For teams expected to say yes to AI safely.
Security, AI governance, IT, legal, finance, HR, sales, support, application security, and platform teams use Tutela to approve AI workflows, investigate incidents, and prove controls without blanket bans.
Tutela Agentic Security governs AI wherever it runs.
Tutela Agentic Security gives security teams visibility and policy control over prompts, files, outputs, tool calls, usage signals, and autonomous actions before sensitive data moves.
Approve AI adoption with runtime controls that prevent leakage, govern risky actions, and preserve evidence security teams can inspect.
Product walkthrough
Watch Agentic Security in action.
These views show how Agentic Security moves from AI session visibility into incident review, policy action, and governance evidence.
AI work now creates security decisions in real time.
Employees paste customer data into AI tools, copilots send business context to models, gateways route traffic across teams, and agents request tool actions. Tutela helps security inspect the moment, apply policy, and keep proof.
Outcomes
What changes when Runtime AI Governance is consistent.
Let teams adopt useful AI workflows without blanket bans or unmanaged workarounds
Stop sensitive prompts, files, outputs, API payloads, and tool calls before data leaves trusted paths
Give security teams searchable evidence for policy decisions, usage signals, exceptions, and agent actions
How it works
Runtime AI Governance for customer-owned AI workflows.
Tutela sits at the runtime control points where prompts, files, outputs, APIs, tools, models, users, and sensitive data meet. Each pattern gets the same governance record: context, decision, action, and proof.
Browser AI
Govern employee use of ChatGPT, Claude, Gemini, Copilot, and other browser-based AI before prompts or files expose sensitive data.
Embedded AI
Inspect internal copilots, customer assistants, and SaaS applications that send business context to LLM APIs.
Enterprise AI Gateways
Standardize policy, visibility, and audit evidence across centralized model routing and internal AI platforms.
Agentic & MCP Ecosystems
Validate trust, govern tool use, and audit requested actions across agents, MCP servers, and connected assistants.
Customer-owned deployment
Keep sensitive context in the environment your team controls.
Tutela is designed for customer-owned deployment. The product story starts with the workflow, then uses architecture and readiness material to make adoption more trustworthy.
Customer-owned deployment
Designed for customer-owned environments where workflow inspection, usage records, policy decisions, and audit evidence stay under customer control.
Runtime pattern review
Review Browser AI, Embedded AI, Enterprise AI Gateway, and Agentic or MCP surfaces before deciding where controls should be deployed.
Readiness before rollout
Use technical guides and architecture material to align ownership boundaries, operating responsibilities, and commercial review before production use.
Questions teams ask
Questions Agentic Security should help answer.
These are the practical questions your team should be able to take into product, architecture, security, and procurement review.
Which AI deployment patterns are active across Browser AI, Embedded AI, Enterprise AI Gateways, or Agentic and MCP ecosystems?
Let teams adopt useful AI workflows without blanket bans or unmanaged workarounds
What sensitive data enters those workflows through prompts, files, retrieval context, API calls, outputs, or tool calls?
Stop sensitive prompts, files, outputs, API payloads, and tool calls before data leaves trusted paths
Which coach, warn, redact, block, allow, or review policies should apply to each use case?
Give security teams searchable evidence for policy decisions, usage signals, exceptions, and agent actions
Which autonomous actions need trust validation, tool governance, action approval, or denial?
Let teams adopt useful AI workflows without blanket bans or unmanaged workarounds
How should AI governance evidence stay inside the customer operating model?
Stop sensitive prompts, files, outputs, API payloads, and tool calls before data leaves trusted paths
Read this next
Go deeper with the guide or brief that fits this product story.
Use these resources when your team is ready to move from public product fit into the next useful technical or planning conversation.
Overview
Agentic Security Platform Overview
Platform overview for teams comparing how Agentic Security turns employee AI use into a governed security and operating model.
Who should read this next: Security leaders, AI governance owners, and platform teams orienting around the Agentic Security review story.
GuideAgentic Security Implementation Rollout Strategy
Rollout guidance for teams planning how to introduce Agentic Security without overcommitting too early.
Who should read this next: Program leads, security operations owners, and platform teams planning how Agentic Security should be introduced.
Deep DiveAgentic Security Infrastructure Deep Dive
Architecture-level deep dive for teams pressure-testing where Agentic Security runs and what the customer team would own.
Who should read this next: Security architects, platform engineers, and reviewers pressure-testing infrastructure placement and control boundaries.
FAQ
Common questions about Agentic Security.
What does Tutela Agentic Security govern?
It focuses on Runtime AI Governance across Browser AI, Embedded AI, Enterprise AI Gateways, and Agentic or MCP ecosystems that can touch sensitive data or trigger actions.
What parts of AI use does it inspect?
It helps teams inspect prompts, file uploads, generated outputs, API payloads, model interactions, tool calls, browser activity, usage signals, and requested actions so policy can apply where risk happens.
What happens to prompts and outputs?
Prompts, outputs, and interaction records are evaluated against policy, then preserved as reviewable audit context in the customer's operating model.
How does it help with token and usage tracking?
It helps teams connect AI usage, cost, model, app, user, and unusual activity signals to the same governance record used for policy review.
Which AI surfaces does it support?
The product direction covers Browser AI, Embedded AI and API workflows, Enterprise AI Gateway patterns, and Agentic or MCP tool ecosystems.
How is Tutela Agentic Security deployed?
Tutela Agentic Security is designed for customer-owned deployment so inspection, policy actions, and audit records stay under customer control.
Does it require Data Security?
They can be evaluated separately, but the strongest agentic security review starts with clear sensitive-data context.
Next step
Request agentic security previewTalk to Tutela about Agentic Security.
Share what your team is evaluating so we can route the product, architecture, or deployment follow-up to the right place.