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Data centric security market map and supplier insights Q3 2026

The cybersecurity landscape is undergoing a fundamental shift from network-centric perimeter defense to data-centric security (DCS). Traditional "Castle and Moat" models are obsolete due to cloud computing, hybrid workforces, and IoT expansion, which have dissolved the network perimeter. Data is now a dynamic asset flowing across complex ecosystems, necessitating protection that travels with the data itself.

Data-centric security addresses this by focusing protection on the data content, rather than its container. This ensures security policies remain attached to information throughout its lifecycle. This report provides a comprehensive analysis of the DCS category, outlining its evolution, the modern threat landscape, and a rigorous framework for enterprise procurement teams.

The transition to DCS is driven by escalating data breach costs, regulatory pressures, and the rise of sophisticated threats like extortion-only ransomware and Shadow AI. Procurement teams must prioritize agentless, API-first solutions that offer automated data inventory, context-aware classification, and granular access governance. Innovative differentiators include Data Detection and Response (DDR), Shadow AI controls, and quantum-safe foundations.

Successful implementation requires strategic planning, executive sponsorship, and a focus on measurable KPIs like reduced data exposure risk and improved classification precision, moving beyond reactive measures to proactive data safety.

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40 companies analyzed | Last updated Aug 25, 2026
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Palomarr Insights / Q3 2026

DATA CENTRIC SECURITY

What does the latest data centric security market report show?

The Q3 2026 Palomarr Insights report maps 40 data centric security suppliers by market position, supplier scores, and category signals. Buyers can use it to understand the market before comparing vendors or building an RFP shortlist.

Palomarr Orbit

Unlike static analyst charts, Palomarr Orbit plots 40 data centric security companies by Capabilities and Innovation, then lets you shift the center of gravity based on your priorities with Palomarr Orbit Shift. The closer to your unique core, the better the fit.

Palomarr Orbit Shift

 Orbit Shift
Contenders
Leaders
Emerging
Challengers
CAPABILITIES →
INNOVATION ↑

Introduction to data-centric security

Enterprise information security is undergoing a critical transformation. The traditional network-centric 'Castle and Moat' model, which focused on perimeter fortification, is no longer effective in an era of cloud-native computing, hybrid workforces, and IoT. Data is now a fluid resource, moving across diverse environments, demanding a new approach to protection.

Data-centric security (DCS) shifts the focus from securing the network or server to securing the data itself, ensuring policies remain attached to information throughout its entire lifecycle. This report details the evolution of DCS, quantifies the modern threat landscape, and offers a rigorous evaluation framework for procurement teams.

Market landscape and challenges

The market for data-centric security is driven by an escalating economic crisis in cybersecurity. Data breaches incur significant financial and operational tolls, with global average costs reaching millions. The visibility gap in traditional security models leaves organizations vulnerable to sophisticated attacks and regulatory non-compliance. Human error remains a primary vulnerability, contributing to a vast majority of breaches.

The emergence of 'Shadow AI' further complicates the landscape, adding substantial costs to incidents involving unsanctioned generative AI tools.

Quadrant distribution

Companies are evaluated on two dimensions: Capabilities measure product depth and maturity, while Innovation reflects forward-thinking investments. The combined score shows overall market position.

$10M Average data breach cost (US)
181 days Average time to identify a breach
77-95% Breaches due to human error

Key trends shaping DCS

Explosive data sprawl

Global data creation is projected to exceed 180 zettabytes in 2025. This immense volume makes manual security processes and static perimeters unsustainable, driving demand for automated data-centric solutions.

Extortion-only ransomware

Attackers are increasingly focusing on stealing and exploiting data for multi-stage extortion, rather than just encrypting systems. This shift makes data-level protection the only effective defense against such sophisticated threats.

Regulatory tsunami

New and evolving regulations like GDPR, CCPA, and state-specific laws mandate organizations understand their data's location and access controls. Non-compliance now poses significant brand and financial risks.

AI paradox & data safety

AI acts as both a powerful defense multiplier and a new risk factor, especially with 'Agentic AI' architectures. The future emphasizes 'Data Safety,' integrating automated, preventive controls directly into business processes for secure data sharing.

Essential capabilities and differentiators

To effectively evaluate data-centric security solutions, procurement teams must distinguish between foundational 'table-stakes' capabilities and innovative differentiators. Core requirements include automated sensitive data inventory across diverse environments, context-aware classification using machine learning, and granular access governance. Encryption and format-preserving tokenization are also critical for data protection. Leaders in this space offer agentless, API-based architectures, real-time Data Detection and Response (DDR), and controls for 'Shadow AI' and Large Language Model (LLM) inputs. Quantum-safe foundations and Privacy-Enhancing Technologies (PETs) represent cutting-edge innovation.

