Theom
Agentless platform that maps sensitive cloud data, identity access, and AI usage to show which data-risk findings actually matter.
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Theom is a data and AI security platform that runs natively inside a company’s own cloud data stores and platforms, including Snowflake, Databricks, BigQuery, AWS, Azure, and Google Cloud, without copying data elsewhere or sitting in the query path. It discovers sensitive data, maps who and what (including AI systems) can access it, and continuously assesses whether that access is appropriate.
The platform’s differentiator is correlation: rather than producing another siloed alert feed, it connects data catalog, identity, live activity, and AI-usage signals into one view, with role-based dashboards for security, data platform, AI, and compliance teams. Policies are set in plain language and enforced across both the data layer and the AI layer as new models and pipelines come online.
Founded in 2020 by former Google, Cisco, and Yahoo engineers and led by CEO Navindra Yadav, Theom has raised roughly $36 million in seed and Series A funding, backed in part by Snowflake Ventures and Databricks Ventures, and has been named a Leader in the GigaOm Radar for DSPM and the 2026 Forrester Wave for Sensitive Data Discovery and Classification.
Innovation Matrix Assessment
Expanded from pure DSPM into AI-usage governance and opened a new engineering center in Hyderabad in 2026, moving quickly to keep pace with DSPM-market growth.
Correlating data sensitivity, identity, and live access into one prioritized view directly reduces the alert-triage burden that overwhelms data-security teams.
Strategic backing from Snowflake Ventures and Databricks Ventures and analyst recognition (GigaOm, Forrester) are solid independent signals, though named enterprise customers remain largely confidential.
The agentless, in-place scanning model is a genuine technical departure from copy-and-scan DSPM tools, but the DSPM category itself is now crowded with well-funded competitors.
Independent analyst placements (GigaOm Leader, Forrester Wave Leader) support the product's real-world effectiveness, but no named breach-prevention case study was found.
Data-plus-AI governance sits squarely in the path of EU AI Act and similar regulatory enforcement, a durable multi-year driver.
Why CISOs Should Care
Gives data-security teams one ranked view of which sensitive-data exposures actually matter instead of a flood of undifferentiated DSPM alerts.
What Makes It Different
Runs agentlessly inside the customer's own cloud and data-platform environment rather than copying data out, and correlates data, identity, and AI-usage signals together.
The Matrix Verdict
65/100 — INCREMENTAL INNOVATOR
An Incremental Innovator: a technically credible, analyst-validated DSPM platform with strong strategic backing, but operating in an increasingly crowded category without yet-public large-scale efficacy proof.
Editorial Note: Claims vs. Verified Findings
Analyst recognitions (GigaOm, Forrester) are independently sourced; specific ROI or detection-accuracy percentages are not published by the vendor and were not scored.
Sources
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