Fact sheet · Cybersecurity
Bedrock Data
AI and data security platform that unifies data, identity, and AI context to reveal real risk without moving data
An AI-native data security and governance platform that discovers and classifies enterprise data across cloud, SaaS, and on-premises environments while
Overview

Bedrock Data is an AI-native data security and governance platform designed for the GenAI era. The platform provides complete visibility into enterprise data across AWS, Azure, Google Cloud, Snowflake, MongoDB, Databricks, and SaaS applications like Google Workspace and Microsoft 365, without moving data outside the customer's environment.
Built on the Metadata Lake, a contextual graph that links data and identity at petabyte scale, Bedrock combines sensitivity classification, data lineage, entitlements analysis, and access context into a single source of truth. The platform enables security teams to discover sensitive data, understand real risk by mapping data exposure and AI access patterns, enforce controls across human and AI systems, and accelerate AI adoption with confidence.
Bedrock's serverless architecture delivers full visibility without the cost tradeoffs of traditional DSPM solutions. The platform uses AI-driven categorization, continuous discovery, and real-time drift detection to help organizations operationalize data risk remediation and maintain strict data residency compliance.
Feature facts
- Data discovery across cloud, SaaS, and on-premises environments
- AI-driven classification by business context
- Metadata Lake for unified data and identity context at petabyte scale
- Entitlement analysis to uncover hidden access paths
- Real-time policy enforcement and drift detection
- Data lineage and flow tracing across systems
- Trust Boundaries for access control
- API-native integrations via GraphQL and MCP
- Support for AWS, Azure, Google Cloud, Snowflake, MongoDB, and Databricks
- Zero data access architecture preserving data residency
Pricing
Pricing model: Contact for pricing
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Bedrock Data specifications
| Section | Cybersecurity |
|---|---|
| Founded | 2020 |
| Origin | San Mateo, United States |
| Stage | Established |
| Website | bedrockdata.ai |
| Makers | Bruno Kurtic (President and CEO, Co-founder) Pranava Adduri (CTO, Co-founder) Ganesha Shanmuganathan (Chief Architect, Co-founder) |
| Votes2 | 0 |
Bedrock Data metrics
| Metric | Value |
|---|---|
| Domain Rating | 45 no change since last check |
| Trust Flow | 17 no change since last check |
| Citation Flow | 35 no change since last check |
| Referring domains | 168 no change since last check |
| External backlinks | 680 no change since last check |
Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 26 Oct 2026. Fact: top topic Computers/Hacking (17). Fact: Majestic checked 26 Oct 2026, fact changed 26 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Bedrock Data domain fact sheet
Open the fact sheet
| Domain age | 3 years |
|---|---|
| Registered | |
| Expires | |
| Registrar | NameCheap, Inc. |
| DNSSEC | Signed |
Bedrock Data launch receipt sheet
What we have measured for Bedrock Data since it went live on SaaS Directory Info on 26 October 2026.
- 45 Domain Rating (Ahrefs) no change since launch
at launch: 45 (26 Oct 2026); latest: 11 Nov 2026 - 17 Trust Flow (Majestic)
first measured 26 Oct 2026 - 168 Referring domains (Majestic)
first measured 26 Oct 2026
Day 16 since launch. Next receipt: day 30, 25 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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Frequently looked up
- Q1What makes Bedrock different from other DSPM solutions?
- Bedrock uses a serverless scale-out architecture to scan multi-petabyte data environments at high speed without the cost tradeoffs of traditional DSPM vendors. It combines precise classification with live identity and access context to reduce false positives, analyzes data where it lives without copying it outside the environment, and syncs authoritative data context into every tool in the security ecosystem via API-native integrations.
- Q2How does Bedrock help with AI and GenAI governance?
- Bedrock maps who can access data including users, roles, and AI agents, and understands how AI can query, combine, and surface data. It enables organizations to deploy AI agents and automate knowing that Bedrock's guardrails flag and remediate material data risks.
- Q3Does Bedrock move or copy customer data?
- No. Bedrock analyzes data where it lives and never gets copied, exposed, or read outside the customer's environment, ensuring regulatory and corporate policy compliance.
- Q4What platforms and services does Bedrock support?
- Bedrock discovers and classifies data across cloud infrastructures like AWS, Azure, and Google Cloud; platforms such as Snowflake, MongoDB, and Databricks; and SaaS environments like Google Workspace and Microsoft 365.
- Q5How does Bedrock help with data access reviews and least-privilege enforcement?
- Bedrock provides advanced entitlement analysis that uncovers hidden access paths and allows organizations to create Trust Boundaries defining which users and roles should access sensitive data, taking action when deviations are detected.
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See also
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