The company, which redefined data governance and security in the AI era, announced today that it has raised $20 million in Series A funds to accelerate its mission to ensure sensitive enterprise data across cloud, SaaS and Generative AI platforms.
The funding round was led by Wing VC, with participation from strategic investors Databricks Ventures, Snowflake Ventures and Sentinelone’s V-shaped companies. Theom will use new capital to expand product development, grow its listing team, and expand deployment with Fortune 500 Enterprises and the fast-growing AI-NENAINGE company.
“We are pleased to be supported by such a strong investor who share our vision that data rather than infrastructure is new perimeters,” he said. explain Navindra YadavTheom’s co-founder and CEO. “AI is changing how organizations are used, but it also introduces new risks. Theom ensures that companies can move quickly in AI while staying safe and compliant.”
Build for a new era of data flow and AI
Theom is pioneering the first AI-NENITAGE Data Operations Center (DOC), a modern alternative to outdated data governance and security tools. In today’s environment, data is constantly moving between applications, cloud, LLM, and external collaborators. Legacy security tools built for static environments and around networks cannot keep up.
Whatom’s platform flips models by embedding governance and security directly into enterprise data platforms such as Snowflakes, Databricks, AWS, and Azure. This allows Theom to constantly observe who is accessing which data, under what circumstances and for what purposes, using machine learning and behavioral analytics to mark threats before escalating.
Key use cases include:
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AI Awan Awaw Acta Access Governanceensure that AI models or unauthorized users do not abuse sensitive data.
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Real-time insider threat detectionincluding user imitation and over-visit access.
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Automatic compliance and reporting For regulations such as HIPAA, GDPR, NIST and DORA.
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Secure data collaboration In clean rooms and data exchange market.
By using in-field operations (no need to transmit or host data), theom avoids the export costs and latency issues that plague traditional DSPM solutions. It also integrates directly with tools like Okta, Splunk, Microsoft 365, and Slack, and enables full-text security across the entire enterprise data ecosystem.
Support from industry leaders
Whatom’s differentiation approach has attracted not only customers like Fiserv, Grammarly, JetBlue and TradeWeb, but also some well-known figures in data and security.
“Theom is the first platform I’ve seen, providing fine-grained usage-based, usage-based access controls through enterprise data – exactly what companies need to prepare for AI,” he said. explain Gaurav Gargco-founder of Wing VC.
“Theom expands the governance capabilities of our Solidarity Directory to give our customers real-time control over sensitive data in AI Gen Workfrows,” additional Andrew FergusonDatabricks Ventures VP.
“We are seeing a sharp increase in the risk of data exposure, especially in finance and healthcare,” he said. explain Harsha Kapre,director Snowflake Adventure. “Theom’s success in regulated industries shows that it can scale to real-world needs.”
“Theom not only improves data security, it can also be reimagined.” Rob Salvagnohead of Svp in Sentinelone and S Ventures. “They are creating a new category in the intersection of AI, data and cybersecurity.”
Why now
According to Morgan Stanley, almost half of all enterprise data is expected to live in the cloud by the end of 2024, and the generated AI tools reshape how data is accessed and shared, organizations urgently need new data governance platforms.
Theom was founded by a team with deep roots in cloud security and data engineering. After previously creating four-bit analytics at Cisco, one of the first platforms for zero-value analysis, the founders learned that ensuring data in modern enterprises will require a data-centric, data-centric AI-driven approach.
The platform utilizes advanced technologies including generative adversarial networks (GANs), behavioral machine learning, and MITER ATT&CK-based threat mapping to give security and compliance teams real-time insight into data usage for internal and external users.
Importantly, Theom can detect and stop real-time data breaches that traditional tools miss out on (from credential abuse to unauthorized desk cloning) without data leaving the customer’s cloud.
What’s next
With this new capital injection, Theom plans to expand its engineering team, deepen integration with ecosystem partners, and bring real-time, AI data governance solutions to more companies around the world.
“We are building a blueprint for how businesses manage and protect their data in the AI era,” he said. explain Yadav. “This funding accelerates our ability to help customers innovate confidently without compromising security or compliance.”
