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The 5 Levels of Privacy in Enterprise AI

Enterprises face a spectrum of choices when it comes to privacy in AI adoption, ranging from public frontier models with no safeguards to fully localized, on-premise deployments. Each level offers a trade-off between control, compliance, and cost. For industries like healthcare, finance, and government, the stakes are high: sensitive data cannot simply flow through external infrastructure without risking breaches and trust. This article outlines the five levels of privacy in enterprise AI, explains where risks are concentrated, and helps leaders evaluate which posture best balances innovation with security.

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When AI Breaks the Basics: A Vulnerability Hidden in Plain Sight

A recent discovery showed that Microsoft Copilot could be instructed to alter audit logs — records long considered the bedrock of compliance and accountability. The finding highlights a deeper issue: AI assistants integrated into enterprise systems may bypass the very safeguards organizations rely on to prove compliance, trace incidents, and maintain trust. This article explores how AI changes the assumptions behind governance frameworks, why audit logs can no longer be taken for granted, and what executives must do to protect accountability as AI adoption accelerates.

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OpenAI-HubSpot Connector: Technical Overview and Data Access Analysis

OpenAI has launched its first CRM integration with HubSpot, allowing you to analyze customer data using natural language queries through ChatGPT. While this breakthrough promises easier access to CRM insights, it introduces new considerations around data processing, permission boundaries, and administrative oversight. Regional restrictions and subscription tier limitations may complicate enterprise deployments. This article examines what works, what doesn't, and what managers need to know before enabling this integration for their teams.

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EU AI Act 2025: Implications for North American Businesses Using AI

The EU AI Act is reshaping the global AI landscape in 2025 — and its ripple effects are reaching North American businesses, even those without EU operations. As vendors adjust their products to comply with Europe’s new rules, companies in North America may see changes in the AI tools they rely on every day. Our latest insight explains which provisions are already in effect, what they mean for businesses outside the EU, and the strategic steps leaders can take to prepare.

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Highlight from Human-Centred AI x The Future: Insight, Foresight & Solutions

During Toronto Tech Week, we brought leaders, builders, and creatives together to explore how we can unlock AI’s potential while safeguarding human trust, creative integrity, and long-term value. This gathering marked The Opening Door’s rebrand as a responsible AI integration agency and sparked critical conversations on building a human-centred future with AI.

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What Every Executive Needs to Know About Responsible AI

Artificial intelligence is shaping decisions across every business function—often faster than leaders realize. While AI promises efficiency and smarter experiences, it also brings hidden risks that can damage trust, reputation, and compliance if left unmanaged. This blog explains why Responsible AI isn’t just a technical issue but a leadership priority, with clear, practical steps executives can take to align AI use with their company’s mission and values.