Bedrock Security

Now operating as Bedrock Data (rebrand from Bedrock Security). Primary category: dspm.

One-liner — An AI-native data security posture management (DSPM) platform that discovers, classifies, and governs sensitive enterprise data in place using a “Metadata Lake,” without moving data outside the customer boundary.

What it does

Bedrock continuously discovers and classifies sensitive data across cloud, SaaS, on-prem, and AI environments, then scores and helps remediate data-security posture (over-exposed data, stale data, access risk). Its differentiator is a patented Metadata Lake that autonomously catalogs data in place — it reads metadata/context rather than copying the underlying data out, which keeps regulated data inside the customer’s trust boundary. The pitch is “operationalizing a data security program”: not just visibility, but driving down exposure and improving access governance, increasingly framed around safe AI/RAG adoption.

Where it sits in the stack

Data layer — dspm. It controls access to sensitive data by finding and reducing where that data lives and who/what can reach it (including AI agents and copilots). Lives in the data trust zone feeding AI systems; adjacent to dlp and data-access-governance.

Deployment & architecture

SaaS control plane with agentless, metadata-based scanning across private cloud, IaaS, PaaS, SaaS, and AI environments; data stays in place. Aimed at integrating into a broader data-security/governance program rather than acting as an inline proxy.

Positioning & differentiators

Competes in the crowded DSPM field against cyera, sentra, bigid, normalyze, concentric-ai, symmetry-systems, and wiz’s DSPM. Its angle is the “Metadata Lake” / data-stays-in-place architecture and AI-native classification, positioned for the AI-data-governance moment. Founder/CEO Bruno Kurtic co-founded Sumo Logic, which shapes the data-platform-at-scale narrative. Note marketing language (“industry-first,” “frictionless”) is vendor framing.

Ownership, funding & M&A

Independent, VC-backed. $10M seed (March 2024, Greylock) and a $25M Series A announced 2025-11-19, led by Greylock Partners with Mangusta Capital, Mantis Venture Capital, and Pier 88 Investment Partners. No seed M&A flag; none found. Ownership confidence high (recent primary funding announcement).

CTO / hedge-fund lens

DSPM is Day-1 for a fund standing up AI on internal data — you must know where MNPI/PII/material data sits before pointing a copilot or RAG pipeline at it. Bedrock is a credible newer entrant; for a hedge fund the practical question is whether to buy a focused DSPM or use DSPM bundled into a platform already owned (microsoft-purview, wiz, rubrik). The data-in-place architecture is attractive for regulated shops wary of exporting sensitive data to a scanner. Early-stage vendor risk applies (small, ~Series A).

Competitors / alternatives

cyera, sentra, bigid, symmetry-systems, normalyze, concentric-ai, securiti, microsoft-purview, wiz.

Open questions / to verify

• Exact total funding and full cap table (only seed + Series A confirmed; total ~$35M is disclosed-rounds sum).
• Confirm all three co-founders and current exec roster post-rebrand.
• Real-world classification accuracy / scale vs. Cyera/Sentra (independent benchmarks).

Sources

• Bedrock Data Announces $25 Million Series A — fetched 2026-06-28 — supports: Series A amount/date/lead, HQ, CEO, product/Metadata Lake; confidence: high.
• Bedrock Data Series A (Yahoo Finance mirror) — fetched 2026-06-28 — supports: same; confidence: high.
• Earlier coverage (seed $10M, March 2024, Greylock; founders/founded 2021) via BusinessWire/Crunchbase — confidence: med.

History

• [2026-06-28] Stub created from seed registry.
• [2026-06-28] Researched; established independent VC-backed (Greylock seed + $25M Series A Nov 2025), rebrand to “Bedrock Data,” Menlo Park HQ, founded 2021, DSPM/Metadata-Lake product. No M&A. Set ownership_confidence high.