AI-Powered Trust-Centric Security

Introducing a comprehensive security platform designed to safeguard sensitive information and maintain control over users' data

Trust-Centric DATA Leakage Approach

secures sensitive information by dynamically granting access based on trust scores, ensuring only trusted users can view or share data, and minimizing risks of leaks.

AI Data Leakage Solutions

DeText introduces an innovative solution leveraging cutting-edge neural network architecture to enable real-time trust score measurement for user-to-user interactions. By combining dynamic context analysis.

Currently, our project offers a Command-Line Interface (CLI) and API as user interfaces to interact with the trust evaluation network. Our Proof of Concept (POC) successfully demonstrates this capability in Email Protection, highlighting the potential to safeguard digital communications.

Outlook Email Security

In the realm of email security, staying ahead of cyber threats is paramount. One innovative startup, founded in 2024 by a team of forward-thinking individuals, is making waves with its groundbreaking approach to safeguarding Outlook emails.

AI Security Agents

Customer Personal Trust Neural Network

Risk Management (IRM) programs on autopilot

Current achievement

Patent Application Provisioning

The team

Idan porchitsky

Idan Proshtisky B.A in Information System Management. Project Manager/Service Team lead

email: idan.proshtisky@detext.io

Yuri Shterenberg

Yuri Shterenberg B.sc in Software Engineering. 8 years of experience in Israeli cybersecurity companies. In a leading position.

email: yuri.shterenberg@detext.io

Nadav Voloch

Dr. Nadav Voloch, CyberSecurity Researcher at IMT School of Advanced Studies, Lucca, Italy. Co-founder of BrainPM project management. Senior Lecturer and Head of Cyber at Ruppin Academic Center, Israel.

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