Cyera offers an AI‑native data security platform that automatically discovers, classifies, and governs sensitive data across cloud, SaaS, on‑prem, and endpoint environments without agents. The solution links data to identities, access paths, and AI models to provide real‑time governance, continuous monitoring, and one‑click policy enforcement, helping security and compliance teams prevent data leakage and meet regulatory requirements.
Funding
$540M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+6Founders
Product
Problem
Enterprises face an expanding data attack surface as AI workloads continuously access and process sensitive information across cloud, SaaS, and on‑prem environments. Traditional security tools struggle to discover, classify, and govern this data at scale, leading to hidden exposure, shadow AI usage, and compliance gaps.
Solution
Cyera provides an AI‑native data security platform that automatically discovers and classifies sensitive and proprietary data across any environment without agents, delivering over 95% precision. The platform links data to identities, access paths, and AI models, enabling real‑time governance of both human and machine access. Integrated analytics prioritize risk and suggest remediation, while automated policies and one‑click guardrails enforce protection and prevent data leakage. Continuous monitoring and actionable alerts give security teams visibility into who and what is accessing data, supporting compliance and rapid response. The solution is delivered as a unified SaaS offering that scales to petabyte‑level data estates with minimal operational overhead.
Target Audience
Primary customers are security and compliance leaders at large enterprises—such as CISO, DPO, and data governance teams—who need to secure data across complex, AI‑driven environments.
Features
- Agentless, minutes‑quick deployment that scans cloud, SaaS, on‑prem, and endpoint data sources
- AI‑driven classification engine with 95%+ precision that learns business context over time
- Real‑time access governance for both human users and AI agents, including shadow AI detection
- Automated risk prioritization and guided remediation with one‑click policy enforcement
- Integrated DLP engine that consolidates alerts, reduces false positives, and auto‑tunes policies
- Continuous monitoring and audit trails linking data to identities, actions, and AI models
- Scalable processing of up to 74 PB in a week, supporting massive multi‑cloud and hybrid estates