As a Threat Hunter Analyst, you will lead projects in cybersecurity product development, focusing on autonomous AI agents for enhancing threat detection algorithms and automating threat intelligence. Responsibilities include designing AI algorithms, implementing SIEM cases, conducting data analysis, and integrating new threat indicators. You will provide expert guidance on SIEM solutions and work closely with various teams to improve threat detection capabilities.
As a Threat Hunter Analyst, you will play a crucial role in our product development team by contributing to the design and implementation of autonomous AI agents for cybersecurity. Your expertise will guide the development of advanced threat detection algorithms and the creation of training datasets that enable these agents to identify and mitigate cyber threats proactively. This position requires a deep understanding of the cyber threat landscape and the ability to translate this knowledge into effective AI-driven solutions.
- Lead projects focused on the development of cybersecurity products, including the automation of threat intelligence and the integration of this intelligence into AI-driven threat hunting processes.
- Develop and refine AI algorithms for threat detection and response, using machine learning to achieve high accuracy and low false positives in autonomous agents.
- Design and implement SIEM use cases within our product offerings, continuously enhancing the AI's ability to detect threats and identify hunt engagement opportunities.
- Conduct Investigative Data Analysis (IDA) to create high-quality training datasets from diverse data types and log sources, improving the AI's detection capabilities.
- Oversee the development and maintenance of an analytical content library to train AI agents on monitoring and detecting advanced, emerging threats in simulated environments.
- Research and integrate new indicators of compromise (IOCs) into our products, continuously updating the AI's threat detection capabilities based on the latest adversarial tactics, techniques, and procedures (TTPs).
- Proven experience as a principal contributor to cyber threat detection projects with a strong background in data science, cyber threat intelligence, and SIEM systems.
- Expertise in using the MITRE ATT&CK framework for threat actor attribution and in conducting advanced traffic analysis to detect sophisticated cyber threats such as RDP Tunneling, Reflective DLL Loading, and Kerberoasting.
- Experience in threat hunting using data from web-proxy and network logs, and the ability to correlate disparate data sources to derive comprehensive threat landscapes.
- Ability to work closely with incident response teams, providing expert guidance on SIEM engagement and supporting both analyst and data science efforts in threat detection.
- Strong leadership skills with experience in supervising teams responsible for developing security analytics content and maintaining threat hunting repositories.
- Excellent communication and collaboration skills, capable of working with automation and development teams to enhance operational efficiency and technology integrations for improved threat hunting.
Top Skills
AI
Machine Learning
SIEM
Similar Jobs
Be an Early Applicant
As a Cyber Threat Hunting and Intelligence Analyst at Marvell, you will identify and respond to cyber threats, develop detection logic, and create response playbooks. Your role involves threat intelligence reporting, forensic analysis, and collaboration with global teams to enhance cybersecurity measures and protect Marvell's assets.
The Senior Data Scientist will collaborate with cross-functional teams to apply technical expertise in quantitative analysis and experimentation to develop business strategies. They will create insights to enhance products, measure success through metrics, and influence strategy decisions based on data-driven recommendations.
Be an Early Applicant
The Quantitative Research Associate will develop mathematical models for equity derivatives, assess model appropriateness, implement risk measurement and valuation, and design numerical algorithms. The role requires collaboration with stakeholders and effective communication of model behaviors and risks.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.