18 Varonis Alternatives for Enterprise (2026 Comparison)
Bilal Khan
September 24, 2025
Compare 18 enterprise Varonis alternatives by deployment speed, pricing transparency, and legacy system support. Includes guidance on when to choose Varonis or to pursue other vendors.
If your priority is proactive, data-centric protection with an agentless architecture, DataStealth is the strongest alternative. It deploys at the network layer via a DNS change, protects mainframe and legacy environments without code changes, and uses a predictable pricing model.
If your goal is data discovery and privacy compliance, BigID leads in AI-powered classification across structured and unstructured data.
For file activity monitoring and access governance specifically, Lepide and Netwrix offer lighter-weight alternatives with faster deployment timelines than Varonis.
The right choice depends on whether you need to protect data (tokenize and mask it) or monitor access to data (audit and alert). Varonis excels at the latter. Most of the alternatives below focus on the former.
In 2026’s hybrid/multi-cloud world, legacy data platforms and access-governance-only tools fall short. While Varonis excels at auditing and permissions, modern enterprises require agentless, inline or network-level protection for data in motion and at rest.
Why Enterprise Buyers Are Looking for Varonis Alternatives
High Operational Overhead and Complexity: Varonis typically demands specialist staffing for setup, policy tuning, and ongoing management.
Significant Alert Fatigue and Manual Intervention: High alert volumes (often noisy) increase manual triage time and risk of missed signals.
Prohibitive Total Cost of Ownership (TCO): Layered subscriptions, services, and staffing can make TCO high and opaque.
Architectural Limits with Legacy: Increasingly pivoting to a SaaS-first model, prioritizing its cloud platform while de-emphasizing on-prem and legacy environments.
Reactive Posture: Strong at auditing and after-the-fact anomaly detection; weaker at proactive, in-flight data protection.
Expanding Scope Without Addressing Core Friction: Varonis acquired AllTrue.ai in February 2026 (~$150M) to add AI Trust, Risk, and Security Management (AI TRiSM) capabilities, including shadow AI discovery, AI model behavior monitoring, and real-time guardrails for autonomous AI agents.
This signals strategic ambition in AI governance, which is a legitimate and growing enterprise concern.
However, the acquisition does not change the architectural factors driving alternatives adoption: agent-based deployment, limited mainframe and legacy coverage, alert fatigue from high false-positive rates, and opaque renewal pricing.
Buyers should evaluate whether the AllTrue.ai capabilities address their actual security gaps or whether they compound an already complex platform with additional modules to manage.
Checklist for Scalable, Enterprise-Grade Data Security Solutions
Agentless operation (no code, agents, or proxies). Prefer network-layer enforcement that integrates seamlessly and reduces friction.
Proactive, real-time data protection. Apply tokenization, format-preserving encryption, or masking before data lands to neutralize breaches in motion.
Unified policies across legacy and cloud. A single control plane should extend equally to mainframes, legacy systems, multi-cloud, and multi-region deployments, ensuring consistent protection without system-specific integrations.
Elastic scalability. The platform must adapt to infrastructure growth, spanning hybrid, multi-cloud, and global regions without performance trade-offs.
Deployment in weeks – not quarters. Rapid rollout delivers faster time-to-value with minimal operational disruption.
No operational bottlenecks. Automation and intelligent tuning minimize alert noise, manual oversight, and administrative overhead.
18 Top Varonis Alternatives
1. DataStealth - Best for Hybrid, Legacy, and Mainframe Environments
Founded
HQ
Solutions
Deployment
2018
Mississauga, ON, Canada
Data Protection; Data Discovery; Classification; Test Data Management; Interoperability With DSPMs, SIEM, and DLPs.
Network-layer, agentless, with no code changes/revisions, APIs, or collectors required.
DataStealth is a DSP that takes a fundamentally different approach from Varonis.
The deployment model is the primary differentiator. DataStealth deploys at the network layer using a DNS change -- no agents, no code changes, no API integrations.
This agentless architecture is critical for organizations with mainframes, legacy databases, or COBOL-based systems where installing agents is impractical or impossible.
It also means deployment takes days, not months, with zero disruption to existing applications and user workflows.
Pricing follows a managed-services model with a monthly fee per endpoint. This eliminates the vendor relationship friction that enterprise buyers frequently report with Varonis – no opaque renewal pricing, no forced professional services, no surprise upsell conversations.
