Key Objectives:
- Investigate the potential use of AI technologies, particularly those based on OpenAI, to enhance and streamline security investigations within a SOC.
- Explore the integration of machine learning functions available in Kusto Query Language (KQL) for security investigations.
- Gain a deeper understanding of security concepts, mathematics relevant to AI/ML, and the ability to create complex query statements in KQL.
Tasks and Responsibilities:
During your internship, you will be expected to:
- Conduct in-depth research on existing AI/ML technologies and their applications in cybersecurity, with a focus on OpenAI.
- Collaborate with the SOC team to understand their investigation processes and identify areas where AI/ML can add value.
- Experiment with OpenAI-based models and tools to develop proof-of-concept solutions that can assist in security investigations.
- Investigate and document the ML functions and capabilities within Kusto Query Language (KQL) that are relevant to security investigations.
- Develop and present reports or presentations on your findings, including recommendations for the integration of AI/ML technologies in SOC investigations.
Skills/Knowledge Required:
- Basic knowledge of security concepts, including understanding common threats, vulnerabilities, and incident response procedures.
- Proficiency in mathematics, particularly in areas relevant to machine learning algorithms and statistics.
- Ability to create complex query statements in Kusto Query Language (KQL) or a willingness to learn this skill during the internship.
- Strong analytical and problem-solving skills.
Outcome and Deliverables:
- A comprehensive report detailing your research findings, including a review of AI/ML technologies and their potential applications in SOC investigations.
- Proof-of-concept solutions, if applicable, demonstrating the practical use of AI/ML in security investigations.
- Documentation of ML functions within Kusto Query Language (KQL) that can aid in security investigations.