All news with #wazuh tag

Ransomware Defense with the Wazuh Open Source Platform

🛡️Wazuh is a free, open-source security platform that provides SIEM and XDR capabilities to detect, prevent, and respond to ransomware. The article highlights Wazuh features such as file integrity monitoring, vulnerability detection, security configuration assessment, and automated active responses. It illustrates rule-based detections and automated remediation using practical examples (DOGE Big Balls, Gunra) and discusses Windows integration for VSS-based recovery. The coverage frames Wazuh as a practical, extensible tool for multi-layered ransomware defense.

AI in Today's Cybersecurity: Detection, Hunting, Response

🤖 Artificial intelligence is reshaping how organizations detect, investigate, and respond to cyber threats. The article explains how AI reduces alert noise, prioritizes vulnerabilities, and supports behavioral analysis, UEBA, and NLP-driven phishing detection. It highlights Wazuh's integrations with models such as Claude 3.5, Llama 3, and ChatGPT to provide conversational insights, automated hunting, and contextual remediation guidance.

Open-Source OT Security: Cost-Effective Industrial Defense

🔒 Open-source tools can provide a cost-effective, flexible foundation for operational technology (OT) security in industrial environments. By combining passive asset discovery, protocol-aware inspection, IDS/IPS, centralized logging and vulnerability management, organizations can approximate many capabilities of expensive commercial offerings. Recommended components include Malcolm (with Zeek), Security Onion, ELK, Wazuh and OpenVAS, augmented by asset sources like NetBox. Successful deployment requires experienced OT/IT teams or external consultants to configure, tune and maintain the stack, and is not a plug-and-play substitute for vendor support.

OT Security Strategy: The Case for Open Source Tools

🔒 Industrial digitization and interconnected production make OT security a strategic priority, as attacks on SCADA, networked machines and production data can cause outages, reputational harm and even life‑threatening incidents. Faced with budget pressure, the article explores cost‑efficient open-source alternatives that can approach commercial capability. It outlines recommended tool combinations and operational caveats.