DeepKeep
Yossi Altevet has a diverse work experience spanning several companies and roles. Yossi most recently worked at DeepKeep as the Chief Technology Officer (CTO). Prior to that, they were a Senior Product Innovation Manager in the CTO Office at HCL Enterprise, where they focused on optimizing next-generation networks using AI and managing cross-BU products. Before that, they served as the Director of Product Innovation in the CTO office at DriveU.auto, leading innovation projects and leveraging machine learning knowledge. Yossi also held positions at GlobalLogic, Cisco, Jungo, Comverse, and V-Secure, where they gained experience in product management, business development, and leading R&D teams. Overall, Yossi has a strong background in technology-driven innovation and strategic leadership.
Yossi Altevet earned a Bachelor of Arts degree with honors in Mathematics and Computer Science from the University of Haifa between 1996 and 1999. Prior to that, they attended Rene Cassin - Jerusalem from 1985 to 1991, focusing on math and science. Yossi has also obtained multiple certifications in Machine Learning and Neural Networks from Coursera, with the most recent being in 2018.
This person is not in any teams
This person is not in any offices
DeepKeep
1 followers
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.