AI Governance & Security Vendor Wiki

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Cyera

One-liner — The fast-growing, AI-native DSPM leader: agentless discovery of sensitive data across cloud and SaaS, converged with DLP and identity into one data-security platform.

What it does — Cyera maps where sensitive data lives across cloud datastores, databases, and SaaS, tracks how employees and applications use it, and flags exposure/risk — then extends into DLP and identity/data-access so you can see and control who and what can reach that data. The pitch is “AI-native” classification that’s fast and agentless, plus convergence of DSPM + DLP + identity (historically separate tools) into a single platform, increasingly aimed at securing data for AI (what RAG/agents can touch).

Where it sits in the stack — Primary: dspm; also data-access-governance and dlp. Data layer. Risk role: controlling access to sensitive data (find/classify/constrain) and, via DLP, controlling outbound data flows (preventing sensitive data leaving to AI/third parties). Trust zones: governs the green/yellow data plane that feeds AI.

Deployment & architecture — SaaS, agentless, API/cloud-connector based (read-only scanning of cloud accounts and datastores) — quick to stand up vs agent- or appliance-heavy tools. Cloud-first (AWS/Azure/GCP, SaaS, on-prem databases). Integrates with DLP, IdP/identity, and SIEM/SOAR workflows. Expanded into DLP partly via its 2024 acquisition of Trail Security.

Positioning & differentiators — The category’s momentum leader by funding/valuation and Fortune 500 logo count; differentiates on speed-to-value (agentless), classification accuracy, and the DSPM+DLP+identity convergence story. Versus bigid (broader data-governance/privacy heritage, on-prem heavy, more config) Cyera is leaner and cloud-native. Versus sentra it’s the larger, better-capitalized direct rival with a near-identical agentless cloud DSPM pitch. Versus microsoft-purview it spans well beyond the Microsoft estate — and Purview lists Cyera as an integration partner. Versus concentric-ai it’s broader/enterprise-scale rather than autonomous-unstructured-focused.

Ownership, funding & M&A — Independent, privately held and exceptionally well-funded. Founded 2021 by Yotam Segev (CEO) and Tamar Bar-Ilan (CTO), both ex-Unit 8200; HQ New York with major Israel R&D. Valuation trajectory: $1.4B (Series C, Apr 2024) → $3B (Series D, Nov 2024) → $6B (Series E, ~$540M, Jul 2025) → $9B (Series F, $400M, led by Blackstone, 2026-01-08); total raised >$1.7B. (Press reports referenced a possible ~$12B valuation by mid-2026 — not confirmed from a primary source here; treat as unverified.) Cyera has itself acquired (e.g., Trail Security, DLP, 2024). No acquisition of Cyera; no seed M&A flag. Ownership confidence: high.

CTO / hedge-fund lens — Day-1 for a cloud-heavy fund that needs a fast, accurate map of sensitive data and a single tool spanning DSPM + DLP + data access — especially before turning on RAG/AI assistants, where you must know what the model could surface. Already cites ~20% of the Fortune 500, financial-services heavy, so it’s a credible enterprise bet. SR 11-7: supports model-risk/AI-governance evidence indirectly via data lineage and access posture. Caveat: SaaS-only (no on-prem deployment of the platform) and richly valued; if you need on-prem scanning of the platform itself, weigh bigid.

Competitors / alternatives — sentra, bigid, securiti, concentric-ai, microsoft-purview, Varonis; in DLP also cyberhaven, netskope.

Open questions / to verify

  • The reported ~$12B (mid-2026) valuation — needs a primary source.
  • Depth/maturity of the DLP and identity modules vs the core DSPM engine post-Trail integration.

Sources

History

  • [2026-06-28] Stub created from seed registry.
  • [2026-06-28] Researched; established independent and very well-funded ($400M Series F at $9B, Jan 2026; >$1.7B total), founded 2021, NY HQ, agentless AI-native DSPM converging DLP + identity. Raised ownership_confidence to high. No M&A of Cyera.

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