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Cybersecurity

Tutela by H2H shows how we build for control before action.

Security gets harder when sensitive data, AI behavior, and oversight live in different systems.

The practical question for a CISO is simple: what can the agent see, who approves consequential actions, and what record remains after the action?

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Tutela runtime controls

Govern the moment before an AI action happens.

Discover Govern Enforce Prove runtime loopA circular runtime governance loop with four checkpoints around a central policy decision surface.

Discover

Govern

Enforce

Prove

Control before action

  1. Discover

    Identify the user, agent, model, data, tools, and intended action.

  2. Govern

    Apply policy, data boundaries, authority, and approval rules.

  3. Enforce

    Allow, warn, redact, block, or route for review before action.

  4. Prove

    Keep the record needed to reconstruct what happened and why.

Tutela is relevant when AI reaches sensitive data or tries to act. The loop shows where discovery, policy, enforcement, and an explainable record sit.
Agent → tool → actioncontrol before the action happens
  1. 01

    User

    Identity and intent enter the transaction.

  2. 02

    Agent

    The agent plans which context or tool is needed.

  3. 03

    Model

    The model interprets the task and produces a candidate step.

  4. 04

    Data

    Approved context is retrieved or withheld.

  5. 05

    MCP / tool

    Tool use is checked against policy and authority.

  6. 06

    Action

    The final action is allowed, reviewed, or stopped.

Control checkpoints: Identity, Policy, Approval, Disposition, Trace

A CISO can see who is acting, what the agent can touch, which tool is requested, and where approval happens before action.

Control surface

The risky moment is where identity, data, tools, and action meet.

Tutela by H2H is relevant when production AI needs runtime policy, approvals, sensitive-data controls, agent/tool governance, visibility, or a customer-managed record.

Show Tutela product surfaces
Tutela Data SecurityBuilt for teams that cannot afford to discover sensitive data too late. Tutela Data Security brings discovery, classification, risk scoring, and remediation into one governed operating flow across customer-managed environments and AI adoption paths.Tutela Agentic SecurityFor organizations adopting AI faster than governance can keep up. Tutela Agentic Security adds policy controls, approval gates, autonomous action oversight, runtime visibility, and audit-ready governance before speed turns into exposure.

Inspectable artifacts

High-trust software should leave a record a team can explain.

These composite artifacts show the kind of record security, operations, and product teams can inspect. They are not customer work or performance proof.

Illustrative artifacts only. Not customer work, case studies, or performance proof.

wall / 01

Baseline brief

The starting condition everyone agrees to use before the pilot begins.

  • Current work volume
  • Current effort or cycle time
  • Known constraints
wall / 02

Trace sample

A compact view of how one AI-assisted action can be reconstructed later.

  • Actor and model
  • Policy and approval
  • Action and result
wall / 03

Next-decision record

The short artifact that lets leaders choose the next move without a vague success story.

  • Expand
  • Revise
  • Close a gap
  • Stop
The conversation gets concrete when artifact types, owners, and gaps are visible together.

Partner opportunities

Turn governed AI into something a customer can operate.

Start with one customer problem, one owner, one pilot, and one commercial choice the work must support.

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