vectranetworks · San Jose, CA; Austin, TX; Boston, MA; Dublin, Ireland; US - Remote
Skills: Python
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. This is a hybrid role for San Jose, CA; Austin, TX; Boston, MA; or Dublin, Ireland Position Overview Vectra AI’s Security Research team studies how attackers operate and turns that knowledge into capabilities that help customers find and respond to threats. We are looking for a Senior Security Researcher to help define and investigate the security challenges created by enterprise AI adoption and AI-enabled attackers. You will study how agents, copilots, AI-connected applications, and their identities can be misused or compromised. You will also examine how attackers use AI to accelerate familiar attack techniques. Your research will connect activity across identity, cloud, and network environments, with a focus on what customers can observe, investigate, and act on. This is an emerging area: you will help test assumptions, identify gaps in visibility, and shape the work that follows. What You Will Do Develop threat models for enterprise AI systems and agent-mediated activity, including delegated access, service and workload identities, cloud agent infrastructure, connectors, and downstream actions. Investigate how AI changes attacker operations, including the speed, scale, sequencing, and coordination of reconnaissance, credential abuse, lateral movement, and data theft. Recreate realistic attack and misuse scenarios in controlled environments. C…
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