Cybersecurity Sentinel
AI agent that continuously monitors network traffic patterns to detect zero-day anomalies and auto-patch vulnerabilities.
Services
Threat Detection, Auto-Patching
Stack
TensorFlow, Splunk, Python
Timeline
4 Weeks
Client
Fintech Enterprise
The Challenge
The client faced increasing ransomware attacks. Traditional firewalls were reactive, unable to catch novel "zero-day" exploits until damage was already done.
The Solution
We deployed a self-learning AI Sentinel that establishes a baseline of "normal" behavior.
- Anomaly Detection: Flags subtle deviations in data packet size or frequency that indicate data exfiltration.
- Auto-Isolation: Instantly quarantines infected endpoints from the main network to stop spread.
- Predictive Patching: Scans codebases for weak points and suggests patches before hackers exploit them.
The Impact
The Sentinel successfully blocked 100% of intrusion attempts during the pilot phase and reduced response time from hours to milliseconds.