Cyera
by Cyera
The trust layer for the AI era — know what your AI can see and do
Cyera is an AI-native data security platform that discovers and classifies sensitive data across cloud, SaaS and hybrid environments and governs what AI systems and agents can access. It is built for CISOs and data-governance teams that need to safely enable enterprise AI without leaking sensitive data.
Cyera is an AI-native data security company whose platform serves as what it calls the 'trust layer for the AI era' — giving enterprises visibility and control over what their AI can see and do. It discovers and classifies data wherever it lives (at rest, in motion and in use) with 95%+ classification precision, then applies protection across a unified control plane spanning Data Security Posture Management (DSPM), Data Loss Prevention (Omni DLP), identity and access analytics, privacy, and remediation. Its AI Guardian and Access Trail capabilities track shadow-AI usage and monitor data access by both humans and AI systems, preventing sensitive information from being exposed to LLMs and agents. Cyera deploys quickly on major clouds (AWS, Google Cloud, Snowflake, Microsoft) and counts customers including Paramount, Chipotle, Valvoline, ACV Auctions and Cass Information Systems. On June 10, 2026 the company raised $600M at a $12B valuation — led by Evolution Equity Partners with Cyberstarts, Temasek, Accel, AT&T Ventures, Blackstone, Coatue and Spark Capital — bringing total funding to more than $2B and making it one of the most valuable private security companies, with 1,500+ employees across 18 countries.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, Data Governance Teams, Security Leaders
- Customers
- Customers include Paramount, Chipotle, Valvoline, ACV Auctions and Cass Information Systems
Key Features
- ✓DSPM control plane
Data Security Posture Management that discovers and classifies data across cloud, SaaS and hybrid with 95%+ precision.
- ✓AI Guardian
Tracks shadow-AI usage and controls what data AI systems and agents are allowed to access.
- ✓Omni DLP
AI-driven data loss prevention that cuts alert noise while protecting sensitive data in motion.
- ✓Access Trail
Monitors data access by both humans and AI systems to expose risky exposure and enforce controls.
- ✓Auto-remediation
Triggers native remediation actions across platforms such as Tines and Torq.
Capabilities
Use Cases
- •Safe enterprise AI adoption
Give AI and agents access to data while preventing exposure of sensitive information to LLMs.
- •Data discovery and classification
Automatically find and label sensitive data across cloud, SaaS and hybrid estates.
- •Shadow AI governance
Detect unsanctioned AI usage and enforce policy on what data those tools can reach.
Ideal For
Best For
- ✓Discovering and classifying sensitive data across cloud and SaaS
- ✓Governing what AI systems and agents can access
- ✓Detecting shadow AI and preventing data leakage to LLMs
Market & Ratings
Customers include Paramount, Chipotle, Valvoline, ACV Auctions and Cass Information Systems
Market Analysis
Pros
- ✓Fast, AI-native data discovery and classification
- ✓Strong governance story for enterprise AI adoption
- ✓Deep funding and rapid growth (1,500+ employees, 18 countries)
Cons
- ✗Enterprise-focused with non-transparent pricing
- ✗Broad platform can overlap with existing DSPM/DLP tools
- ✗Value depends on breadth of connected data sources
Pricing
Enterprise
Contact for pricing
- ✓DSPM
- ✓AI Guardian
- ✓Omni DLP
- ✓Access Trail
- ✓Auto-remediation
- ✓DataWatcher managed services
Pricing is not publicly disclosed; sold via enterprise sales.
Sources
This page was written from 3 sources, 1 on domains other than cyera.com.
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