Day: February 11, 2026

Empowering Trust in AI Through Robust Data Governance

Mosaic provides a comprehensive data governance solution ensuring AI models access only trusted, compliant data. With real-time monitoring and audit-ready transparency, organizations can confidently scale AI initiatives while maintaining security and regulatory compliance.

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AI Industry Divided: The High-Stakes Congressional Battle in New York

In a fierce New York City congressional primary, AI investors have poured over $1 million to defeat Democratic lawmaker Alex Bores, a prominent advocate for AI regulations. Simultaneously, Bores’ campaign receives substantial support from AI experts and tech workers who back government oversight, highlighting a deep division within the tech industry.

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Overcoming Barriers to AI Advancement

As artificial intelligence matures, organizations face significant slowdowns not from lack of capability but from concerns over risk and governance. This tension limits many AI initiatives to narrow pilots, highlighting the need for clear accountability and frameworks to unlock AI’s full potential.

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Shadow AI: The Hidden Security Risk of Rapid AI Adoption

The rapid adoption of AI in software development by over 80 percent of Fortune 500 companies poses significant security risks due to the prevalence of shadow AI, where employees use unapproved AI tools. Microsoft emphasizes the need for clear governance and a zero trust approach to mitigate potential threats from these unregulated AI applications.

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Responsible Regulation in the Age of AI

India is at a pivotal point in regulating artificial intelligence, focusing on ensuring that advancements in synthetic media do not compromise individual dignity or social harmony. The amended Intermediary Guidelines establish clear obligations for digital intermediaries to prevent the spread of unlawful content while promoting transparency and user empowerment.

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