Compare
Inspection before the vault. Inspection inside the vault. One inspects. One infers. CyberSense answers "does this data inside the vault look statistically anomalous." Elastio answers "does this file show any sign of ransomware" before data gets vaulted.
CyberSense and Elastio look at backup data from different positions in the pipeline. The architecture difference shows up in coverage, signal quality, and operational footprint.
CyberSense
"Does the data inside the vault look statistically anomalous?"
Outcome: post-vault statistical inference on a single-vendor stack
Elastio
"Does this file show any sign of ransomware?"
Outcome: provable recovery before corruption reaches the vault
Stages of Inspection
The vault is the last line of defense. CyberSense can only inspect what has already landed there. Elastio inspects before the data crosses the boundary, and again inside as an additional check.
Stage 1
Elastio inspects backup data before it is replicated into the vault. Corruption identified at this stage never lands inside the isolated tier. CyberSense has no equivalent control. Inspection begins only after vault ingress.
Stage 2
Elastio can also run Deep File Inspection inside the vault in an isolated clean room. No new accounts in the vault. No persistent compute. Inspection completes, results are written back, and the clean room is torn down.
The architecture in one line
Scanning the vault tells you what already landed inside. Hunting at first write tells you what should never land in the vault.
Signal Quality
CyberSense applies a large catalog of statistical features to backup content. A high feature count produces a high alert count. SOC teams running these tools at enterprise scale see this firsthand.
Compressed logs, database extents, encrypted application traffic, and routine content updates all generate signals that look like ransomware on a feature-by-feature basis. The result is alert volume that SOC teams cannot triage at scale.
Each estate requires calibration. Each upgrade cycle requires regression testing. Operational dependence on a single vendor product version becomes its own exposure.
A flagged anomaly is not a named threat. SOC teams must determine whether the signal indicates ransomware, a benign content shift, or noise, which adds additional operational overhead to already-over-stretched teams.
Elastio's Hunt engine names the ransomware family, identifies the encryption pattern, and identifies the last verified clean copy to recover from. Fewer than 5 false positives per 10 million files inspected. No interpretation step. No tuning.
Capability Comparison
Capability rows reflect Dell PowerProtect Cyber Recovery and Index Engines CyberSense public documentation as of May 2026.
| Capability | CyberSense | Elastio |
|---|---|---|
| Architecture | ||
| Cloud-native, auto-scaling control plane | - | ✓ |
| Native parity across AWS, Azure, IBM Cloud, and on-prem | - | ✓ |
| Backup-agnostic across Commvault, Veeam, Rubrik, Cohesity, NetApp | - | ✓ |
| Tightly coupled to a single backup vendor stack | ✓ | - |
| Per-server architecture with manual load balancing | ✓ | - |
| Where Inspection Happens | ||
| Inspection before data lands in the vault | - | ✓ |
| Inspection inside the vault in an isolated clean room | ~ | ✓ |
| Inspection of live data on production systems | - | ✓ |
| Inspection of replicated data and snapshots | - | ✓ |
| Inspection of backup data | ✓ | ✓ |
| Detection Methodology | ||
| Deep File Inspection that opens and examines file contents | ~ | ✓ |
| Statistical and content-based feature analysis | ✓ | ~ |
| Deterministic pass or fail per file, per recovery point | - | ✓ |
| Named threat output with ransomware family identification | - | ✓ |
| Intermittent encryption detection | ~ | ✓ |
| Low-entropy encryption detection | ~ | ✓ |
| Zero-day ransomware detection without known signature | ~ | ✓ |
| Operational Footprint | ||
| No new accounts or access paths into the vault | - | ✓ |
| Ephemeral compute. No persistent scanner infrastructure inside the vault | - | ✓ |
| Auto-scaling to zero when no Hunt jobs are queued | - | ✓ |
| SOC interpretation step required to determine threat type | ✓ | - |
| Threshold tuning required to manage false positive volume | ✓ | - |
| Recovery Assurance | ||
| Last Known Clean recovery point, continuously maintained | - | ✓ |
| Resilience RPO (R-RPO) measurement | - | ✓ |
| Provable recovery compliance reporting for regulators and auditors | - | ✓ |
| Recovery context survives loss of SaaS portal | ~ | ✓ |
Proof of Concept
Thirty minutes. Your data. Your existing detection in place. We show you exactly what your current control catches and what it does not.
1
Your current CyberSense deployment runs against a data set containing intermittent and low-entropy encrypted files, alongside benign content known to trigger statistical features. You see what it surfaces and how the alerts look to your SOC.
2
Elastio Hunt Engine runs against the same data, before vault ingress and inside the vault. Corruption is confirmed. The Last Known Clean recovery point is identified. The ransomware family is named.
3
Side by side output. Alert volume, false positive count, confirmed clean recovery point, named threat detail, and R-RPO exposure. Documented. Timestamped. Audit ready.
If no material gap is found, you retain validated confirmation of your current posture. If a gap is found, you reduce recovery exposure before an adversary tests those assumptions.
30 minutes. We run the demo in your environment.
CyberSense answers "does this data inside the vault look statistically anomalous." Elastio answers "does this file show any sign of ransomware" before data gets vaulted.
CyberSense runs analytics after data lands in the Dell PowerProtect Cyber Recovery vault. It can only inspect what has already been replicated into the vault.
Elastio inspects backup data before it is replicated into the vault, so corrupted data never lands inside the isolated tier. The same Deep File Inspection optionally runs inside the vault in an isolated clean room.
Elastio runs Deep File Inspection inside the vault in an isolated clean room. No new accounts in the vault. No persistent compute. Inspection completes, results are written back, and the clean room is torn down.
Elastio's Hunt engine produces fewer than 5 false positives per 10 million files inspected. It names the ransomware family, identifies the encryption pattern, and identifies the last verified clean copy to recover from. No interpretation step. No tuning.
No. CyberSense is tightly coupled to PowerProtect Data Domain and the Cyber Recovery workflow. Elastio is backup-agnostic and hunts across Commvault, Veeam, Rubrik, Cohesity, NetApp, S3, Blob, and AWS Backup.
CyberSense has limited native cloud parity. It uses a per-server architecture with no cloud-native orchestration and an on-prem appliance footprint. Elastio is cloud-native and auto-scaling, with the same control across AWS, Azure, IBM Cloud, and on-prem.
No. Elastio uses ephemeral compute with no persistent scanner infrastructure inside the vault. It auto-scales to zero when no Hunt jobs are queued and creates no new accounts or access paths into the vault.
References
All product capabilities are current as of May 2026 and sourced from public documentation. Elastio is not affiliated with or endorsed by Dell Technologies or Index Engines. CyberSense is a trademark of Index Engines.