AI-Driven Cyber Threat Anomaly Detection
This AI solution uses machine learning and generative AI to detect anomalous behavior across networks, endpoints, cloud workloads, and DevOps environments in real time. By automating intrusion detection, malware analysis, SOC workflows, and cyber threat intelligence, it accelerates threat response, reduces breach risk, and lowers the operational cost of security at scale.
The Problem
“Your security team can’t keep up with modern attacks or the alert flood”
Organizations face these key challenges:
SOC analysts drown in noisy alerts from SIEM, EDR, and cloud tools while real threats slip through undetected for days or weeks
Manual correlation across network, endpoint, cloud, and DevOps logs is slow and inconsistent, so root-cause analysis and containment are delayed
Existing rule/signature-based controls miss novel or low-and-slow attacks, while constant tuning to reduce false positives burns expensive analyst time
Security coverage can’t scale with cloud and DevOps growth without hiring more scarce, costly security engineers