DataStealth also provides test data management (TDM) as a built-in capability, securely generating production-like test data without ever copying sensitive real data to non-production environments.
Pros
Friction-free rollout: Zero agents, zero code, no collectors.
Proactive controls: Neutralizes data before it’s stored.
App-transparent: No changes to apps/DBs/analytics.
Performance-friendly: Operates out-of-band.
Best for: Enterprises with hybrid cloud, on-premise, and mainframe environments. Organizations in finance, insurance, telecom, and healthcare that require data protection (not just monitoring) for compliance.
Key differentiators vs. Varonis: Agentless network-layer deployment, data tokenization and masking (vs. access monitoring), mainframe support, predictable pricing.
Data Discovery & Classification; Data Intelligence Platform; Data Security & Privacy/Governance
Connectors/APIs + optional agents; cloud/SaaS + on-prem support
BigID provides deep data discovery and classification/classification and privacy workflows across both structured/unstructured data stores, and SaaS platforms. It inventories sensitive data and powers privacy/security/governance actions.
Pros
Broad discovery: Strong PII/PHI/PCI coverage across data estates.
Privacy at scale: GDPR/CCPA workflows and data rights automation.
Extensible marketplace: Add-on apps for remediation and governance.
Cons
Heavier ops: Connectors/agents and scanning can add complexity.
Resource impact: Deep scans consume compute on sources.
Higher cost: Skilled staff and infra often required.
TCO:High. Licenses + infra + specialist ops. Ease of deployment:Moderate–Complex. Connector setup; agents in some cases.
TCO:Mid. Licenses + maintenance + admin effort. Ease of deployment:Moderate. Server + collectors; credential setup.
6. IBM StoredIQ Suite
Founded
HQ
Solutions
Deployment
(IBM product; enterprise business line)
Armonk, NY, USA (IBM headquarters)
Large-scale information governance & eDiscovery across unstructured data assets.
Complex/long-term deployment; specialized hardware/infra and services.
IBM StoredIQ targets large-scale information governance and eDiscovery across massive unstructured data estates.
Pros
Petabyte-scale: Index/manage billions of files.
eDiscovery depth: Legal hold, case mgmt, defensible disposal.
In-place analysis: No bulk migration needed.
Cons
Complex: Specialized skills required.
Very high cost: Licenses, hardware, services.
Older UX: Steeper learning curve.
TCO:Very High. Software + infra + expert services. Ease of deployment:Complex/lengthy. Multi-month enterprise project.
7. Fortra’s Data Classification Suite
Founded
HQ
Solutions
Deployment
(Fortra – formerly HelpSystems)
Eden Prairie, MN, USA
User-driven classification embedding labels/metadata (Office/Outlook, etc) for downstream DLP/CASB.
Agent-based client rollout; phased enterprise rollout with training & policy design.
Fortra DCS enforces user-driven classification at creation (Office/Outlook, etc.), embedding labels/metadata for downstream DLP/CASB.
Pros
Culture and control: Educates users; adds persistent labels.
Granular policies: Flexible label schemes.
Ecosystem boost: Improves DLP/CASB accuracy.
Cons
Agent footprint: Client rollout and maintenance.
User-dependent: Human error and prompt fatigue.
Long rollout: Training and policy design phases.
TCO:High. Per-user, training, and agent ops. Ease of deployment:Complex/lengthy. Phased enterprise rollout.
8. Lepide Auditor
Founded
HQ
Solutions
Deployment
2009 (approx)
London, UK (global)
Unified auditing of AD/AzureAD/Exchange/M365/filesystems; real-time alerts & compliance reports.
Windows server/agent connectors per source.
Lepide Auditor provides unified auditing and compliance visibility across Active Directory, Exchange, Microsoft 365, and file systems, enabling enterprises to detect and investigate changes in real-time.
Pros
Comprehensive auditing for AD, Azure AD, Exchange, and file servers
Real-time alerts and compliance-ready reporting
Simple dashboard with prebuilt templates
Cons
Primarily reactive; lacks in-flight data protection
Limited automation beyond auditing
UI can feel dated for large deployments
TCO:Mid. License per domain/user + moderate infrastructure costs. Ease of Deployment:Moderate. Requires Windows server setup and connectors/agents for each data source.
