Technical Description
This invention relates to the domain of malware analysis and cybersecurity, specifically focusing on early identification of cyber attacks through an adaptive detection framework. It utilizes system state evaluation and dynamic resource allocation to identify malicious behavior at different stages of the attack lifecycle.
Problems Addressed
- Lacks Easy Visibility
- Inefficient Differentiation
- High False Positives
- Heavy System Overheads
- Unbounded Monitoring Needs
- Poor Threat Adaptation
Tech Features
- Efficient Early Detection
- Enhanced User Security
- Optimized Detection Overheads
- Adaptive Resource Allocation
- Reduced False Positives
- Adaptive Threshold Tuning
- Improved Long Term Monitoring
Target Audience
- Cybersecurity Solution Providers
- Cloud Service Providers & Datacenters
- Endpoint Protection & Antivirus Companies
- Cyber Defense Agencies
- Research & Development
Tech ID: P32-1760 TRL 4 Patent Status: Published Available For Exclusive and Non-exclusive License
