Tutelaby H2HTutela 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.
The public AWS Marketplace offer is a paid annual purchase at the USD 125,000 list price; it does not begin a complimentary trial. Every complimentary 60-day evaluation requires an H2H-issued private offer and review touchpoint.
Watch five short scenarios showing how Tutela protects sensitive context, governs agent actions, and preserves evidence across enterprise teams and regulated industries.
See how security teams can govern browser AI, application traffic, agent tools, and endpoint activity while preserving a reviewable record of data, policy, and action.
Watch on YouTubeProtect payment data, account identifiers, and fraud signals while governing agent access to financial records, account changes, and refund workflows.
Watch on YouTubeProtect source code, credentials, stack traces, and cloud configuration while governing coding-agent access to repositories and deployment tools.
Watch on YouTubeSafeguard proprietary architecture, credentials, and controlled program information across engineering assistants, repositories, technical documents, and build workflows.
Watch on YouTubeProtect clinical context, molecular structures, unpublished research, and intellectual property while governing agent access to laboratory and research systems.
Watch on YouTubeContinue exploring product explainers, AI security concepts, and practical guidance from Tutela by H2H.
Explore Tutela by H2H on YouTubeSecurity, 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.
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.
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
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.
Govern employee use of ChatGPT, Claude, Gemini, Copilot, and other browser-based AI before prompts or files expose sensitive data.
Inspect internal copilots, customer assistants, and SaaS applications that send business context to LLM APIs.
Standardize policy, visibility, and audit evidence across centralized model routing and internal AI platforms.
Validate trust, govern tool use, and audit requested actions across agents, MCP servers, and connected assistants.
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.
Designed for customer-owned environments where workflow inspection, usage records, policy decisions, and audit evidence stay under customer control.
Review Browser AI, Embedded AI, Enterprise AI Gateway, and Agentic or MCP surfaces before deciding where controls should be deployed.
Use technical guides and architecture material to align ownership boundaries, operating responsibilities, and commercial review before production use.
These are the practical questions your team should be able to take into product, architecture, security, and procurement review.
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
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
Use these resources when your team is ready to move from public product fit into the next useful technical or planning conversation.
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.
GuideRollout 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 DiveArchitecture-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.
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.
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.
Prompts, outputs, and interaction records are evaluated against policy, then preserved as reviewable audit context in the customer's operating model.
It helps teams connect AI usage, cost, model, app, user, and unusual activity signals to the same governance record used for policy review.
The product direction covers Browser AI, Embedded AI and API workflows, Enterprise AI Gateway patterns, and Agentic or MCP tool ecosystems.
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.
No. The public AWS Marketplace offer is a paid annual purchase at the USD 125,000 list price. Every complimentary 60-day evaluation requires an H2H-issued private offer requested through tutelacloud.com/trial. AWS infrastructure remains buyer-paid.
Start with a short request so H2H can review your use case and create a complimentary AWS Marketplace private offer for your designated account. The public listing is a paid annual purchase at the USD 125,000 list price and does not begin a trial.