What does Tutela Data Security help us find?
It helps teams discover sensitive data, classify business and regulatory risk, and understand where protected information exists across cloud and application paths.
Tutelaby H2HCompare Data Security, Agentic Security, and Exposure Validation private preview without sorting through internal process language.
Data Security helps teams discover sensitive data, classify risk with business context, understand access paths, and prioritize the control decisions that matter most.
It helps teams discover sensitive data, classify business and regulatory risk, and understand where protected information exists across cloud and application paths.
It connects sensitive-data context with access analysis so teams can see who can reach data, how access is created, and where protection decisions should come first.
Data Security supports tokenization, protection, and retention decisions by giving security and data teams a clearer view of the data that needs control.
Tutela products are designed for customer-owned deployment so sensitive-data review can stay under the customer's operating control.
Data Security establishes the sensitive-data map and access context that Agentic Security can use when teams govern employee AI use and AI workflow risk.
Agentic Security helps teams see how employees use AI tools, inspect prompts, files, and responses, apply policy actions, and keep an audit trail around sensitive data use.
It focuses on how employees, agents, prompts, outputs, model interactions, and connected tools interact with sensitive data.
It helps teams inspect prompts, files, responses, and model interactions so policy controls can apply before generated responses expose protected information.
Agentic Security is designed around prompt, output, and model-interaction review so teams can apply policy-backed controls where AI workflows create risk.
The product direction covers browser-based AI use, SDK and API workflows, AI proxy patterns, and connected agent interactions.
Tutela Agentic Security is designed for customer-owned deployment so inspection, policy actions, and audit records stay under customer control.
They can be evaluated separately, but the strongest agentic security review starts with clear sensitive-data context.
Exposure Validation is a private-preview exposure platform for teams that need one place to validate whether findings represent real exposure, assign remediation, and prove what changed.
It is intended to help teams move from raw findings into validated exposure posture, clearer remediation ownership, and reporting that explains what deserves attention first.
The best private-preview conversations focus on five questions: are we exposed, can it be exploited, what matters first, who owns remediation, and did the fix work.
The product direction is to unify evidence and validation around existing findings, not to claim blanket replacement for the discovery and vulnerability tools customers already rely on.
Exposure Validation is a private-preview product. The page captures interest without implying general availability or a public timeline.
Data Security starts with sensitive data and access paths. Agentic Security starts with employee AI use, prompts, outputs, and model interactions.