TL;DR: Varonis alternatives are being evaluated less on data visibility alone and more on identity security depth, real-time blocking, deployment flexibility, and total cost of ownership, according to Netwrix's guide, noting cloud account compromise rose from 16% to 46% between 2020 and 2025 in its 2025 Cybersecurity Trends Report. The practical shift is clear: data security platforms now have to contend with identity as the attack path, not just the place where evidence appears.
At a glance
What this is: A 2026 comparison of eight Varonis alternatives, with identity security and deployment flexibility as the main decision points.
Why it matters: It matters because IAM, NHI, and data security teams are increasingly evaluating whether a data platform can also detect, block, and govern identity-driven access paths.
By the numbers:
- cloud account compromise nearly tripled between 2020 and 2025, rising from 16% to 46%
👉 Read Netwrix's comparison of Varonis alternatives for identity and data security
Context
Identity security and data security are often treated as separate disciplines, but this article argues that separation is increasingly artificial. When attackers compromise credentials to reach sensitive data, the control gap starts in identity, even if the evidence appears in the data layer. For teams comparing Varonis alternatives, the real question is whether the platform can see and stop identity-driven access before sensitive data is exposed.
The market pressure comes from three directions at once: cloud migration, hybrid deployment requirements, and demand for real-time response rather than detection-only alerting. That combination pushes practitioners to assess not just coverage breadth, but whether a platform can help with identity threat detection, privileged access control, and operational simplicity across environments.
Key questions
Q: How should security teams evaluate data security platforms for identity-led attacks?
A: Teams should test whether the platform can see identity compromise as early as possible, not just the resulting data access. That means checking for ITDR, privileged access controls, and real-time blocking, then confirming those controls work across the actual environments where sensitive data lives, including hybrid and on-premises estates.
Q: Why do compromised credentials create a bigger problem than data visibility alone can solve?
A: Because the attack begins at the identity layer. If an attacker logs in with valid credentials, a data-only platform may only observe the access after privileges have already been abused. The control gap is earlier in the chain, where identity threats can still be stopped before sensitive data is touched.
Q: What should organisations look for when comparing hybrid security platforms?
A: They should verify deployment flexibility, coverage across Microsoft and non-Microsoft environments, and whether the tool can support both identity security and data security without forcing separate vendors. A practical comparison should include time to deploy, blocking capability, and how well the platform handles on-premises and cloud estates together.
Q: Who should own the decision when identity security and data security overlap?
A: The decision should be shared across IAM, PAM, data security, and security architecture teams because the control boundary is shared. When credentials are the entry point and data is the target, ownership has to cover both the identity lifecycle and the response model, otherwise gaps get left between teams.
Technical breakdown
Why detection-only data security leaves an identity gap
Data security platforms often observe the outcome of an attack after access has already been granted. If an attacker authenticates with stolen credentials, the platform may classify or alert on the resulting file access, but it does not necessarily detect the credential compromise, privilege escalation, or account abuse that enabled it. That is why identity threat detection and response, or ITDR, matters alongside DSPM. It shifts the control point earlier in the kill chain, where compromised credentials can still be blocked or contained before data movement begins.
Practical implication: evaluate whether your platform detects identity abuse before data access, not only after sensitive files are touched.
Deployment flexibility affects security coverage and time to value
A platform's deployment model shapes what it can actually see and where it can operate. Cloud-only tools may fit public-cloud estates well, but they often leave on-premises file servers, databases, and Active Directory outside their visibility. Hybrid environments need tools that can span multiple execution planes without forcing a migration decision first. For identity and data security programs, deployment flexibility is not just procurement detail. It determines whether controls can be applied consistently across the full estate or only in the environments the vendor prefers.
Practical implication: map the platform's deployment model to your actual estate before treating coverage claims as complete.
Real-time blocking changes the response model
Detection tells you an event happened, but blocking stops the event from completing. In identity-led attacks, that distinction is decisive because a malicious change to access, privileges, or directory state can take effect in seconds. Real-time blocking is especially relevant where a security team does not have continuous manual coverage, because it reduces dependency on human triage windows. In practice, the architectural difference is whether the platform can interrupt a policy-violating action at the point of execution or only report it afterwards.
Practical implication: prioritize controls that can stop abusive identity actions in-line, not just generate alerts for later review.
Threat narrative
Attacker objective: The attacker wants to turn valid identity access into unauthorized visibility, control, or theft of sensitive data.
