Relyance AI CEO Abhi Sharma on AI-Native Data Security

At the RSA Conference in San Francisco, Relyance AI CEO and co-founder Abhi Sharma outlined a fundamental shift underway in enterprise technology: the transition from deterministic software systems to non-deterministic, AI-driven environments.

In this new paradigm, traditional assumptions about security, governance, and trust no longer hold. Sharma argues that organizations must rebuild their approach from the ground up, centering on data as the core risk vector. Relyance AI offers an AI-native data security platform, designed not as an add-on layer but as an embedded, continuous system that tracks data across its full lifecycle.

Core Takeaways

-- Understanding AI-native: AI-native organizations are built with AI as a foundational operating model, not an add-on, enabling dramatically faster development cycles and new forms of system design driven by agent orchestration rather than manual coding.

-- Deterministic to non-deterministic: The move from deterministic to non-deterministic software fundamentally breaks traditional security assumptions, requiring a complete rethinking of how data is governed and monitored.

-- Focusing on data risk: Relyance AI differentiates itself by focusing on data risk as the core of AI security, tracking the full lifecycle of data through AI Data Journeys and mapping exposures through a dynamic data exposure graph.

-- LYO agent: The company’s LYO agent represents a shift from tools to autonomous systems, acting as a data defense engineer that not only identifies risks but recommends and executes remediation in real time.

#ArtificialIntelligence #CyberSecurity #DataSecurity #AIGovernance #EnterpriseAI #AgenticAI #AINative

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