9. ManageEngine ADAudit Plus
Founded
HQ
Solutions
Deployment
2002 (ManageEngine)
Pleasanton, CA, USA
Real-time monitoring of AD & file access; compliance focused for Microsoft ecosystems.
Windows-based installation; guided setup; minimal tuning for smaller scopes.
ManageEngine ADAudit Plus focuses on real-time Active Directory and file access monitoring, offering strong compliance coverage for Microsoft-centric enterprises.
Pros
Real-time AD and file access auditing with clear visualizations
Prebuilt compliance reports (SOX, HIPAA, GDPR)
Cost-effective and tightly integrated into Microsoft ecosystems
Cons
Limited visibility outside Microsoft environments
Alerts may require tuning to prevent noise
Lacks deep data classification capabilities
TCO:Low–Mid. Cost-effective for AD-focused use cases. Ease of Deployment:Easy–Moderate. Windows-based installation with guided setup; minimal tuning needed.
On-prem collectors/agents; moderate complexity especially for large estates.
StealthAUDIT (now part of Netwrix) delivers granular data access auditing and governance, helping organizations clean up permissions and reduce insider risk.
Pros
Deep file system and permissions auditing
Strong AD and Exchange integration
Mature reporting for stale data and privilege cleanup
Cons
Primarily on-prem; limited SaaS visibility
Overlaps with newer Netwrix modules
Requires advanced setup for large estates
TCO:Mid–High. Depends on module selection and environment scale. Ease of Deployment:Moderate. Requires Windows servers and collectors per target system.
11. Sentra
Founded
HQ
Solutions
Deployment
2022
New York, NY, USA
Cloud-native DSPM – discovers/classifies sensitive data across multi-cloud environments.
Sentra is a cloud-native Data Security Posture Management (DSPM) platform that automatically discovers, classifies, and secures sensitive data across multi-cloud environments.
Pros
Agentless discovery and classification via cloud APIs
Real-time data exposure mapping
Centralized visibility across cloud storage and SaaS
Cons
Limited on-prem and legacy system coverage
Some advanced DSPM features still maturing
Requires high-permission cloud integrations
TCO:Mid–High. Subscription pricing scales with connected data stores. Ease of Deployment:Easy. API integrations; fully agentless setup.
DoControl automates data access governance for SaaS applications, giving security teams granular control over file sharing, insider risks, and collaboration data exposure.
Pros
Excellent SaaS access and sharing visibility (Google Drive, Slack, Box)
Policy automation for external sharing control
Cloud-native and quick to implement
Cons
Limited coverage beyond SaaS collaboration tools
No deep data classification
Multiple connectors may be needed for full scope
TCO:Mid. SaaS subscription per user or connected application. Ease of Deployment:Easy. Cloud-to-cloud integration; low admin effort.
13. Cyera
Founded
HQ
Solutions
Deployment
2021
New York, NY, USA
Automated cloud DSPM: discovery, classification, risk scoring for data at rest/in motion in cloud.
API-driven, no agents; cloud-first; limited legacy/mainframe reach.
Cyera provides automated DSPM across cloud data stores, combining discovery, classification, and risk remediation for sensitive data in motion and at rest.
Pros
Cloud-native and agentless
Strong discovery and risk-scoring automation
Policy-based remediation for data exposure
Cons
Focused on cloud data; minimal legacy system coverage
Features still evolving across multi-cloud integrations
May require fine-tuning to avoid alert overload
TCO:Mid–High. Based on volume of connected assets. Ease of Deployment:Easy–Moderate. API-driven setup; no agents required.
14. Forcepoint
Founded
HQ
Solutions
Deployment
1994 (origins, Forcepoint formation 2016)
Austin, TX, USA
Mature DLP suite: endpoint, network, web, email, plus behavioral analytics for insider threats.
Forcepoint offers a mature enterprise DLP platform combining endpoint, network, web, and email security with behavioral analytics for insider threat detection.
Pros
Proven DLP engine with broad coverage
Centralized policy management across vectors
Advanced analytics and risk scoring
Cons
Agent-heavy; complex configuration for large estates
Regular tuning is needed to maintain precision
Some legacy modules are slower to modernize
TCO:High. Multi-module licensing, infrastructure, and administrative overhead. Ease of Deployment:Moderate–Complex. Requires agent rollout and policy gateway setup.
15. Proofpoint
Founded
HQ
Solutions
Deployment
2002
Sunnyvale, CA, USA
Leading email security & DLP for collaboration platforms; threat intelligence + user-centric protection.
