. Containers and instances are designed to be disposable. From a defensive standpoint, this reduces persistence at the infrastructure layer and limits traditional malware dwell time. However, cloud migration does not remove ransomware risk. It relocates it. Persistent storage remains long-lived, highly automated, and deeply trusted. Object stores, block snapshots, backups, and replicas are designed to survive everything else. Modern ransomware campaigns increasingly target this persistence layer, not the compute that accesses it. Attackers don’t need malware — they need credentials Industry investigations consistently support this pattern. Mandiant, Verizon DBIR, and other threat intelligence sources report that credential compromise and identity abuse are now among the most common initial access vectors in cloud incidents. Once attackers obtain valid credentials, they can operate entirely through native cloud APIs, often without deploying custom malware or triggering endpoint-based detections. From an operational standpoint, these actions appear legitimate. Data is written, versions are created, snapshots are taken, and replication occurs as designed. The cloud platform faithfully records and preserves state, regardless of whether that state is healthy or compromised. This is where many organizations encounter an uncomfortable reality during incident response. Immutability is not integrity Immutability ensures that data cannot be deleted or altered after it is written. It does not validate whether the data was already encrypted, corrupted, or poisoned at the time it was captured. Cloud-native durability and availability controls were never designed to answer the question incident responders care about most: whether stored data can be trusted for recovery. In ransomware cases, incident response teams repeatedly observe the same failure mode. Attackers encrypt or corrupt production data, often gradually, using authorized access. Automated backup systems snapshot that corrupted state. Replication propagates it to secondary regions. Vault locks seal it permanently. The organization has not lost its backups. It has preserved the compromised data exactly as designed. Backup isolation alone is not enough This dynamic is particularly dangerous in cloud environments because it can occur without malware, without infrastructure compromise, and without violating immutability controls. CISA and NIST have both explicitly warned that backup isolation and retention alone are insufficient if integrity is not verified. Availability testing does not guarantee recoverability. Replication can accelerate the blast radius Replication further amplifies the impact. Cross-region architectures prioritize recovery point objectives and automation speed. When data changes in a primary region, those changes are immediately propagated to disaster recovery environments. If the change is ransomware-induced corruption, replication accelerates the blast radius rather than containing it. From the incident response perspective, this creates a critical bottleneck that is often misunderstood. The hardest part of recovery is deciding what to restore The hardest part of recovery is not rebuilding infrastructure. Cloud platforms make redeployment fast and repeatable. Entire environments can be recreated in hours. The hardest part is deciding what to restore. Without integrity validation, teams are forced into manual forensic processes under extreme pressure. Snapshots are mounted one by one. Logs are reviewed. Timelines are debated. Restore attempts become experiments. Every decision carries risk, and every delay compounds business impact. This is why ransomware recovery frequently takes days or weeks even when backups exist. Boards don’t ask “Do we have backups?” Boards do not ask whether backups are available. They ask which recovery point is the last known clean state. Without objective integrity assurance, that question cannot be answered deterministically. This uncertainty is not incidental. It is central to how modern ransomware creates leverage. Attackers understand that corrupting trust in recovery systems can be as effective as destroying systems outright. What incident response teams wish you had is certainty What incident response teams consistently wish organizations had before an incident is not more backups, but more certainty. The ability to prove, not assume, that recovery data is clean. Evidence that restoration decisions are based on validated integrity rather than best guesses made under pressure. Integrity assurance is the missing control This is where integrity assurance becomes the missing control in many cloud strategies. NIST CSF explicitly calls for verification of backup integrity as part of the Recover function. Yet most cloud-native architectures stop at durability and immutability. When integrity validation is in place, recovery changes fundamentally. Organizations can identify the last known clean recovery point ahead of time. Recovery decisions become faster, safer, and defensible. Executive and regulatory confidence improves because actions are supported by evidence. From an incident response standpoint, the difference is stark. One scenario is prolonged uncertainty and escalating risk. The other is controlled, confident recovery. Resilience is proving trust, not storing data Cloud-native architecture is powerful, but ransomware has adapted to it. In today’s threat landscape, resilience is no longer defined by whether data exists somewhere in the cloud. It is defined by whether an organization can prove that the data it restores is trustworthy. That is what incident response teams see after cloud ransomware. Not missing backups, but missing certainty. Certainty is the foundation of recovery And in modern cloud environments, certainty is the foundation of recovery.