Security2023
CyberGuard AI
Zero-trust architecture implementation for a Fortune 500 logistics firm utilizing anomaly detection to prevent breach attempts.
99.9%
Threats Blocked
<10ms
Response
LogistiCorp
Client
The Challenge
Securing a distributed supply chain network with thousands of endpoints against sophisticated ransomware attacks.
The Solution
Implemented a Zero Trust Network Access (ZTNA) model and trained custom ML models to detect anomalous traffic patterns in real-time.
Key Results
Blocked 99.9% of potential threats and reduced false positives by 60% compared to the previous solution.
Tech Stack
GoKubernetesRust
Services Provided
- Backend Engineering
- UI/UX Design
- Cloud Infrastructure
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