RESPONSIBLE AI

AI should strengthen judgment, not replace accountability.

Adaptive Resilience Intelligence uses AI to help make complex technology and cybersecurity information easier to understand and work with.

But useful AI needs clear boundaries. We design ARI so AI can assist with understanding, preparation and communication while important decisions remain accountable to people.

Diagram showing a responsible AI workflow with four steps: Evidence, AI Assistance, Human Judgment, and Action, each with a relevant icon and descriptive text explaining the process from gathering information to agreed actions.
USE AI WHERE IT HELPS

Keep people responsible where it matters.

ARI is not designed around the idea that more autonomy is always better. The role of AI should match the task.

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Assist
Help organize and interpret relevant information.
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Prepare
Support summaries, explanations and working material.
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Support
Help people move through defined product experiences.
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Escalate
Leave material decisions and higher-impact actions with authorized people.
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AI can make work easier. It should not make accountability disappear.

PRACTICAL AI

The value is in the outcome, not how much AI is used.

Within ARI, AI may help users:

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Understand
Make complex information easier to review.
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Prepare
Organize relevant information into useful summaries and working material.
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Support
Help users focus attention and prepare improvement activity.
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Communicate
Translate technical information into clearer language for different audiences.
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The available AI capabilities will depend on the product stage and the specific product experience.

PRACTICAL AI

The value is in the outcome, not how much AI is used.

Within ARI, AI may help users:

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Business & Risk Decisions
Material organizational decisions, including risk acceptance, remain with authorized people.
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Access & Authority
AI does not grant itself or others new permissions.
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High-Impact Actions
Actions that could materially affect a customer environment remain subject to appropriate human involvement.
UNDERSTAND THE BASIS FOR AN OUTPUT

A confident answer is not the same as a reliable answer.

AI can produce language that sounds certain even when the underlying information is incomplete. ARI is designed so important outputs remain connected to relevant supporting information.

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Evidence-Connected
Inspect information supporting an output.
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Source-Aware
Relevant source information remains visible.
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Current Where It Matters
See when supporting information was last updated.
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Human Review
Important conclusions remain open to review.
Priority
Identity & Access Review
Why this deserves attention
Multiple indicators suggest there may be opportunities to strengthen identity and access practices.
Supporting information
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Microsoft identity source
Last updated 2 days ago
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Microsoft security source
Last updated 4 days ago
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Internal assessment
Last updated 12 days ago
TRANSPARENCY MATTERS

AI assistance is not automatic truth.

AI systems can misunderstand context, produce incomplete answers or make incorrect assumptions. We design ARI to make uncertainty easier to recognize rather than manufacture certainty.

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AI Assistance ≠ Automatic Truth

RESPONSIBLE AI IS NOT A FINAL CHECKLIST

It starts before a capability reaches a customer.

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The level of review should reflect the potential impact of the capability.

AI DOES NOT CHANGE THE DATA RULES

Adding AI should not weaken expectations around customer information.

The same principles that guide ARI’s broader data and security approach continue to apply when AI is involved.

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Purpose-Limited
Use information only for the intended task.
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Customer-Bounded
Keep customer information associated with the appropriate organization.
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Appropriate Access
AI does not expand what a user or capability is authorized to access.

External AI and cloud providers remain part of the product’s security and data-handling considerations.

THE SHORT VERSION

Five principles guide how we think about AI.

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Purpose
Use AI where it creates meaningful value.
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Evidence
Keep important outputs connected to supporting information.
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Boundaries
Do not let AI determine its own authority.
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Transparency
Be clear about limitations and uncertainty.
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Accountability
Keep people responsible for material decisions.

Useful intelligence. Clear boundaries. Accountable decisions.

ARI is being designed to help organizations make better use of AI without asking them to surrender judgment, control or responsibility.

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AI can assist the decision.
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Accountability remains human.
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Designed for real-world organizations.
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Aligned with privacy and security principles.