Discover risky AI and data activity
Discover regulated, confidential, and business-critical data, classify what matters, and understand who can reach it before control decisions start.
Tutelaby H2HTutela helps organizations discover risky AI and data activity, understand what is actually exposed, and govern remediation from a customer-owned control plane.
Start with the product question in front of your team, then move deeper without losing the platform context that ties data, AI, exposure, and operating proof together.
Discover regulated, confidential, and business-critical data, classify what matters, and understand who can reach it before control decisions start.
Use Data Security to build the sensitive-data map, access context, and protection priorities that anchor the review.
Use Agentic Security when employee AI use, prompts, files, and outputs need policy-backed workflow governance.
Use Exposure Validation when the team needs to validate exploitable paths, assign remediation, and prove what changed.
Keep architecture, deployment review, remediation evidence, and release discipline inside the same customer-owned operating model.
Sensitive data is spread across cloud environments, applications, and business workflows. Teams need to know what matters, who can reach it, and which controls should come first without drowning in raw inventory.
Help security teams move from scattered inventory to a clearer view of sensitive data, risky access, and the next protection decision.
Employees and internal tools can expose sensitive data through prompts, files, connected tools, and model outputs. Security teams need controls that follow the workflow without losing operational visibility.
Help AI and security teams govern employee AI use before it becomes an invisible data exposure problem.
Exposure programs accumulate findings from cloud, code, identity, and vulnerability tooling, but the queue rarely explains exploitability, remediation ownership, or closure proof. Teams need validated posture evidence instead of another backlog.
Help teams answer whether they are exposed, whether it can be exploited, what matters first, who owns remediation, and whether the fix worked.
Explain the platform, agree on the first product question, and align the buying team.
Go to orientationMove into the right product overview or technical brief once the first question is clear.
Go to product evaluationPressure-test operating boundaries, identity, secrets, and ownership before rollout discussions go deeper.
Go to architecture and deploymentUse controls mapping and evaluation checklists to support internal approval and procurement review.
Go to approval readinessUse the leader path when the team needs platform framing, deployment posture, and an internal decision story.
Explore roleUse the practitioner path when the team needs architecture detail, workflow placement, and operator proof.
Explore roleUse the data and AI path when employee AI use, sensitive data, and workflow governance need the same language.
Explore roleStart with the Buyer Guide if the team still needs stakeholder alignment, or move into the Architecture Brief when deployment questions are already on the table.