Security Research Intern

As a Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defenders mission to stop attacks in near real-time. Under the mentorship of experienced researchers, you will analyze real-world attacker TTPs (Tactics, Techniques, and Procedures), reasoning over large-scale datasets to write logic that autonomously identifies and disrupts attackers before they can achieve their objectives.

This role requires applied security research expertise, big data analysis capabilities, and engineering skills to deliver production-ready protection at a global scale. This is your chance to see your research findings transformed into live defense logic that protects millions of users.

Responsibilities

Investigate real-world advanced attacker TTPs to support the development of high-fidelity protection logic across complex cross-domain kill-chains.

Apply security expertise to analyze massive telemetry sets using big-data query languages (KQL), reason

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Required Qualifications

Must have at least 3 additional semesters before graduation - graduation date Summer 27 or later.

Proven hands-on experience in security research, threat hunting, or detection engineering roles (e.g., from specialized military service, previous internships, or a significant portfolio of independent research/investigation).

Proficiency in Python, C#, or similar languages, with a focus on writing clean, functional, and scalable code.

Preferred Qualifications

Currently pursuing a Bachelor's or Masters Degree in Statistics, Mathematics, Computer Science or related field.

Deep understanding of the modern threat landscape, including hands-on familiarity with lateral movement techniques, credential theft, or cloud-native attack vectors.

Previous experience reasoning over large-scale datasets using big-data query languages (KQL/Kusto, SQL, or similar) to identify novel malicious patterns and drive evidence-based research decisions.

A proven "Hunter