Cloud-native with optional endpoint agents; focused on email/collaboration data.
Proofpoint is a leading email security and DLP provider, offering user-centric threat defense and compliance coverage across email, cloud, and collaboration platforms.
Pros
Industry-leading phishing and email DLP detection
Rich behavioral analytics and threat intelligence
Easy cloud deployment and centralized reporting
Cons
Primarily focused on email and collaboration data
Endpoint DLP less mature than core email capabilities
Add-on modules increase overall cost
TCO:Mid–High. Subscription per user; modular pricing structure. Ease of Deployment:Easy–Moderate. Cloud-native setup; optional endpoint agent.
16. Securonix
Founded
HQ
Solutions
Deployment
2008
Addison, TX, USA
Cloud-native SIEM/UEBA platform: user/identity behaviour analytics for data misuse & insider threats.
Connector/agent required for data ingestion; moderate complexity for fine-tuning large estates.
Securonix delivers a cloud-native SIEM and UEBA platform that detects anomalous user behavior and data misuse using advanced analytics and machine learning.
Pros
Deep behavioral analytics for insider and access anomalies
Cloud-native scalability and rapid content updates
Flexible integrations across identity and data platforms
Cons
Requires expertise to fine-tune data sources
Higher data ingestion costs for large organizations
Can generate alert noise in unoptimized environments
TCO:Mid–High. Based on ingestion volume and data retention. Ease of Deployment:Moderate. SaaS-based; connector-driven integration.
Rapid7 combines SIEM, vulnerability management, and XDR into a unified analytics platform for detecting, investigating, and responding to data and identity threats.
Pros
Unified platform spanning endpoints, cloud, and identity
Simple integration and broad ecosystem support
Solid UEBA and correlation rules out of the box
Cons
Broad focus; not specialized for data-centric protection
High storage/ingestion costs for large log volumes
Occasional false positives without tuning
TCO:Mid–High. Tiered pricing by data volume and endpoints. Ease of Deployment:Moderate. SaaS platform; agents are optional depending on modules.
18. OpenText
Founded
HQ
Solutions
Deployment
1991
Waterloo, ON, Canada
Tokenisation / Format-Preserving Encryption (FPE) for structured data; governance & eDiscovery via EnCase.
OpenText offers enterprise data security and governance through its Voltage SecureData (tokenization/or FPE) and EnCase platforms, designed for compliance-intensive organizations.
Pros
Industry-proven tokenization and FPE for structured data
Comprehensive governance, discovery, and eDiscovery tools
Strong compliance pedigree for regulated industries
Cons
Complex, multi-product architecture
Slower iteration and modernization cycles
Integration challenges across product lines
TCO:High. Enterprise licenses + infrastructure and consulting services. Ease of Deployment:Complex. Multiple components; hybrid cloud/on-prem setup.
When to Choose Varonis vs. When to See a Varonis Alternative
Choose Varonis When:
Your primary security objective is access governance and insider threat detection for unstructured file data.
Varonis remains the strongest platform for mapping permissions, baselining user behavior via UEBA, and detecting anomalous access patterns across file shares, SharePoint, and Microsoft 365.
No alternative on this list matches its depth in answering "who accessed what file, when, and from where,” particularly for insider threat investigations.
You have a dedicated security operations team to absorb the operational overhead.
Varonis is not a deploy-and-forget platform. It requires skilled staff for initial configuration, ongoing policy tuning, and alert triage. If your organization has a mature SOC with bandwidth to manage a complex tool, Varonis delivers high-fidelity signals that justify the investment.
Budget accordingly: annual subscription pricing with usage-based tiers, professional services for implementation, and internal staffing costs for ongoing management.
Your environment is primarily Microsoft-centric with limited legacy infrastructure.
Varonis excels in Microsoft ecosystems – e.g., Active Directory, M365, Exchange, SharePoint, and Azure. If your data estate fits this profile without significant mainframe, COBOL, or non-standard legacy workloads, Varonis covers the ground well.
AI security governance is an emerging board-level priority.
With the AllTrue.ai acquisition (February 2026), Varonis now offers shadow AI discovery, AI model behavior monitoring, and real-time guardrails for autonomous AI agents.
If controlling how AI systems interact with your sensitive data is a near-term priority, this capability is a differentiator most alternatives lack.
