TL;DR: As organisations evaluate Rubrik alternatives for data security and DSPM, the practical question is no longer just backup coverage but how discovery, classification, access governance, and recovery controls fit together, according to Netwrix. The deeper issue is that DSPM and adjacent controls solve different parts of the exposure problem, so teams need clearer boundaries before they buy.
Editorial analysis by NHI Mgmt Group, based on content published by Netwrix: “The 7 best Rubrik alternatives for data security and DSPM in 2026”.
Key questions
Q: How should security teams combine DSPM and DLP in modern data environments?
A: Use DSPM to discover and classify sensitive data, map who can access it, and identify exposure that policy may not see.
Q: What breaks when DSPM is not connected to access governance?
A: Visibility breaks before risk reduction does.
Q: What are the signs that data security tools are overlapping instead of working together?
A: Common signs include duplicate alerts, unclear ownership for remediation, and separate teams claiming the same dataset without a shared workflow.
Practitioner guidance
- Define control ownership by outcome Separate discovery, enforcement, and recovery ownership so DSPM, backup, and DLP are not treated as interchangeable capabilities.
- Map sensitive-data findings to access review workflows Route DSPM discoveries into entitlement reviews so overexposed data triggers identity remediation, not just reporting.
- Distinguish recovery from exposure control Use backup for restore assurance and DLP for movement control, then verify that neither is being asked to replace the other.
Bottom line: DSPM, backup, and DLP address different parts of the data risk problem, so teams should stop treating them as interchangeable.
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DSPM is no longer being evaluated as a point capability. The article reflects a market shift toward data security governance, where discovery, classification, access control, and recovery are treated as one operational problem rather than separate features. That changes how security leaders should assess tooling: the question is whether a control reduces exposure end to end, not whether it performs one isolated function.
A few things that frame the scale:
- Business leaders plan to spend $124 million on average on AI in 2026, and 91% say data security and risk will shape their AI strategy.
A question worth separating out:
Q: Who should own data security governance when DSPM, backup, and DLP overlap?
A: Ownership should follow the control outcome, not the product category. Discovery belongs with the team that can classify and prioritise exposure, enforcement with the team that can block or limit access, and recovery with the team responsible for restore assurance and resilience.
👉 Read our full editorial: DSPM alternatives reflect a shift toward broader data security governance