Security Researcher at Dynatrace specializing in cloud native security and runtime threat detection.
- Focus Areas: Vulnerability Analysis, Kubernetes Security, Runtime Detection, AI/ML for Threat Detection
- Research: Identity Attacks, IoT Security, Container Security, Exploitation Frameworks
- Current Work: Building open source security tools, cloud threat detection systems, vulnerability testing frameworks
- Contributing: Cilium Tetragon ecosystem, cloud security projects
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Detect CryptoJacking attacks using runtime analysis and behavioral detection techniques.
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MCP server implementation for Tetragon, enabling AI-powered security observability workflows.
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k8s-exploit-toolkit · Dynatrace OSS Comprehensive security testing framework for Kubernetes environments, designed for educational and defensive security testing.
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Tool for quickly switching between multiple GitHub accounts from the command line.
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Container misconfigurations -- From theory to exploitation Practical exploration of container vulnerabilities and exploitation techniques
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Kubernetes misconfiguration attack paths Attack vectors stemming from K8s misconfigurations and defensive approaches
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Understanding Kubernetes security misconfigurations Foundation of Kubernetes configuration security issues
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Apache Struts CVE-2024-53677 Analysis Vulnerability analysis and detection indicators
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| Key Publications | Patent Portfolio |
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| Machine Learning Model for Classifying Unsolicited IoT Devices 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 2018 |
System and Method for Cybersecurity Reconnaissance, Analysis, and Score Generation US Patent 11,297,109 · 11,924,251 · 12,335,317 |
| Internet of Malicious Things: Correlating Active and Passive Measurements IEEE Communications Magazine, Vol. 56(9), pp. 170-177, 2018 |
Detecting and Mitigating Golden SAML Attacks Against Federated Services US Patent 11,552,968 · 11,818,150 |
| Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution IEEE/IFIP Network Operations and Management Symposium (NOMS), 2023 |
Cybersecurity Analysis and Protection Using Distributed Systems US Patent 11,968,235 · 12,267,369 |
Open to collaborations on security research and cloud native security projects