A machine learning framework for investigating data breaches based on semantic analysis of adversary’s attack patterns in threat intelligence repositories

With the ever increasing cases of cyber data breaches, the manual process of sifting through tons of security logs to investigate cyber-attacks is error-prone and time-consuming. Signature-based deep search solutions only give accurate results if the threat artifacts are precisely provided. With the burgeoning variety of sophisticated cyber threats having common attack patterns and utilizing the same attack tools, a timely investigation is...