Security Research Intern - AI Focus

As an AI Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defender's mission to stop attacks in near real-time. Under the mentorship of experienced researchers, use AI to analyze real-world attacker TTPs and build systems that autonomously detect and disrupt attacks before adversaries reach their goals, including agentic pipelines and LLM-based threat analysis.

This role requires a blend of applied security research expertise, AI fundamentals, and engineering skills to deliver production-ready protection at a global scale. This is your chance to see your AI-powered research transformed into autonomous defense systems that protects millions of users.

Responsibilities
Investigate real-world advanced attacker TTPs and apply AI techniques (LLMs, agentic workflows) to support the development of high-fidelity, AI-augmented protection logic across complex cross-domain kill-chains.
Apply security expertise combined with AI-driven metho

דרישות:

Required Qualifications
Must have at least 3 additional semesters before graduation - graduation date Summer 27 or later.
Available to work 3 days a week.
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.
Hands-on experience with AI technologies, whether through building ML models, working with LLMs and prompt engineering, experimenting with agentic frameworks, or applying AI to academic or personal projects - and a genuine passion for using AI to solve real-world problems.

Preferred Qualifications
Currently pursuing a Bachelor's or Masters Degree in Statistics, Mathematics, Computer Science, Data Science, AI/Machine Learning, or related field.
Deep understanding of the modern threat landscape,