Gadi Sosa has extensive work experience in various leadership roles in the software development industry. Gadi is currently the VP R&D at DeepKeep, where they are responsible for creating innovative platforms and technologies for Adversarial AI cyber security solutions. Prior to this, they worked at Informatica as a Senior Engineering Manager, where they managed and supported diverse teams of software engineers and engineering managers. Gadi also served as the VP R&D and CTO at ActiveTrail, overseeing global infrastructure and implementing new technologies. Gadi founded and served as the CTO of Brio Software, a boutique software solutions company. Earlier in their career, Gadi worked as the Director of Research & Development at MSN Israel and as a Team Leader at eWave Ltd. Gadi began their career as a Web Developer at Scepia Ltd, specializing in programming and developing CRM systems and B2B Intranets.
Gadi Sosa earned a Practical Engineer degree in Electrical and Electronics Engineering from Technion - Israel Institute of Technology from 1994 to 1996.
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DeepKeep
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.
