Cyera
AI-native data security platform for discovery, classification, and protection. Sequoia/Accel-backed unicorn; Forbes AI 50 2026.
Overview
Cyera: AI Data Security Platform
Cyera is AI-native data security platform for cloud, SaaS, and on-prem. Cyera is the established leader in DSPM (data security posture management). The AI-driven classification + risk scoring is what differentiates them from manual catalog tools — at enterprise scale, manual data classification is impossible without AI.
Key Features
- AI-native data security platform for cloud, SaaS, and on-prem
- Automated data discovery and AI-driven classification
- DSPM (Data Security Posture Management) category leader
- Sequoia, Accel, Coatue-backed unicorn
- Used by major enterprises and Fortune 500 security teams
- Forbes AI 50 2026 list
- Founded 2021 by Yotam Segev (ex-Google Cloud) and Tamar Bar-Ilan (ex-Forter)
Ideal Use Case
CISOs, enterprise security teams, and compliance leaders who need to know where sensitive data lives across cloud, SaaS, and on-prem — and apply AI-driven classification at scale.
Why Use Cyera
Cyera is the established leader in DSPM (data security posture management). The AI-driven classification + risk scoring is what differentiates them from manual catalog tools — at enterprise scale, manual data classification is impossible without AI.
FAQ
What does Cyera do? Cyera is an AI-native data security platform that helps organizations discover, classify, and protect their data. It's built to handle the security challenges of modern data environments at scale.
Who should use Cyera? Cyera is designed for organizations that need to secure and govern their data across complex environments, particularly those looking for AI-powered discovery and classification capabilities. It's especially relevant for enterprises managing sensitive data at scale.
What's the pricing model for Cyera? Cyera offers a freemium pricing model, allowing you to get started without upfront costs. Visit the Cyera pricing page for current plans and details on what's included in paid tiers.
How does Cyera compare to other data security tools? Cyera takes an AI-native approach to data security, setting it apart from alternatives like Nightfall AI, Rubrik, and CrowdStrike. Its focus on intelligent discovery and classification makes it a distinct choice for organizations prioritizing automated data protection.
tl;dr
AI-native data security. Discovery + classification. Sequoia-backed unicorn. Forbes AI 50 2026.
Related
Looking for more options? Browse the Security & Governance directory or read our best AI security tools listicle. Cyera is also tracked on Crunchbase.
Why Use Cyera
Editorial Review
Our take on Cyera.
Data security posture management built for the AI era, and now capitalised like a leader: $600 million raised in June 2026 at a $12 billion valuation, roughly quadrupling in eighteen months.
What works
- Purpose-built for AI-era data risk — shadow AI use and training-data exposure
- Shipped 100+ capabilities in a year across DSPM, privacy, identity, DLP and agentic security
- Capitalised at $12B with over $1.7B raised, so vendor stability is not a concern
What doesn't
- Enterprise onboarding and custom pricing make a quick evaluation difficult
- Whether AI-specific data governance stays a standalone category is still an open bet
Cyera was built around a bet that the hard problem in data security is no longer the perimeter but knowing what sensitive data you hold, where it sits and which systems — increasingly which models and agents — can reach it. That framing reads as prescient rather than reactive now that shadow AI usage and training-data exposure are live board-level concerns.
The funding trajectory has moved decisively. The company raised $600 million in June 2026 at a $12 billion valuation, roughly quadrupling in eighteen months, after a $400 million Series F earlier in the year at $9 billion; total funding now exceeds $1.7 billion. Product has kept pace — more than 100 new capabilities shipped in a year across data security posture management, privacy, identity, data loss prevention and agentic security.
The honest reservations are about fit rather than viability. This is an enterprise purchase with enterprise friction: pricing runs through a conversation, onboarding is involved, and evaluating discovery and classification properly means pointing it at real data rather than a sandbox. The strategic question is whether AI-specific data governance settles into a standalone category or gets absorbed by the broader platforms — a bet you are making either way, though the capital behind Cyera makes vendor stability the least of the risks.
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