Threat Hunting AI
Advanced neural networks constantly hunt for zero-day vulnerabilities across a company's internal servers, detecting breaches hours before existing systems.
Project Details
A full breakdown of the features and modules delivered as part of this project.
Category
Cybersecurity
Year
2024
Duration
8 Months
Stack Size
5 Technologies
Key Features
6 ModulesNeural network anomaly detection identifying slow data exfiltration and lateral server movement.
Petabyte-scale network traffic log ingestion via Apache Flink stream processing.
Automated Level-1 incident containment isolating compromised nodes without human intervention.
Live network topology graph visualization showing active threat vectors and affected nodes.
Threat intelligence integration pulling from global CVE and IOC databases in real time.
Compliance reporting module generating SIEM-compatible logs for SOC audit requirements.
Key Results & Impact
Measurable business outcomes delivered through this project.
Reduced mean time to detect (MTTD) breaches from 12 hours to less than 4 minutes.
Dropped false-positive alert volume by a staggering 92%.
Automated Level 1 incident response containment, preventing lateral movement instantly.
Secured over $50B in assets under management across a global 10,000-node network.