Required Senior Security Researcher, Data & AI (Cortex)
Your Career:
Are you passionate about using cutting-edge technology to help protect the world against cyber threats? Do you live and breathe the cyber security world? Do you want to take part in an innovative and disruptive AI security group that has an impact on many customers?
You will be part of a strong security research and data science team who solve highly complex security challenges using disruptive technologies, ML algorithms and a lot of data.
As part of that, you will take part in the design and development of new groundbreaking AI security solutions which make a direct impact on many customers.
We value diverse viewpoints and experiences, as we are solving complex cyber security challenges. We are committed to a safe and inclusive workspace.
Your Impact:
Transform Data into Defense: Take the lead in creating high-fidelity security incidents from a massive stream of alerts generated by our industry-leading advanced security solutions.
Innovate with AI: Actively participate in cutting-edge research projects focused on creating novel prevention content at scale using state-of-the-art AI and Large Language Models (LLMs).
Drive Security Efficacy: Analyze complex threat data to identify attacker patterns, develop new prevention methodologies, and enhance automated flows to rapidly protect Cortex platform customers.
Collaborate and Lead: Work side-by-side with top-tier data scientists, engineers, and product managers to translate research ideas into tangible, customer-facing security protections.
Requirements: 5+ years of hands-on experience in the cybersecurity research field.
Deep expertise in analyzing data from security products such as EDR, SIEM, or NDR.
Strong understanding of OS internals (Windows, Linux, or macOS) and how they relate to threat detection and forensics.
Experience with cloud security, including the detection of threats and misconfigurations in major cloud environments (e.g., AWS, GCP, Azure).
Proven ability to investigate and contextualize disparate security alerts to construct a full attack narrative.
Strong proficiency in a scripting language, with Python being highly preferred for data analysis and prototyping.
Hands-on experience with query languages and databases (e.g., SQL, KQL).
A scientific, data-driven approach to problem-solving, with experience.
This position is open to all candidates.