Tutelaby H2H
Tutela by H2H

Govern AI workflows across runtime surfaces before sensitive data leaks or autonomous actions create risk.

Tutela Agentic Security helps enterprises govern Browser AI, Embedded AI, Enterprise AI Gateways, and Agentic & MCP Ecosystems. Tutela Data Security adds the sensitive-data context that makes policy decisions clearer.

Runtime surfaces

AI risk moves across many interaction paths.

AI workflows can begin in browsers, embedded applications, enterprise AI gateways, or agentic and MCP ecosystems. Tutela Agentic Security governs the runtime points where humans, agents, models, tools, and sensitive data interact.

Four AI deployment patterns

  • Browser AI

    Examples: ChatGPT, Claude, Gemini, Copilot

    Risk: Employees paste prompts, files, customer data, source code, or credentials into AI tools.

    Tutela: Detect content, evaluate policy, enforce the right action, and preserve evidence.

  • Embedded AI

    Examples: Internal copilots, customer assistants, SaaS applications using LLM APIs

    Risk: Applications can send customer or regulated data to external models without consistent review.

    Tutela: Use SDK and API inspection, policy validation, enforcement, and audit logging.

  • Enterprise AI Gateways

    Examples: Centralized model routing, internal AI platforms, multi-model architectures

    Risk: Approved infrastructure still produces inconsistent governance across apps, teams, and models.

    Tutela: Apply centralized policy, unified visibility, and consistent controls across teams.

  • Agentic & MCP Ecosystems

    Examples: AI agents, MCP servers, tool-connected assistants

    Risk: Agents can read, write, execute, modify, or trigger workflows beyond intended permissions.

    Tutela: Validate trust, govern tools, enforce policy, and audit every requested action.

Runtime AI Governance

Tutela Agentic Security

Policy applies where users, prompts, context, agents, actions, and sensitive data meet.

  • Human
  • Agent
  • Model
  • Tool
  • Data
Tutela Agentic Security controls
  • Prevent sensitive data leakage before model exposure
  • Apply coach, warn, redact, block, or allow policy
  • Govern autonomous agent and tool behavior
  • Standardize AI governance across runtime surfaces
  • Preserve audit proof
Product guidance

Choose the product that matches the question in front of your team.

Data Security establishes the sensitive-data and access picture. Agentic Security governs how humans, agents, models, tools, and data interact across enterprise AI workflows.

Private Preview

Tutela Data Security

Where does sensitive data live, how should it be classified, and who can reach it?

Best for

Start here when policy decisions need clear sensitive-data context: what data exists, where it lives, and who can reach it.

Outcomes
  • Know which data is sensitive and who can reach it
  • Prioritize protection, retention, and access decisions
  • Give security and compliance teams evidence they can inspect
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Private Preview

Tutela Agentic Security

Which AI workflows can touch sensitive data or trigger autonomous actions?

Best for

Use this to govern AI workflows across browsers, copilots, APIs, SaaS tools, SDKs, and autonomous agents.

Outcomes
  • See prompts, files, outputs, tool calls, and agent actions
  • Apply allow, warn, redact, block, or review policies
  • Track usage, token-cost signals, decisions, and audit proof
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Business AI use cases

Useful AI work should not become uncontrolled data movement.

Enterprises need to enable AI without blanket bans, prevent sensitive-data leakage, control AI usage and cost, reduce review effort, and keep proof security teams can inspect.

Sales customer research

Protect CRM notes, pricing, account plans, customer context, and deal strategy when sales teams use AI for customer research.

HR resume summaries

Protect candidate PII, compensation context, interview notes, and regulated HR data when teams summarize resumes or employee material.

Finance spreadsheet analysis

Protect forecasts, payroll details, revenue models, M&A plans, and board materials when finance teams analyze spreadsheets with AI.

Executive strategy work

Protect strategy notes, market plans, acquisition thinking, investor-sensitive context, and confidential executive decisions.

Support ticket replies

Protect support tickets, logs, secrets, account data, PHI, PII, and troubleshooting notes when AI drafts customer responses.

Developer AI agents

Protect source code, local files, secrets, terminal actions, dependencies, and infrastructure changes when teams use AI coding agents.

H2H Technology

H2H Technology is the company behind Tutela by H2H.

H2H Technology builds Tutela by H2H, a customer-owned security portfolio for sensitive data protection and AI workflow governance.

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