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Cybersecurity

Cybersecurity is the practice that protects computers, digital systems, networks, and data. We explore top use cases, solutions, and market data to guide strategic decisions.

Explore Cybersecurity

Top 16 UEBA Use Cases for Today's SOCs in 2026

UEBAApr 2

Traditional security measures, such as web gateways, firewalls, IPS tools, and VPNs, are no longer sufficient to defend against modern cyberattacks. Attackers routinely operate using valid credentials that rule-based tools never flag. UEBA systems address this gap by monitoring non-user entities alongside human users, using machine learning to establish behavioral baselines and detect deviations.

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SOARMar 25

10 SOAR Use Cases with Real-World Workflow Examples

Generic SOAR use cases rarely hold up in practice; the right automation depends entirely on your environment, alert volumes, and how your SOC is structured. The use cases below are tailored to specific scenarios and include step-by-step workflow breakdowns.

Data Loss PreventionMar 17

Data Loss Prevention (DLP): Types & 6 Challenges

The increased mobility introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software needs to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk.

Data Loss PreventionMar 17

Top 10 Mobile DLP Best Practices & Case Studies

Employees access files, send emails, and use business apps on mobile devices such as smartphones and tablets, which creates new risks. Mobile devices often pose vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps.

Security ToolsMar 11

Top 6 Open-Source Log Analysis Tools: Wazuh, Graylog & More in 2026

As a CISO in a highly regulated industry with ~2 decades of cybersecurity expertise, I have worked with multiple SIEM-like log analysis platforms. From those, I picked the top 6 open-source log analysis tools.

Data Loss PreventionMar 6

Top 7 Open-Source DLP Software

While open-source DLP software offers viable solutions for data protection, larger enterprises often turn to closed-source DLP software solutions for enhanced centralized key management and cloud-native deployment options. Below are the top five open-source DLP tools, evaluated for detection accuracy, deployment complexity, and community support.

Security ToolsMar 5

Top 6 Open Source Sensitive Data Discovery Tools 

The following tools are selected based on GitHub activity and sorted by GitHub star count in descending order. They cover the main use cases for sensitive data discovery: metadata cataloging with lineage, agentless scanning, and API-based detection of PII, PCI data, and credentials at rest. Read more: Sensitive data discovery & classification tools, DLP software.

SIEMMar 2

Top 13 Open Source SIEM Tools

There is no single open-source tool that delivers a complete, production-ready SIEM out of the box. Every option involves a trade-off: you either get a purpose-built SIEM with gaps in analytics, or a powerful logging and analytics stack that requires you to wire in security detection yourself.

Data Loss PreventionFeb 27

Top 10 Microsoft Purview Alternatives

Though Microsoft Purview is a popular DLP software, it can be hard to use and provides limited policy customization options. We analyzed the top 6 DLP products across four dimensions to identify the top Microsoft Purview alternatives.

SOARFeb 23

Top 5 Open Source SOAR Tools

I’ve spent nearly two decades as a CISO in heavily regulated industries long enough to have tested, deployed, and ripped out more SOAR tools than I’d like to admit. Most open-source options look promising on documentation, but fall apart when you actually run them in production.

MicrosegmentationJan 28

Top 10 Open Source Micro Segmentation Tools in 2026

Traditional network segmentation doesn’t work for microservices. IP addresses and ports can’t protect API communications when services spin up and down dynamically across containers. Large enterprises running microservices architectures need different approach: identity-based segmentation that follows services wherever they run.