Data centric security market map and supplier insights Q2 2026

Data-centric security (DCS) is emerging as a critical paradigm shift in enterprise information security, moving away from traditional network-centric models. The dissolution of the network perimeter due to cloud computing, hybrid workforces, and IoT proliferation necessitates a focus on protecting the data itself, regardless of its location.

This category is driven by the escalating costs of data breaches, increasingly sophisticated ransomware attacks, and stringent regulatory compliance requirements like GDPR and CCPA. The DCS market is rapidly evolving, with innovative solutions leveraging AI and machine learning to automate data discovery, classification, and protection.

Key trends include the rise of agentless architectures, Data Detection and Response (DDR) capabilities, and solutions for governing Shadow AI and Large Language Models (LLMs). As organizations grapple with explosive data sprawl and the growing threat landscape, data-centric security investments are taking precedence over traditional network upgrades, positioning DCS as a foundational requirement for modern cybersecurity strategies.

Procurement teams must prioritize solutions that offer automated sensitive data inventory, context-aware classification, granular access governance, and robust encryption capabilities to effectively mitigate data exposure risks.

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40 companies analyzed | Last updated Apr 22, 2026

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Palomarr Insights / Q2 2026

DATA CENTRIC SECURITY

What does the latest data centric security market report show?

The Q2 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.

Contenders

Leaders

Emerging

Challengers

CAPABILITIES →

INNOVATION ↑

Introduction

This report provides an exhaustive analysis of the data-centric security category, tracing its historical evolution, quantifying the modern threat landscape, and establishing a rigorous evaluation framework for enterprise procurement teams. Data-centric security (DCS) represents the necessary response to a boundary-less reality by shifting the focus of protection from the container to the content.

Market landscape

The data-centric security market is experiencing rapid growth, driven by the increasing volume and complexity of data, the rise of cloud computing, and the growing threat of data breaches. Organizations are seeking solutions that can automatically discover, classify, and protect sensitive data across diverse environments.

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.

40 Total suppliers analyzed

8.2 Average combined score

$10M Average cost of a data breach in the US

77-95% Percentage of breaches caused by human error

Key trends

AI-driven discovery

AI and machine learning are automating the discovery and classification of sensitive data across multi-cloud environments. This reduces manual effort and improves the accuracy of data identification.

Agentless architecture

Agentless and API-based architectures are gaining traction, offering easier deployment and reduced impact on application performance. These solutions connect directly to cloud environments via native APIs.

Data detection & response

Data Detection and Response (DDR) is moving beyond static posture management to real-time behavioral monitoring. This identifies toxic combinations of risk and triggers automated remediation.

Shadow AI governance

Solutions are emerging to identify and govern data flowing into unsanctioned generative AI tools. These controls prevent sensitive PII from being uploaded to public LLMs in real-time.

Competitive analysis

The data-centric security market is competitive, with a mix of established vendors and emerging players. Leaders in the space offer comprehensive solutions that combine automated data discovery, context-aware classification, granular access governance, and robust encryption capabilities. Differentiators include agentless architecture, Data Detection and Response (DDR) capabilities, and Shadow AI governance.

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

Fortra

Best Overall Best Value

9.8

Acronis

Best for Enterprise

9.7

Keeper Security

9.6

Menlo Security

9.6

TrustWave

9.5

Theta Lake

9.4

Secuvy

9.3

Cyrisma

Best for SMB Best for Mid-market

9.3

SteelDome Cyber

9.2

Telefonica (ElevenPaths)

9.1

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.

Fortra

Best Overall Best Value

9.8

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

Acronis

Best for Enterprise

9.7

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

Keeper Security

9.6

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

Menlo Security

9.6

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

TrustWave

9.5

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

Theta Lake

9.4

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

Secuvy

9.3

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

Cyrisma

Best for SMB Best for Mid-market

9.3

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

SteelDome Cyber

9.2

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

Telefonica (ElevenPaths)

9.1

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

Recommendations

SMB buyers

Prioritize solutions that are easy to deploy and manage, with a focus on automated data discovery and classification. Look for vendors that offer pre-built compliance templates and affordable pricing.

