CapeLabs

Innovative Cybersecurity Solutions

Research in Kernel Observability, Container Security, AI-driven Security, and Cyber Threat Intelligence

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About CapeLabs

CapeLabs is an innovative research group dedicated to researching and developing cutting-edge cybersecurity technologies. We tackle digital security challenges with specialized expertise in advanced kernel instrumentation for Windows, AI-driven security solutions, and comprehensive threat intelligence platforms.

Through our approach of integrating security into the modern software development lifecycle, we help organizations innovate safely in a rapidly evolving threat landscape.

Key Research Areas

Container Security

Pioneering research on extending advanced kernel monitoring capabilities to Windows environments, creating cross-platform security observability solutions

AI-Enhanced Security Solutions

Advanced research on applying machine learning and AI for predictive threat detection, automated vulnerability assessment, and intelligent security orchestration

Threat Intelligence Systems

Development of comprehensive platforms for gathering, analyzing, and distributing actionable cyber threat intelligence to prevent emerging security threats

Vulnerability Analysis Framework

Research on advanced methodologies for systematic identification and analysis of security vulnerabilities across diverse computing environments

Core Technologies

Advanced Kernel Observability

Sophisticated system monitoring through kernel-level instrumentation with specialized focus on Windows environments for comprehensive security visibility

AI-driven Security Technologies

AI-powered solutions for vulnerability detection, threat prevention, and automated security response systems

Cyber Threat Intelligence

Comprehensive threat intelligence platform providing real-time data on emerging threats, attack patterns, and indicators of compromise

Security Vulnerability Analysis

Advanced tools and methodologies for identifying, analyzing, and remediating security vulnerabilities across various systems and platforms

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