Choose an Alternative If:
You need to protect data, not just monitor access to it.
This is the fundamental architectural distinction. Varonis detects anomalous access and alerts your team, but if an attacker exfiltrates files, the data inside is fully readable.
If your security model assumes breach (Zero Trust), you need a platform that tokenizes, masks, or encrypts sensitive data so that stolen data is useless.
Varonis does not provide this. DataStealth and OpenText Voltage do.
Your environment includes mainframes or legacy systems.
Varonis's agent-based architecture has limited to no support for z/OS mainframes, legacy databases (IMS, DB2 on z/OS), COBOL-based applications, or TN3270 terminal environments.
If your organization runs production workloads on mainframes, i.e., the standard in banking, insurance, telecom, and government, Varonis cannot protect those systems.
An agentless, network-layer platform is required.
Deployment speed and operational simplicity are constraints.
Varonis deployments typically require 3–6 months for setup, configuration, tuning, and team training, and may take longer.
If you need protection operational in weeks rather than quarters, particularly under audit pressure or after a breach, platforms with agentless architectures (DataStealth, BigID, Sentra, Cyera) or lightweight agent models (Lepide, ManageEngine) deliver faster time-to-value.
Pricing predictability matters to your CFO.
Multiple enterprise buyers report unexpected cost escalation at Varonis renewal, with limited pricing visibility during the initial sales cycle.
If your procurement process requires transparent, predictable pricing for multi-year budget planning, evaluate vendors that offer published pricing, managed-services models with clear, transparent monthly costs (DataStealth), or perpetual licensing (Netwrix).
Negotiate multi-year pricing caps in any subscription contract.
Your data estate spans SaaS collaboration tools beyond Microsoft.
If your sensitive data lives across Google Workspace, Slack, Box, Salesforce, and other SaaS platforms, Varonis's coverage is thinner.
DoControl specializes in SaaS access governance for these environments, and BigID provides discovery and classification across a broader SaaS footprint.
How to Select the Right Varonis Alternative for Your Environment
Start by mapping your control model: is your primary need reactive (audit, alert, investigate) or proactive (tokenize, mask, protect in-flight)?
If reactive, Varonis, Lepide, Netwrix, and Securonix are the category. If proactive, DataStealth and OpenText Voltage are in the category. Most mature programs need both.
Next, assess deployment friction. Will you need agents installed on target systems (which drives the timeline and complexity), or can the platform operate at the network or API layer (which simplifies deployment)?
Map this against your environment: mainframes, containers, serverless workloads, and SaaS applications each have different deployment constraints.
Then pilot with one or two critical data flows. Measure time-to-policy, false-positive rate, performance impact on protected systems, and the actual staffing required for ongoing operations.
These four metrics predict long-term TCO more reliably than vendor pricing alone.
Top Varonis Competitors Compared
Vendor
Agentless / Agent Minimum
Real-Time Tokenization / FPE
Legacy & Mainframe Support
Cloud DB / SaaS Coverage
Primary Focus
DataStealth
Yes: network-layer, no agents, no code changes.
Yes: tokenization, dynamic masking, FPE.
Yes: covers legacy, on-prem, mainframes, hybrid.
Yes: cloud, SaaS apps, hybrid.
Data-centric protection across hybrid/legacy/cloud
BigID
Yes (agentless connectors/APIs) though scanning may deploy agents/connectors in some cases.
Limited -- primarily classification/discovery rather than inline tokenization/FPE.
Moderate -- supports hybrid and on-prem, but mainframe coverage less emphasized.
Yes -- strong cloud/SaaS/AI pipeline coverage.
Discovery, classification, DSPM & privacy for modern cloud/AI
Egnyte
Yes (for cloud) / Agents for on-prem sync.
No inline tokenization/FPE.
Limited -- primarily files, storage rather than mainframes.
Yes -- SaaS file/collaboration, hybrid files.
File governance & secure collaboration
Netwrix Auditor
No -- relies on server installs/collectors.
No.
Moderate -- on-prem AD/file systems; less focus on mainframe.
Moderate -- supports M365, cloud file stores.
Change & access auditing, permissions governance
SolarWinds Access Rights Manager (ARM)
No -- Windows-/AD-centric agents/collectors.
No.
Low -- mainly Microsoft stacks.
Low to moderate -- Microsoft cloud services.
Permissions management for Microsoft environments
IBM StoredIQ
No -- agent/connector deployment for indexing.