Mid-market buyers

Seek a balance between comprehensive features and cost-effectiveness. Consider solutions that offer granular access control, encryption, and data loss prevention capabilities.

Enterprise buyers

Focus on integration with existing security and data infrastructure. Prioritize solutions with agentless architecture, Data Detection and Response (DDR) capabilities, and Shadow AI governance.

Scoring methodology

The Palomarr scoring methodology evaluates vendors based on their capability and innovation across several key areas, including data discovery, classification, access governance, encryption, and compliance. Capability scores reflect the breadth and depth of a vendor's features, while innovation scores assess their ability to address emerging threats and market trends.

Implementation considerations

Implementing a data-centric security solution requires careful planning and execution. Organizations should start by assessing their existing data infrastructure and identifying sensitive data assets. Key considerations include data residency, compliance requirements, and integration with existing security tools. A phased rollout, starting with a high-value pilot, is recommended.

Future outlook

The data-centric security market is expected to continue growing rapidly, driven by the increasing volume and complexity of data, the evolving threat landscape, and the growing importance of data privacy and compliance. Future trends include the adoption of Privacy-Enhancing Technologies (PETs), Quantum-Safe Foundations, and Agentic AI Governance.

About this study

This report analyzes suppliers in the Data centric security space, evaluating capability and innovation scores based on a review of product features, customer feedback, and market presence. The analysis identifies key trends, competitive dynamics, and buyer recommendations to guide procurement teams in selecting the optimal DCS solutions for their needs.

FAQs & disclaimers

What is data-centric security?

Data-centric security focuses on protecting the data itself, rather than the network or infrastructure it resides on. This approach ensures that security policies remain persistently attached to information throughout its entire lifecycle.

Why is data-centric security important?

Data-centric security is critical for addressing the limitations of traditional network-centric security models in the face of cloud computing, hybrid workforces, and the increasing volume and complexity of data.

What are the key capabilities of a data-centric security solution?

Key capabilities include automated sensitive data inventory, context-aware classification, granular access governance, encryption, and audit readiness.

How do I choose the right data-centric security solution for my organization?

Consider your organization's specific needs and priorities, such as data residency, compliance requirements, and integration with existing security tools. Prioritize solutions that offer agentless architecture, Data Detection and Response (DDR) capabilities, and Shadow AI governance.

Disclaimer: The information contained in this report is for informational purposes only and does not constitute professional advice. Palomarr makes no warranties, express or implied, regarding the accuracy, completeness, or suitability of the information for any particular purpose. Any reliance on the information is at your own risk.

Conclusion

Data-centric security is no longer a "nice-to-have" but a fundamental requirement for organizations seeking to protect their most valuable assets. By shifting the focus from network perimeters to the data itself, organizations can mitigate the risks associated with data breaches, ransomware attacks, and regulatory non-compliance.

As the market evolves, procurement teams must prioritize solutions that offer automated data discovery, context-aware classification, granular access governance, and robust encryption capabilities to effectively safeguard their data in an increasingly complex and dynamic environment. Embracing a data-centric approach to security is essential for building a resilient and trustworthy organization.

The future of data-centric security will be shaped by the convergence of AI, quantum computing, and data safety. Organizations must proactively adopt automated, preventive controls directly into business processes, enabling data to be shared securely rather than just protected in isolation. This proactive approach is crucial for maintaining a competitive edge and fostering innovation in a data-driven world.

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Data centric security market map and supplier insights Q2 2026

DATA CENTRIC SECURITY

What does the latest data centric security market report show?

Palomarr Orbit

Palomarr Orbit Shift

Introduction

Market landscape

Key trends

AI-driven discovery

Agentless architecture

Data detection & response

Shadow AI governance

Competitive analysis

How companies earn their ranking

Rankings

Competitive assessment

Recommendations

SMB buyers

Mid-market buyers

Enterprise buyers

Scoring methodology

Implementation considerations

Future outlook

About this study

FAQs & disclaimers

Conclusion

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