Research
BlackSentinel Research focuses on advancing cybersecurity knowledge through technical analysis and original research. Our objective is to share practical knowledge that helps security professionals defend modern environments.
Threat Intelligence
Tracking threat actors, campaigns, and TTPs to provide actionable intelligence for defenders.
Malware Analysis
Deep technical analysis of malware samples, reverse engineering, and behavioral profiling.
Digital Forensics
Forensic methodologies for incident investigation, evidence collection, and attribution.
Detection Engineering
Building robust detection rules and logic for identifying malicious activity across environments.
Cloud Security
Research on cloud-native threats, misconfigurations, and hardening strategies for AWS, Azure, and GCP.
Active Directory Security
Analyzing AD attack paths, misconfigurations, and hardening techniques for enterprise environments.
Offensive Security
Red team research, exploit development, and adversarial simulation techniques.
API Security
Research on API vulnerabilities, authentication bypasses, and secure API design patterns.
Artificial Intelligence Security
Securing AI systems and leveraging AI for advanced threat detection and response.
Zero Trust
Research on zero trust architecture implementation, verification, and continuous validation.
Detection Rules
Developing and sharing detection rules for SIEM, EDR, and NDR platforms.
Security Automation
Automating security workflows, response procedures, and operational tasks.
Threat Hunting
Proactive threat hunting methodologies and hypothesis-driven investigation techniques.
Vulnerability Research
Discovering and analyzing vulnerabilities in software, firmware, and protocols.
CVE Analysis
In-depth analysis of critical CVEs, impact assessment, and mitigation guidance.