Agent visibility
Understand where AI touches protected information and why that matters.
Tutelaby H2HTreat agentic security as a data and control problem: know which AI tools employees use, what those workflows can reach, and what proof teams need before broader adoption.
AI leaders need to show they can adopt agentic workflows without creating a new blind spot around sensitive data, employee AI use, or auditability.
Understand where AI touches protected information and why that matters.
Review prompts, outputs, and interactions as one control surface.
Give security and AI teams the material they need to approve adoption without guesswork.
Which agents, copilots, and AI workflows can reach sensitive data today?
Which AI interactions need visibility before they become a blind spot?
What prompt, file, and output controls need review before adoption broadens?
What does a safe, customer-owned AI security review actually require?
Map the agent, browser, SDK, and proxy paths that can touch protected information.
Review prompts, files, outputs, and model interactions as one governed workflow.
Use the right product and technical material to prepare a safe adoption conversation.
Tutela helps teams review the AI surface that matters most: which agents, tools, and workflows can touch sensitive data.
Agentic Security supports governance for employee AI use, prompt, file, response, and interaction review around protected data.
Where the AI story depends on better sensitive-data context, Data Security strengthens the same evaluation path.
These products support the strongest next step for this audience, industry, and set of review questions.
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.
Data Security helps teams discover sensitive data, classify risk with business context, understand access paths, and prioritize the control decisions that matter most.
Use these resources to prepare architecture, planning, or product questions without overloading the page with operational detail.