Compare the Top Cybersecurity Software for Linux as of February 2026

What is Cybersecurity Software for Linux?

Cybersecurity software is a category of technology used to protect computers and networks from malicious attacks. It operates by monitoring activity and blocking suspicious activity, as well as providing advanced security features such as encryption and authentication. It's an important tool for businesses to help ensure the safety of their data and systems. Compare and read user reviews of the best Cybersecurity software for Linux currently available using the table below. This list is updated regularly.

  • 1
    Graylog

    Graylog

    Graylog

    Graylog is an AI-powered SIEM and log management platform built for real-world security teams. It centralizes logs and security data across cloud, on-prem, and hybrid environments to help teams detect threats faster, investigate smarter, and control data costs—without vendor lock-in. Graylog combines scalable log management with practical, explainable AI to reduce alert noise, prioritize real risk, and guide investigations from alert to resolution. Selective ingestion and intelligent data tiering keep SIEM costs predictable, while built-in detections, correlation, threat intelligence, and guided workflows help lean teams operate efficiently. With flexible deployment, open integrations, and solutions for Security Operations, IT Operations, and API Security, Graylog gives organizations clear visibility, faster response, and full control over their data—without unnecessary complexity.
    Starting Price: $1250/month
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  • 2
    Cequence Security

    Cequence Security

    Cequence Security

    Start analyzing and protecting your APIs with passive, inline or API-based integration with any existing network component – API gateway, proxy, CDN or ingress controller. Predefined policies, fine-tuned using threat patterns observed in protecting billions of API transactions per day delivers unmatched, out-of-the-box protection. A rich user interface and an open, API-based architecture enables integration with threat intelligence feeds, CI/CD framework tools, other security components, and SIEM/SOAR/XDR solutions. Patented ML-based analysis eliminates JavaScript and SDK integration pen-alties such as extended development cycles, slow page loads and forced mobile-app upgrades. ML-based analysis generates a unique Behavioral Fingerprint to determine malicious intent and continually tracks attackers as they retool.
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