DeepKeep
Shani Shalgi is a seasoned professional in machine learning and cognitive science with extensive experience in research and development. Currently serving as a Senior ML Engineer at DeepKeep since March 2024, Shalgi also holds the position of Director of R&D at Demystify, a startup co-founded in January 2019, leading agile development and overseeing frontend, backend, and data science teams. Previous roles include Algorithm Developer & Researcher at Fifth Dimension Ltd, Head of Neuroscience Research at InnerEye, and EEG Research Manager at Nir Sleep Lab. Shalgi's academic credentials include a PhD in Cognitive Science from The Hebrew University of Jerusalem and a postdoctoral fellowship in Sleep Research at Tel Aviv University.
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DeepKeep
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Artificial intelligence is creating the world’s largest and most unpredictable surface area with limitless borders, content generation and contributors across diverse source domains, models and datasets. Only AI-Native security - built itself with generative AI - can protect the boundless connections and intricate logic of known and unpredictable vulnerabilities. DeepKeep's AI security safeguards machine learning pipelines, promoting unbiased, error-free, and secure AI solutions. This includes risk assessments and confidence evaluation, protection, monitoring, and mitigation from the research and development phase of machine learning models through the entire product lifecycle. DeepKeep’s enterprise software platform provides a suite of AI protection tools for the entire AI development and deployment lifecycle. DeepKeep protects ML systems by providing real-time attack detection and alerting, vulnerability assessment of pre/post-deployment models, and advanced tools for hardening and deploying ML according to policies.