- Lead the integration of AI security agents with existing SIEM, SOAR, and XDR systems and data platforms, ensuring seamless connectivity and data transformation.
- Collaborate with security operations teams to gather requirements and ensure AI agents can effectively utilize security data.
- Design and implement scalable and high-performance data transformation processes to optimize AI agent functionality.
- Develop and maintain data feeds compatible with frameworks like MITRE ATT&CK to enhance threat intelligence.
- Build and organize security information platforms to support the deployment and operation of AI security agents.
- Build and integrate security content to be leveraged by AI security agents
- Extensive experience in developing and integrating SIEM and XDR systems, with hands-on knowledge of products such as IBM QRadar, Splunk, Microsoft Sentinel, Palo Alto Cortex XSOAR/XSIAM, Crowdstrike Falcon, etc.
- Experience with formats leveraged in security operations such as ECS, CIM, OCSF, Sigma, STIX/TAXII, etc.
- Strong background in threat intelligence, detection engineering, and cybersecurity analytics.
- Proficiency in programming with Python and experience with cloud platforms, particularly AWS.
- Proven track record of working closely with security operations centers, threat intelligence teams, and incident response processes.
- Familiarity with machine learning and AI techniques as applied to cybersecurity.
- Willingness to work with clients as necessary
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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.
