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.

AI/ML

Cyber Security

Enterprise Software

DeepKeep

DeepKeep's headquarters in Tel-Aviv, Israel

This department focuses on the design, implementation, and management of software development processes and infrastructure.

Development Operations

This department focuses on advancing and implementing machine learning algorithms and models to drive innovation and efficiency.

Machine Learning

This department focuses on integrating machine learning models into production environments and managing the lifecycle of ML systems.

Machine Learning Operations

This department focuses on the development and promotion of products, aligning marketing strategies with product offerings.

Product and Marketing

This department is focused on scientific innovation and technological advancements to drive product development and strategic initiatives.

Research and Development

This department focuses on driving revenue generation and expanding market presence through strategic sales initiatives.

People (2)

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Other teams

Machine Learning

Machine Learning Operations

Product and Marketing

Research and Development

Sales and Business Growth