AI systems don’t just store data — they act on it. Agents, models, MCP servers, and pipelines can access sensitive data, call APIs, and trigger actions across your environment.

The problem is most security tools only see pieces of that story — cloud posture, data classification, or identity permissions.

Relyance AI introduces the Data Defense Engineer.

It continuously maps how sensitive data flows across code, cloud, and AI systems, correlating data sensitivity, identity privilege, and AI behavior to surface the compound risks all traditional tools miss.

So instead of thousands of disconnected alerts, security teams see the full risk chain — what data is exposed, which AI system can reach it, and exactly where to fix it.

That’s AI security beyond posture. That’s data defense for the AI era.

• Developing and executing Druva's product portfolio strategy, encompassing data protection, cyber security, and customer experience enhancements.

• Leading pricing and packaging initiatives to optimize revenue streams and drive market competitiveness.

• Spearheading go-to-market strategies for new and existing routes to market, ensuring successful product launches and market penetration.

• Defined and executed the Druva Platform Strategy, focusing on Product-Led-Growth to drive growth in SMBs and accelerate enterprise and service provider segments.

• Developed pricing and monetization strategies, enhanced user experience, and implemented go-to-market strategies for new and existing routes to market.