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Bedrock Security Cofounder and CEO on Why Security Must Start with Data Visibility
- Bedrock Security focuses on data security and management in a time of increased data growth, cloud modernization, and AI adoption.
- The team combines technical expertise with a bias for action to address complex data security challenges.
- Their metadata lake offers visibility and control to secure data and meet AI-driven operational demands.
- Bedrock Security helps enterprises discover, classify, and contextualize data, supporting various use cases including AI governance and compliance.
- The company aims to support the expanding use of enterprise data by autonomous systems and continuous data governance.
- Customer success stories include biotech companies using their platform to protect sensitive data like DNA sequences and intellectual property.
- Challenges include proving value in a crowded market where differentiation is essential, aiming to avoid customers getting stuck in siloed solutions.
- Key success metrics for the company include product market fit, pipeline growth, employee NPS, and talent retention.
- The CEO, Bruno Kurtic, values adaptability, learning from failures, and the team's ability to evolve in the fast-paced AI space.
- Bedrock Security's open and scalable approach addresses data risk visibility and management, providing a cohesive layer of context for policy enforcement and risk reduction.
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