Agent visibility
Understand where AI touches protected information and why that matters.
Role
Help AI leaders move from enthusiasm to governed adoption with better data context.
Treat 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.
What matters here
What this audience needs to know.
AI leaders need to show they can adopt agentic workflows without creating a new blind spot around sensitive data, employee AI use, or auditability.
Workflow governance
Review prompts, outputs, and interactions as one control surface.
Adoption readiness
Give security and AI teams the material they need to approve adoption without guesswork.
Key questions
Start with the questions the team actually has to answer.
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?
How Tutela helpsSurfaceSee the AI footprint ControlsGovern the workflow AdoptionMove with confidence
Bring the right product and technical depth into the same conversation.
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 approach
Use the product that matches the problem in front of the team.
Know the AI surface
Tutela helps teams review the AI surface that matters most: which agents, tools, and workflows can touch sensitive data.
Apply workflow-level controls
Agentic Security supports governance for employee AI use, prompt, file, response, and interaction review around protected data.
Pair AI review with data context
Where the AI story depends on better sensitive-data context, Data Security strengthens the same evaluation path.