What it is
AI governance and agentic security define what AI systems can see, suggest, do, log, and escalate once they become part of real workflows.
CISO / AI governance
Can we control what AI can see, decide, and do?
H2H helps the CISO and CIO decide where AI must stop, be reviewed, or be recorded before it acts. Tutela is used when runtime policy, approvals, sensitive-data controls, agent/tool governance, or customer-managed evidence is required.
What changes
H2H designs the operating workflow while Tutela by H2H provides a productized control layer around sensitive data, agentic action, approvals, validation, and audit-ready visibility.
When to use it
A CISO or CIO cannot approve broader AI use without clear data, action, identity, and audit boundaries. AI agents may reach sensitive systems, change records, call tools, or take other consequential actions.
Policy control stack
Agent → tool → actioncontrol before the action happens
- 01
User
Identity and intent enter the transaction.
- 02
Agent
The agent plans which context or tool is needed.
- 03
Model
The model interprets the task and produces a candidate step.
- 04
Data
Approved context is retrieved or withheld.
- 05
MCP / tool
Tool use is checked against policy and authority.
- 06
Action
The final action is allowed, reviewed, or stopped.
Control checkpoints: Identity, Policy, Approval, Disposition, Trace
Tutela runtime controls
Govern the moment before an AI action happens.
Discover
Govern
Enforce
Prove
Control before action
Discover
Identify the user, agent, model, data, tools, and intended action.
Govern
Apply policy, data boundaries, authority, and approval rules.
Enforce
Allow, warn, redact, block, or route for review before action.
Prove
Keep the record needed to reconstruct what happened and why.
The transformation
Show current risk, intended intervention, and target behavior.
The team should be able to point to this in one view before the first build move.
Current state, H2H intervention, and target state
- 01
Current state
AI use is expanding without a shared operating model for data access, permitted actions, approvals, policy enforcement, escalation, and audit evidence.
- 02
H2H intervention
H2H maps the workflow and trust boundaries, defines the control model, integrates governance into the implementation, and qualifies Tutela only where productized technical controls are warranted.
- 03
Target state
Production AI with explicit authority boundaries, accountable human decisions, enforceable policy, operational visibility, and evidence of what occurred.
Delivery model
Know what leadership gets from this service.
H2H maps the workflow and risk boundaries, designs the review model, and integrates governance controls so teams can adopt AI without leaving policy, auditability, or validation until the end.
Audience and fit
CISOsCIOs and CTOsSecurity engineeringAI governance leadsPlatform teams
Where Tutela fits: Tutela by H2H is the productized governance and security layer for this work: policy enforcement, approvals, data-security posture, agentic oversight, runtime visibility, and customer-managed deployment.
Artifact
Workflow instrumentation coverage
Expected control disposition results…
Trust-boundary map
Representative artifact for the sponsor, operator, product, security, or engineering conversation.
Artifact
Workflow instrumentation coverage
Expected control disposition results…
Policy and approval design
Representative artifact for the sponsor, operator, product, security, or engineering conversation.
Artifact
Workflow instrumentation coverage
Expected control disposition results…
Implemented control path
Representative artifact for the sponsor, operator, product, security, or engineering conversation.
Artifact
Workflow instrumentation coverage
Expected control disposition results…
Pilot Measurement Plan and evidence checklist
Representative artifact for the sponsor, operator, product, security, or engineering conversation.
Control and review surface
Agree what is controlled before the pilot starts.
The first leadership conversation needs clear checks, review points, and evidence boundaries.
What we observe
Operating categories leadership uses to test whether this is stable enough.
Policy and approval coverage
Unauthorized or blocked action attempts
Exception and escalation resolution time
Audit evidence completeness and control validation
Control questions
What must be checkable before the first consequential AI action.
What data can the AI system see and use?
What can it recommend, decide, or execute?
Which actions require human approval or must always be prohibited?
What must be logged, validated, reviewed, and escalated?
Which deployment, key, identity, or residency boundaries affect adoption?
Decision inputs
What this service needs from the sponsor before a first safe move.
Workflow coverage
Disposition conformance
High-risk action checks
Trace completeness
Next move
Name the next safe decision in one conversation.
If the business case is clear, move directly to a live working path. If not, start with the Sprint.
Does H2H represent itself as a frontier model lab channel partner?
No. H2H supports organizations implementing OpenAI, Claude, Anthropic, and other model capabilities as an independent build and implementation partner.
Where does Tutela fit?
Tutela by H2H provides the productized governance and security layer around data, agents, policy, approvals, visibility, validation, and customer-managed control.