Wazuh AI
Wazuh AI is an AI-powered Cybersecurity tool — Open-source AI security information platform. Best for: Cybersecurity & Fraud Detection. Pricing: Free (GateOnAI Score: 55/100).
Open-source AI security information platform
Provides real‑time security monitoring and threat analysis by aggregating logs, host data, and network events into a unified view. The platform correlates alerts with AI‑driven models to highlight anomalous behavior that traditional signatures miss. It runs on Linux servers and can be deployed on‑premises or in cloud environments, keeping all data under the organization’s control. Wazuh AI extends the core open‑source Wazuh stack with machine‑learning modules that score risk and suggest remediation steps. Key capabilities include log collection from over 500 sources, file integrity monitoring, rootkit detection, and vulnerability assessment integrated with CVE feeds. The AI layer adds behavioral profiling, unsupervised clustering of event sequences, and predictive scoring for emerging threats. Users can define custom detection rules via YAML, while the built‑in REST API enables automation of alerts and ticket creation. Interactive dashboards present heatmaps, timeline graphs, and asset risk rankings, and the system supports export to Elastic Stack for deeper analytics. Ideal for security operations centers, compliance auditors, and DevSecOps teams that need a cost‑free, extensible SIEM solution. The platform replaces multiple point products by handling log aggregation, intrusion detection, and compliance reporting in one stack. Because it is open source, organizations can audit the code, contribute improvements, and avoid vendor lock‑in. Wazuh AI offers a free license with no usage caps, and commercial support is optional through the parent company. Compared with proprietary AI SIEMs, it delivers comparable detection breadth while keeping total cost of ownership low today.
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