Bedrock Data Fortifies Leadership for AI Security Arms Race

MENLO PARK, CA – May 21, 2026 – Bedrock Data, a provider of AI data security and governance platforms, today announced a significant expansion of its leadership team with three strategic appointments. The company has named Vikram Arwade as Vice President of Engineering, Corinna Krueger as Vice President of Marketing, and Amy Greenberg as Head of Revenue Operations. These hires signal a decisive move to scale operations and meet what the company describes as “surging enterprise demand” for securing complex AI and data ecosystems.

The appointments follow a period of significant momentum for the Menlo Park-based firm, including a recent $25 million Series A funding round and the launch of major product initiatives. By bringing in seasoned executives from companies like MongoDB, Cohesity, and HUMAN Security, Bedrock Data is positioning itself to capitalize on the rapidly evolving, high-stakes market for AI governance.

“We’re seeing a clear shift in how enterprises are thinking about data and AI, and the demand for solutions that can keep up is accelerating quickly,” said Bruno Kurtic, CEO and co-founder of Bedrock Data. “To meet that demand, we’re investing across engineering, go-to-market and operations with leaders who have scaled through this kind of growth before.”

Scaling for a New Era of Risk

The executive expansion comes as organizations worldwide grapple with the dual-edged sword of artificial intelligence. While AI promises unprecedented innovation and efficiency, it also introduces a vast and poorly understood attack surface. Industry analysts have noted that the rise of AI agents and generative AI systems is creating a new discipline of “Agentic GRC + Security,” as non-human identities begin to access, process, and act on sensitive corporate data at scale. According to a 2024 Gartner report, over 60% of enterprises will need formal AI governance frameworks by 2026 to manage escalating security, risk, and compliance pressures.

This industry-wide challenge forms the backdrop for Bedrock Data’s strategic investment in leadership. The company aims to provide CISOs and data leaders with the tools to govern this new frontier, enabling them to embrace AI without exposing their organizations to unacceptable risks like data leakage, privacy violations, or model manipulation.

An Arsenal of Executive Experience

The three new leaders bring a wealth of experience in scaling technology companies through periods of intense growth and market transformation. Their collective expertise is aimed at hardening Bedrock Data’s product, market presence, and operational backbone.

Vikram Arwade, the new Vice President of Engineering, joins with nearly two decades of experience at firms including Riverbed Technology, Cohesity, and Opaque Systems. He will lead the development and scaling of the Bedrock Data platform. “At enterprises, the challenge is finding sensitive data and being able to analyze it in place at petabyte scale,” Arwade stated. “What stood out to me about Bedrock Data is the platform’s ability to handle that complexity. The demand the company is seeing from enterprises tells me the market is ready.”

Leading the company's market strategy is Corinna Krueger, the new Vice President of Marketing. A B2B marketing veteran with over 15 years of experience at cybersecurity firms like PerimeterX (acquired by HUMAN Security) and SafeBreach, Krueger is tasked with establishing Bedrock Data as a definitive leader in the space. “As enterprises scale AI, their risk surface is expanding beyond what traditional data security approaches were built to handle,” Krueger commented. “It’s no longer enough to know where sensitive data lives. CISOs and their teams need to understand how it can be accessed, combined and acted on across systems, including AI.”

Rounding out the new appointments is Amy Greenberg as Head of Revenue Operations. Greenberg brings over a decade of experience from MongoDB, where she was instrumental in building and scaling go-to-market and security business operations during its period of hyper-growth. At Bedrock, she will build the operational infrastructure to support sustained revenue growth. “I spent years building operational foundations at MongoDB during periods of rapid growth, and I see a similar inflection point here at Bedrock Data,” Greenberg shared. “My focus is on aligning systems and processes so our teams can execute and scale.”

A Foundation of Funding and Innovation

These leadership hires are the latest step in a strategic plan fueled by significant financial and technological milestones. In November 2025, Bedrock Data closed a $25 million Series A round led by Greylock Partners, an investment that brought Greylock’s Jason Risch to the company's board and provided the capital to accelerate its roadmap.

Coinciding with the funding was the launch of ArgusAI, a key differentiator for the company. ArgusAI is designed to extend governance directly into generative AI systems, providing transparency into what data AI models access during training and inference. The system automatically creates a Data Bill of Materials (DBOM) and performs guardrail gap analysis, allowing organizations to enforce plain-English policies across both their data and AI environments.

Bedrock Data has also aggressively expanded its ecosystem integrations. A deepening partnership with Snowflake, which includes a strategic investment from Snowflake Ventures, enhances governance within the Snowflake AI Data Cloud. Further integrations with Atlassian Confluence and Google Cloud’s Vertex AI and Dialogflow platforms extend Bedrock’s visibility into unstructured SaaS data and diverse AI agent infrastructures, respectively.

Navigating the Data-Centric Future

Bedrock Data enters a competitive Data Security Posture Management (DSPM) market alongside players like Cyera, BigID, and Varonis. However, it aims to distinguish itself with its AI-native focus and unique technical architecture. The platform is built on a patented Metadata Lake and Serverless Outpost design, which allows it to autonomously discover, classify, and contextualize data in place without moving it outside a customer’s security boundary.

This approach directly addresses a core concern for enterprises: maintaining data sovereignty and security while gaining the visibility needed to manage risk. By providing a unified view of how data, both structured and unstructured, flows across clouds, SaaS applications, and into AI models, the company is betting that context-driven security is the key to responsible innovation. With its newly fortified leadership team, a strong financial footing, and a differentiated product, Bedrock Data is making a clear and calculated bid to become an essential pillar of the modern, AI-powered enterprise technology stack.