Access Alone Doesn’t Define Risk. Data Does.
Traditional identity tools track permissions. They do not show which access exposes sensitive data, violates policy, or creates real risk.
Identity Security, Defined by Data
Identity Security focuses on controlling and monitoring user and machine access to systems and data. It ensures that the right identities have the right level of access to the right resources at the right time.
Risk Doesn’t Start with Access. It Starts with Data.
Identity risk is not defined by access alone. It is defined by access to sensitive data.
Access Without Context Creates Risk
Organizations manage millions of identities across cloud, SaaS, and AI systems. Identity tools track permissions, but they lack visibility into the data behind those permissions. Without data context, access decisions miss what actually drives risk.
Identity Security Breaks Without Data Context
Without visibility into data, security teams cannot determine which access matters or where exposure exists.
- Excess access to sensitive data goes unchecked
- Toxic combinations expose regulated information
- Access risk lacks data sensitivity context
AI Scales the Risk Faster Than You Can See It
AI systems access and process data at scale, often without governance tied to sensitivity or risk.
- AI operates without data-aware access controls
- Sensitive data exposure scales faster
- Identity risk expands across human and machine access
One Problem. Different Stakes.
For CISOs
Reduce breach risk by identifying who has access to sensitive data and eliminating unnecessary exposure.
For CDOs
Gain visibility into how data is accessed, shared, and used across the organization.
For Privacy Leaders
Ensure access aligns with purpose limitation and regulatory requirements.
For Cloud and Security Architects
Enforce least privilege across cloud, SaaS, and AI systems with data-aware controls.