How companies earn their ranking

Data centric security companies earn high Capability scores by demonstrating comprehensive data discovery, classification, and protection capabilities. Accurate identification of sensitive data across diverse environments is crucial, along with granular access controls and robust encryption methods.

Innovation scores are driven by the adoption of AI-powered automation, real-time behavioral monitoring, and forward-looking features like quantum-safe cryptography.Top-ranked companies typically exhibit a strong commitment to agentless architecture, ensuring seamless integration with modern cloud environments. They also prioritize automated remediation, enabling swift responses to potential threats.

Vendors can improve their ranking by investing in AI governance, enhancing their ability to detect and manage shadow AI risks, and by providing clear, validated metrics on the precision and recall of their classification engines.

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Rankings

1
Fortra
Best Overall Best Value
9.8 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.9 Innovation 9.7
2
Acronis
Best for Enterprise
9.7 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.8
3
Keeper Security
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.7 Innovation 9.5
4
Menlo Security
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.5 Innovation 9.7
5
TrustWave
9.5 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.4
6
Theta Lake
9.4 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.5
7
Secuvy
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.4 Innovation 9.2
8
Cyrisma
Best for SMB Best for Mid-market
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.2 Innovation 9.4
9
SteelDome Cyber
9.2 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.1
10
Telefonica (ElevenPaths)
9.1 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.0 Innovation 9.2

Competitive assessment

Our AI-generated analysis explains what makes each top-ranked company a strong fit for data centric security, based on their specific capabilities, product features, and market positioning.

1
Fortra
Best Overall Best Value
9.8 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.9 Innovation 9.7

Fortra's platform offers comprehensive data loss protection and extended detection and response capabilities, making it suitable for medium to large enterprises focused on cybersecurity.

  • Unified cloud-native cyber defense platform
  • Real-time threat detection and remediation
  • Comprehensive managed security services
CapabilitiesInnovationImplementationSupportPrice
2
Acronis
Best for Enterprise
9.7 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.8

Acronis offers integrated cybersecurity and data protection solutions, including advanced backup and disaster recovery, tailored for SMBs and mid-market enterprises.

  • Integrated cybersecurity and data protection platform
  • AI-powered threat detection and remediation
  • Comprehensive backup and disaster recovery solutions
CapabilitiesInnovationImplementationSupportPrice
3
Keeper Security
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.7 Innovation 9.5

Keeper Security provides a zero-knowledge password management platform, ensuring secure data access for small to medium-sized businesses and enterprises.

  • Zero trust and zero knowledge architecture
  • Comprehensive password and secrets management
  • Rapid deployment with extensive integrations
CapabilitiesInnovationImplementationSupportPrice
4
Menlo Security
9.6 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.5 Innovation 9.7

Menlo Security excels in data-centric security through its Secure Application Access and Threat Prevention features, ensuring safe internet access and file handling for enterprises.

  • Cloud-delivered secure enterprise browser
  • HEAT Shield AI threat prevention
  • Zero Trust application access
CapabilitiesInnovationImplementationSupportPrice
5
TrustWave
9.5 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.6 Innovation 9.4

TrustWave's Network Access Control and Managed Detection and Response services provide granular control and continuous monitoring, enhancing data security for mid-market and enterprise clients.

  • 24/7 Global Expertise: Continuous worldwide threat monitoring
  • Comprehensive Threat Intelligence: Over 1M new URLs detected monthly
  • Customized Security Solutions: Tailored services for diverse environments
CapabilitiesInnovationImplementationSupportPrice
6
Theta Lake
9.4 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.5

Theta Lake's AI-native platform enhances compliance and data protection across digital communications, making it ideal for enterprises in regulated industries.

  • AI-driven compliance detection
  • Extensive API-based integrations
  • Comprehensive multichannel communication archiving
CapabilitiesInnovationImplementationSupportPrice
7
Secuvy
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.4 Innovation 9.2

Secuvy's Autonomous Data Security Platform addresses data discovery and compliance challenges, making it suitable for mid-market and enterprise clients managing sensitive data.

  • Self-learning AI for proactive data security
  • Quick setup for immediate actionable insights
  • Operates on-premises without cloud dependency
CapabilitiesInnovationImplementationSupportPrice
8
Cyrisma
Best for SMB Best for Mid-market
9.3 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.2 Innovation 9.4

Cyrisma's cyber risk management platform offers comprehensive vulnerability scanning and compliance assessment, making it suitable for SMBs and mid-market enterprises.

  • Unified platform for comprehensive risk management
  • Real-time dark web monitoring capabilities
  • Automated compliance tracking and reporting
CapabilitiesInnovationImplementationSupportPrice
9
SteelDome Cyber
9.2 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.3 Innovation 9.1

SteelDome Cyber's StratiSYSTEM provides unified infrastructure solutions that enhance data protection, making it suitable for mid-market and enterprise clients.

