Preeti solves security problems at scale with data driven methods and software as appropriate. Her research interest spans forward looking AI for security as well as security for AI.
She has experience developing and operationalizing machine learning differentiator solutions in security operations, attack surface management and endpoint protection. Her value proposition is working cross-functionally to help security product R&D teams as well as enterprise security teams succeed in adopting data driven practices to deliver business value. She gives back to the cybersecurity community by sharing her work at conferences and supporting women in cybersecurity through mentoring.
She is currently a Principal Research Engineer responsible for developing new product initiatives and making sense of emerging technologies in the security problem space. Preeti has held different roles such as Security Researcher, Data Scientist and Security Engineering Manager. She holds a Masters Degree with a cybersecurity specialization from Carnegie Mellon University.