No inline tokenization/FPE as primary.
Yes -- large-scale unstructured estates including legacy systems.
User-embedded classification & metadata for DLP downstream
Lepide Auditor
No -- requires Windows server/agent setup.
No.
Moderate -- AD/Exchange/files, less mainframe.
Low-moderate.
Unified AD/Exchange/file auditing for compliance
ManageEngine ADAudit Plus
No -- Windows-based install.
No.
Low-moderate.
Low -- focused on Microsoft.
Cost-effective AD/file access monitoring
STEALTHbits (StealthAUDIT)
No -- collectors/agents.
No.
Moderate-High for file systems; less cloud SaaS.
Low-moderate cloud coverage.
File/permissions auditing & access clean-up
Sentra
Yes -- agentless DSPM for cloud.
No inline tokenization/FPE mentioned.
Limited -- cloud-first.
Yes -- strong cloud data store coverage.
DSPM for cloud data & SaaS
DoControl
Yes -- SaaS-to-SaaS integrations.
No inline tokenization/FPE.
Very limited -- focused on SaaS collaboration.
Yes -- strong SaaS app coverage.
SaaS access governance & sharing control
Cyera
Yes -- agentless, cloud DSPM.
Emerging -- not yet full inline tokenization/FPE.
Limited -- cloud-first.
Yes -- cloud data stores.
Cloud DSPM & data exposure remediation
Forcepoint
No -- agent-based DLP.
Partial -- DLP but not always inline tokenization across all data flows.
Moderate.
Moderate-High.
Mature DLP & insider threat across endpoints/network/web/email
Proofpoint
No -- agent-based/email-centric.
Partial.
Low-moderate.
High (email/SaaS).
Email security & collaboration DLP
Securonix
No -- connector/agent for SIEM/UEBA ingestion.
No.
Low-moderate.
Yes.
Behavioral analytics for data misuse & insider threats
Rapid7
No -- endpoint agents or syslog.
No.
Low.
Yes.
Unified analytics for XDR/vulnerability/identity
OpenText (Voltage SecureData)
No -- multi-component architecture.
Yes -- tokenization/FPE strong.
Moderate.
Moderate.
Compliance-intensive tokenization/governance for structured data
Varonis Alternative FAQs
Compare the cost and deployment differences among the top alternatives to Varonis
The lowest‐friction path comes from agentless network-layer platforms (for example, DataStealth), which require minimal infrastructure and operations.
Audit/permissions tools (e.g., Netwrix, SolarWinds ARM) fall into the mid-tier -- they often require servers or collectors and tuning.
The most expensive/complex category includes heavy discovery/governance, or eDiscovery platforms (such as BigID, IBM StoredIQ, and Fortra DCS), which entail significant infrastructure, services, and change management.
Which alternatives offer strong cloud and SaaS data classification?
BigID stands out for broad discovery and classification across cloud and SaaS platforms, and DSPM tools like Sentra and Cyera focus specifically on cloud data stores (though you should verify exact coverage with vendor docs).
Which tools provide built-in DLP and endpoint remediation capabilities?
Mature DLP suites such as Forcepoint and Proofpoint deliver endpoint, email and web controls; Fortra DCS adds classification and metadata, which enhances downstream DLP but is not a complete DLP solution on its own.
Does Varonis support mainframe and legacy environments?
Varonis uses an agent-based architecture that has limited to no support for z/OS mainframes, legacy databases (IMS, DB2 on z/OS), COBOL-based applications, or TN3270 terminal environments.
Organizations running production workloads on mainframes — common in banking, insurance, telecom, and government — need an agentless, network-layer platform like DataStealth that can protect these systems without installing agents.
What is the difference between a DSP and a DSPM?
A Data Security Platform (DSP) actively protects data by applying controls like tokenization, format-preserving encryption, and dynamic masking to neutralize sensitive data before or during transit.
A Data Security Posture Management (DSPM) platform monitors and assesses your data security posture by discovering, classifying, and alerting on data exposure risks.
Varonis and BigID are closer to the DSPM model. DataStealth is a full DSP that protects data at the network layer. Most mature security programs benefit from both approaches.
About the Author:
Bilal Khan
Bilal is the Content Strategist at DataStealth. He's a recognized defence and security analyst who's researching the growing importance of cybersecurity and data protection in enterprise-sized organizations.