We are looking for a Security Researcher to join our Windows EDR behavioral detection team. You will create statistics-based classification algorithms to detect new malware, process behavior anomalies, and attackers in enterprise networks using data from multiple Windows endpoints. This involves analyzing attack patterns, finding statistical anomalies, and validating detections against real attacks and APTs on customer data.
Key Responsibilities
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data.
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities.
Take an active role in our collection modules by improving existing ones and investigating new ones to improve detection quality.
Simulate attacks in the lab and conduct a deep analysis of the behavior.
Be part of a diverse research group, improving our research processes to create a better product.
Stay up to date with APTs, attacker methodologies, and TTPs.
Key Responsibilities
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data.
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities.
Take an active role in our collection modules by improving existing ones and investigating new ones to improve detection quality.
Simulate attacks in the lab and conduct a deep analysis of the behavior.
Be part of a diverse research group, improving our research processes to create a better product.
Stay up to date with APTs, attacker methodologies, and TTPs.
Requirements:
In-depth knowledge of the inner-workings of operating systems (Especially Windows).
Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise networks.
Vast experience and interest in malware research or development.
Python software development experience.
Comfortable conducting research and gathering insights by querying large databases.
Ability to drive and own projects.
Independent and team player, critical thinker.
Preferred Qualifications
Experience in machine learning or data analysis.
Reverse engineering knowledge and experience.
Advanced knowledge of Microsoft AD infrastructure.
Exploitation knowledge and experience.
In-depth knowledge of the inner-workings of operating systems (Especially Windows).
Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise networks.
Vast experience and interest in malware research or development.
Python software development experience.
Comfortable conducting research and gathering insights by querying large databases.
Ability to drive and own projects.
Independent and team player, critical thinker.
Preferred Qualifications
Experience in machine learning or data analysis.
Reverse engineering knowledge and experience.
Advanced knowledge of Microsoft AD infrastructure.
Exploitation knowledge and experience.
This position is open to all candidates.
