● Trust Center

Trust should be verifiable

A buyer-facing view of our current approach to security, privacy, AI governance, vendors, and operational risk. Where a requirement depends on the client, provider, or contract, we say so.

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● Sections

What buyers should evaluate

Security

Current security approach, scoped to the system and engagement.

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Data Privacy

How privacy requirements are scoped before data enters a workflow.

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Compliance

A requirements-first approach without implying certifications Mopshy does not hold.

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AI Governance

Practical controls for deciding where AI belongs in a business process.

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Responsible AI

Design principles for keeping people accountable for AI-enabled workflows.

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Incident Response

How incident responsibilities should be defined for a managed workflow.

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Subprocessors

The website stack is disclosed separately from vendors selected for client engagements.

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Data Retention

Retention should be tied to a purpose instead of a blanket marketing promise.

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Encryption

Encryption requirements depend on where the data moves and which provider stores it.

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Access Control

Access should be named, scoped, and removed when the work no longer needs it.

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Secure Development

Source control, automated checks, preview deployment, and scoped testing.

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Disaster Recovery

Recovery commitments are defined by system criticality and provider capability.

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Vendor Risk Management

Use external providers intentionally and disclose the ones that matter to client data.

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AI Ethics

Boundaries for high-impact, deceptive, unlawful, or poorly governed uses of AI.

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Infrastructure

Infrastructure is selected for the actual workload rather than advertised as a universal enterprise stack.

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Confidentiality

Client information should be shared only with the people and systems needed to deliver the work.

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This Trust Center is a transparency resource, not a certification statement or replacement for signed contract terms. Buyers should request current evidence for any control or credential that matters to approval.

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