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ProductUpdated on 15 February 2025

Automate data security within SaaS: classification and remediation

Sarah Sellier

CEO at Breezy AI

Paris, France

About

Many companies face significant challenges in securing their data: They need to adopt GenAI to stay competitive but are hesitant due to security concerns. They lack visibility over their data, the rapid growth of apps and data sources increases the complexity. Additionally, security teams still spend too much time finding and digging into incidents.

At BreezyAI, we automate data security across collaboration tools, enabling businesses to prevent data leaks and ensure compliance. We use zero-trust to provide complete visibility, control, and proactive protection for your data.

  • We discover and classify your data, automatically tagging it based on sensitivity and context while tracking who has access and how it’s being used.

  • We monitor it in real time to proactively detect risks (users, downloads, level of external sharing...)

  • We automate remediation actions, such as blocking risky messages, revoking unnecessary access, or securing shared files

  • We map data inside AI apps (access, model localisations...)

Organisation

Breezy AI

Startup

Paris, France

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