Leveraging Large Language Models for SQL Behavior-Based Database Intrusion Detection

Database systems are extensively used to store critical data across various domains. However, the frequency of abnormal database access behaviors, such as database intrusion by internal and external attacks, continues to rise. Internal masqueraders often have greater organizational knowledge,...

Reverse Engineering the Analyst: Building Machine Learning Models for the SOC

Many cyber incidents can be traced back to an original alert that was either missed or ignored by the Security Operations Center SOC or Incident Response IR team. While most analysts and SOCs are vigilant and responsive, the fact is they are often overwhelmed with alerts. If a SOC is unable to...