Bedrock Data
Menlo Park, United States
- Series A
- $35M raised
- Founded 2023
Metadata lake DSPM that classifies petabyte estates in place, then governs AI access in plain language.
Raised $25M Series A led by Greylock, November 2025
DSPM, data detection, and data-access startups that tell you where sensitive data actually lives.
12 companies · ordered by name · no paid placement · About this category
Menlo Park, United States
Metadata lake DSPM that classifies petabyte estates in place, then governs AI access in plain language.
Raised $25M Series A led by Greylock, November 2025
New York, United States
Hybrid DSPM and data intelligence platform for discovery, privacy, and AI risk across cloud and on-prem.
First DSPM vendor to cross $100M in annual revenue, 2024
San Mateo, United States
Semantic DSPM that labels unstructured data by meaning, then remediates oversharing on-prem and in the cloud.
Raised $45M Series B led by Top Tier Capital and HarbourVest, October 2024
Palo Alto, United States
Data detection and response that traces lineage as files move, transform, and hit AI tools.
Raised $100M Series D at a $1B valuation, April 2025
New York, United States
AI-native DSPM that classifies sensitive data, then governs what people and agents can do with it.
Raised $600M Series G at a $12B valuation, June 2026
Santa Clara, United States
Confidential computing and key management so data stays encrypted while AI and apps use it.
Joined Cisco Secure AI Factory with NVIDIA for Confidential AI inference, June 2026
Seattle, United States
AI-native DLP and insider risk that classifies, then blocks exfil at the endpoint without a policy farm.
Raised $30M Series A seven months after stealth, June 2025
San Francisco, United States
AI-native DLP for SaaS, endpoints, browsers, and GenAI prompts that learns from investigations.
Launched Nyx, an autonomous DLP copilot, July 2025
Newark, United States
Fine-grained data access and AI governance from the team that built Apache Ranger.
Shipped major PAIG updates aligned to the NIST AI RMF, February 2025
San Francisco, United States
Data-flow DSPM that shows how customer data actually moves through products, vendors, and AI features.
Raised $32.1M Series B led by Thomvest Ventures, October 2024
New York, United States
Cloud-native DSPM that discovers, classifies, and readies enterprise data for AI without agents.
Closed $50M Series B, bringing total funding over $100M, April 2025
New York, United States
Agentic data security that classifies with business context and remediates without a ticket queue.
Raised $25M Series A led by M13, total funding $32.2M, November 2025
Data security is the category under the most AI-era pressure in this directory: the same index has to describe DSPM inventories, prompt-level egress controls, and warehouse access enforcement in one list.
This index maps every company whose primary product is finding, protecting, or governing sensitive data: discovery and posture, loss prevention and egress control, data access enforcement, privacy processing mapping, and encryption with confidential computing.
Public mega-cap DLP suites stay off this list. Every entry carries a 2024 to 2026 proof-of-life signal recorded with a source link, and membership is taxonomy from the research pass.
The products here cluster into five shapes. Discovery and posture platforms inventory cloud stores, SaaS, and warehouses, classify content autonomously rather than regex-first, and score who can reach what.
Prevention products follow data in motion and stop the copy, upload, or prompt that would leak it, from browser and endpoint agents to SaaS classifiers with an investigation copilot.
Access enforcement sits in front of warehouses and enforces column-level grants, masking, and purpose controls. Privacy processing platforms instrument applications to map what actually happens to data against what legal promised.
Encryption and confidential-computing platforms keep keys and data-in-use inside hardware enclaves. Eleven of the twelve entries also name an AI-specific surface, from Copilot connectors to prompt policy to AI-readiness checks on training data.
Data protection leads comparing DSPM discovery against prevention-first DLP, privacy counsel who need one shared picture of data flows and promises, platform owners enforcing warehouse-level access, and investors mapping the field by what each product actually enforces.
Included only when a live company has primary category data-security. Cloud posture suites, identity products, and public mega-cap DLP platforms live in their own categories or off this directory.
Inclusion is category-based and verification-gated, not paid placement and not an endorsement of outcomes.
Listings are the full live catalog slice for this primary category, sorted alphabetically by name. This is not a scored quality ranking and there is no paid placement. Aevral is a disclosed house listing under the same rules (live, no pin). See /transparency.
12 companies. Catalog last reviewed 2026-08-23. Page copy reviewed 2026-09-21. Next review by 2026-10-21. Ordered by name. No paid placement.