  • Immutable Backups for Enhanced Data Security
  • Hardware-Agnostic Virtualization for Flexibility
  • Decentralized Archival for Increased Compliance
CapabilitiesInnovationImplementationSupportPrice
10
Telefonica (ElevenPaths)
9.1 This score was generated by combining our proprietary Capabilities and Innovation scores Capabilities 9.0 Innovation 9.2

Telefonica's advanced cybersecurity solutions, including SecurityEdge, provide comprehensive protection against data breaches for SMBs and enterprises alike.

  • Comprehensive Cloud and Cybersecurity Services
  • Tailored Solutions with Expert Consultative Approach
  • Integrated Cyber-Resilience Across Digital Infrastructure
CapabilitiesInnovationImplementationSupportPrice

Buyer recommendations

SMB buyers

Prioritize solutions with intuitive interfaces and strong automation for sensitive data discovery and classification. Look for vendors offering clear, predictable pricing and minimal deployment friction, ideally agentless, to reduce IT overhead.

Mid-market buyers

Focus on solutions that offer robust integration with existing cloud and SaaS ecosystems, including identity management. Evaluate vendors based on their ability to provide comprehensive audit readiness and forensic capabilities for compliance reporting.

Enterprise buyers

Demand agentless, API-first architectures with proven scalability for petabyte-scale environments. Prioritize vendors with advanced DDR capabilities, Shadow AI controls, and a clear roadmap for quantum-safe cryptography and Privacy-Enhancing Technologies. Scrutinize TCO beyond licensing, considering personnel and implementation costs.

Implementation realities and pitfalls

Successful data-centric security implementation is more about process redesign than just technology installation. A realistic enterprise deployment can span 18 to 36 months, though initial value should be demonstrated within the first quarter. Key steps include thorough assessment, KPI definition, governance design, and phased operationalization. Common pitfalls include attempting to secure all data at once, lacking executive sponsorship, and neglecting data cleansing.

Organizations must budget for 'Surplus Labor and Lifecycle' costs, including ongoing maintenance, staffing shortages, and integration debt, which often exceed initial license fees.

Future outlook: data safety and AI governance

The data-centric security category is entering a 'Re-prioritization Year,' with targeted investments in data controls taking precedence over broad network spending. Global cybersecurity spending is projected to grow significantly, with data security software as the fastest-growing subsegment. The future emphasizes 'Data Safety,' a proactive approach that embeds automated, preventive controls directly into business processes, enabling secure data sharing rather than isolated protection.

The integration of AI governance and quantum-safe cryptography will be critical as threats evolve and data mobility increases across complex, AI-driven workflows.

About this study

This report analyzes the Data-centric security space, evaluating capability and innovation scores based on extensive market research and expert insights. It provides a framework for understanding the category's evolution, current challenges, and future trajectory.

FAQs & disclaimers

What is the primary difference between data-centric and network-centric security?

Network-centric security focuses on protecting the perimeter (firewalls, VPNs), assuming everything inside is trusted. Data-centric security protects the data itself, regardless of its location or the network it traverses, ensuring persistent security policies.

Why are traditional security models no longer sufficient?

The rise of cloud computing, hybrid work, and IoT has dissolved the traditional network perimeter. Data now moves freely across diverse environments, making perimeter-based defenses ineffective against modern threats like insider risks and sophisticated data exfiltration.

What are the key benefits of implementing data-centric security?

Benefits include reduced data breach costs, improved regulatory compliance (GDPR, CCPA), enhanced protection against advanced threats like extortion-only ransomware, and the ability to securely share data while maintaining control over sensitive information.

What should buyers prioritize when evaluating data-centric security solutions?

Buyers should prioritize agentless, API-first deployment architectures, deep integration with their existing data and operational stacks, and vendors with a clear roadmap for AI governance and quantum-safe cryptography. Focus on solutions that offer automated discovery, context-aware classification, and real-time data detection and response.

Disclaimer: The information contained in this report is for informational purposes only and does not constitute professional advice. Palomarr provides objective supplier comparisons based on available data and proprietary scoring methodologies. Users should conduct their own due diligence before making purchasing decisions.

Conclusion

The shift to data-centric security is not merely an upgrade; it is a fundamental re-architecture of enterprise cybersecurity. The traditional perimeter has dissolved, making data itself the new control plane. Organizations that fail to adopt a data-centric approach face escalating financial penalties from breaches, severe regulatory non-compliance risks, and significant operational disruptions.

Successful adoption requires a strategic procurement process that prioritizes agentless, API-first solutions with advanced capabilities like context-aware classification, real-time Data Detection and Response, and robust Shadow AI controls. Beyond technology, success hinges on strong executive sponsorship, a phased implementation approach, and a commitment to continuous data governance and cleansing.

By embracing data-centric security, enterprises can move from reactive firefighting to proactive data safety, aligning their security posture with the demands of a collaborative, data-driven business world.

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