- Entry occurs when attackers obtain or reuse compromised credentials to reach the environment through a legitimate identity path.
- Escalation follows as the compromised account is used to expand access, reach more sensitive data, or move into higher-value systems.
- Impact arrives when the attacker can exfiltrate, alter, or disrupt sensitive information before defenders can intervene.
Breaches seen in the wild
- MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
- IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Identity security is now the deciding layer in data security evaluation. The guide is really about a control shift, not a feature comparison. If attackers enter through credentials, then data visibility alone is not enough to stop them. The implication is that practitioners should stop treating DSPM, ITDR, PAM, and DLP as separate buying tracks when the attack path is already connected.
Cloud account compromise is no longer an edge case, it is a mainstream access pattern. Netwrix cites a rise from 16% to 46% between 2020 and 2025 in its Cybersecurity Trends Report. That scale changes the evaluation lens for IAM and security teams because the question is no longer whether identity-led attacks happen, but whether the platform can respond fast enough to matter.
Real-time blocking is the operational dividing line between observation and control. A platform that can only detect suspicious activity still leaves the defender dependent on humans to close the gap. That matters in hybrid estates where data access can move quickly across file servers, Microsoft 365, cloud storage, and directories. Practitioners need to ask where control ends and alerting begins.
Deployment flexibility is now an identity governance issue, not just an infrastructure preference. When on-premises support is on a sunset path or hybrid visibility is uneven, governance decisions become constrained by vendor architecture rather than enterprise need. The implication is that programme owners should re-evaluate whether the platform can support the environments where identity risk actually exists.
From our research:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which helps explain why identity exposure remains so hard to contain.
- For a broader control baseline, see 52 NHI Breaches Analysis, which shows how these failures repeat across real incidents.
What this signals
Identity-led data protection programmes should expect the boundary between DSPM and ITDR to keep narrowing. As cloud and hybrid estates expand, the practical issue is not whether data is classified, but whether the identity that reached it was authorised, overprivileged, or already compromised.
Identity blast radius: the more a platform can connect access, privilege, and data exposure in one view, the less likely teams are to discover compromise after impact. That is the real programme signal in this market: controls are converging around the path from identity to data, not around data alone.
For practitioners
- Map identity-led attack paths to data controls Trace where compromised credentials could reach sensitive data, then check whether your current stack can detect, block, and investigate that path before exfiltration occurs.
- Separate detection coverage from blocking coverage Document which controls only alert and which can actually stop abusive identity actions in real time, especially in environments without 24/7 SOC coverage.
- Test hybrid visibility across all major data planes Validate coverage for on-premises file servers, Microsoft 365, cloud storage, databases, and Active Directory, then note where the platform depends on cloud-only assumptions.
- Review platform commitments against your deployment horizon If you still rely on on-premises or mixed deployment models, verify that the vendor roadmap aligns with the environments you must support over the next three years.
Key takeaways
- The article's core message is that data security platforms now need identity security depth to address the way attackers actually reach sensitive data.
- Netwrix's cited trend data shows identity compromise is becoming a dominant entry path, which changes how practitioners should evaluate Varonis alternatives.
- Teams should prioritise platforms that can detect, block, and govern identity-led access across hybrid environments rather than relying on alerting alone.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Identity compromise and secret exposure are central to the comparison criteria. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege and access control are core to the article's identity-driven risk model. |
| NIST Zero Trust (SP 800-207) | PR.AC-3 | Continuous verification aligns with the article's identity-first threat framing. |
Map access paths to PR.AC-4 and verify privilege limits across identity and data layers.
Key terms
- Identity threat detection and response: Identity threat detection and response is the practice of identifying and stopping abuse of accounts, credentials, and privileges before attackers can move deeper into the environment. It focuses on the identity layer of attack, where legitimate access is misused rather than technically broken into.
- Data security posture management: Data security posture management is the continuous discovery, classification, and risk assessment of sensitive data across cloud, on-premises, and hybrid environments. In practice, it helps teams understand where sensitive information lives, who can reach it, and where exposure or overpermission increases risk.
- Real-time blocking: Real-time blocking is a control pattern that stops a policy-violating action as it happens instead of waiting to alert on it after the fact. In identity security, that means interrupting abusive access, privilege changes, or directory actions before they complete.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.
This post draws on content published by Netwrix: 8 Varonis alternatives worth evaluating in 2026. Read the original.
Published by the NHIMG editorial team on 2026-02-24.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org