C-Sentinel: System prober that captures "system fingerprints" for AI analysis (github.com)

C-Sentinel has launched as a lightweight, portable system prober designed for UNIX systems, capturing "system fingerprints" to facilitate AI-assisted analysis of hidden risks. This innovative tool integrates with auditd for detailed security monitoring and features a sophisticated web dashboard that supports multi-user authentication, two-factor authentication, and explains risk scores clearly. With capabilities for continuous monitoring, users can quickly identify anomalies like unauthorized access attempts and deviations from typical system behavior. The significance of C-Sentinel lies in its ability to provide deeper insights than traditional observability tools, which often focus merely on metric thresholds. By synthesizing data points and employing causal reasoning, C-Sentinel helps identify non-obvious degradation trends and security threats, effectively uncovering the "ghosts in the machine." Its explainable risk factors and baseline learning features allow organizations to adaptively understand their security posture, making it a valuable asset for enhancing the reliability and safety of systems in an increasingly complex digital landscape.