Temitope8630/Industry-Focused-Threat-Hunting-APT-TTP-Mapping-Control-Alignment

# Industry-Focused-Threat-Hunting-APT-TTP-Mapping-Control-Alignment ## Overview This project focuses on **industry-driven threat hunting methodologies**, with emphasis on **Advanced Persistent Threat (APT) behavior analysis**, **Tactics, Techniques, and Procedures (TTPs) mapping**, and **security control alignment**. The goal is to improve enterprise detection capabilities by connecting real-world attacker behavior with defensive security controls, enabling stronger incident response and proactive threat detection. ## Objectives - Identify and analyze real-world APT attack patterns - Map adversary TTPs using frameworks such as **MITRE ATT&CK** - Align detected TTPs with existing security controls - Improve detection coverage across enterprise environments - Strengthen proactive threat hunting capabilities ## Key Focus Areas ### 1. Industry-Focused Threat Hunting - Behavioral-based detection strategies - Hypothesis-driven threat hunting approach - Analysis of attacker activity in enterprise environments ### 2. APT-TTP Mapping - Mapping adversary techniques using **MITRE ATT&CK framework** - Identifying kill chain stages in real-world attacks - Correlating indicators of compromise (IOCs) and behavior patterns ### 3. Control Alignment - Mapping security controls (SIEM, EDR, firewalls, IAM) to detected TTPs - Identifying detection gaps and blind spots - Enhancing preventive and detective control coverage ## Frameworks & Tools - MITRE ATT&CK Framework - SIEM Platforms (e.g., Splunk, Sentinel, Elastic Stack) - Endpoint Detection & Response (EDR) - Log Analysis Tools - Threat Intelligence Feeds - Cyber Kill Chain Model ## Use Cases - SOC Analyst threat detection workflows - Threat Intelligence research and reporting - Security engineering control validation - Red team vs Blue team simulation analysis - Cybersecurity training and skill development ## Expected Outcomes - Improved visibility into attacker behavior - Better alignment between detection tools and real threats - Reduced detection gaps in enterprise environments - Enhanced incident response readiness ## Future Improvements - Integration with real-time SIEM dashboards - Automated TTP mapping scripts - Machine learning-based anomaly detection - Expanded threat intelligence correlation module ## Author **ADABANIJA TOHEEB** Focused on advancing practical threat hunting and defensive security engineering capabilities. ## License This project is intended for educational and defensive cybersecurity research purposes only.