Contact person: Advanced Data Lineage DLP SaaS Solution

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Location: Lausanne, Switzerland

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Loss Prevention (DLP) SaaS platform, strongly inspired by Cyberhaven and similar solutions.

The core feature we want is data lineage: the ability to trace sensitive data from its origin, track how it is handled, and follow it across endpoints, cloud apps, file systems, and communication channels. Unlike traditional DLP tools, this project must go beyond simple content inspection (patterns, regex, dictionaries) and focus on context-aware classification and lineage tracking.

Key requirements:

- SaaS-based architecture, scalable and cloud-native
- Data lineage: track where data originated, how it was handled, and who interacted with it
- Ability to classify sensitive data even when no obvious content pattern exists (e.g., images, source code, CAD files, compressed/encrypted data)
- Real-time detection and prevention of data exfiltration across multiple channels (email, cloud, USB, endpoints, SaaS apps)
- Integration points with SIEM/XDR platforms (e.g., Splunk, Elastic, Wazuh)
- Insider risk detection combining behavioral analysis + data awareness
- User education features (e.g., real-time popups when risky behavior occurs)
- Modern UI/UX for security teams (dashboard, visualization of lineage, incident investigations)


Ideal partner:

- Proven experience in cybersecurity software, preferably DLP, insider risk, or UEBA
- Strong knowledge of endpoint-level monitoring (e.g., eBPF, kernel drivers)
- Experience building scalable SaaS platforms with integrations to enterprise environments

This is an ambitious, mid-term project. Please provide:

- Relevant past projects or case studies
- Technical approach for building lineage tracking
- Team size and estimated timeline" (client-provided description)