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Fortifying Generative AI: Microsoft’s Vigilance on Security, Trust, and Governance
As businesses increasingly experiment with generative AI solutions to streamline their processes, it becomes clear that the risk environment is growing. Since threats change constantly, CIOs and CISOs are realizing more and more that AI and generative AI models need to be trusted with some decision-making to stay up with new threats. In line with this, cloud service providers and managed security service providers have made major investments in large language models for security applications during the past year. In this article, we highlight the efforts of Microsoft, focusing on the Microsoft AI Tour Mumbai event held in January.
February, 2024
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Responsible AI: A Strategic Imperative for Enterprises in Generative AI Implementation
While AI has driven technological innovation for decades, the pressing need to integrate responsible AI (RAI) principles has surged only in the past year. Historically, RAI emerged as a distinct practice in 2018, yet many enterprises failed to prioritize AI governance, often regarding it as a compliance obligation rather than a foundational element. However, the advent of Gen AI tools such as Gemini and ChatGPT has introduced fresh risks, underscoring the critical importance of robust RAI practices in addressing issues such as intellectual property misappropriation, hallucinations, and cyberattacks.
June, 2024
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Responsible AI Platforms 2024 RadarView™
The Responsible AI Platforms 2024 RadarView™ assists organizations in identifying strategic partners for responsible AI platforms by offering detailed capability and experience analyses for service providers. It provides a 360-degree view of key applied AI service providers across the dimensions of product maturity, enterprise adaptability, and future readiness, thereby supporting enterprises in identifying the right service partners. The 30-page report highlights top supply-side trends in the applied AI space and Avasant’s viewpoint on them.
June, 2024
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Microsoft Ignite 2025: Accelerating AI Integration to Transform Operations
This paper analyzes the major announcements from Microsoft Ignite 2025 and their implications for enterprise AI adoption. It examines how Microsoft’s expanded intelligence stack—spanning multi-model orchestration, Work IQ, Fabric IQ, Foundry IQ, Copilot integration, and Agent 365—provides a practical blueprint for building AI-first, “frontier” enterprises. Drawing on real-world examples from Mercedes-Benz, Epic, UBS, and Adobe, this paper highlights how leading organizations are operationalizing AI across workflows while navigating challenges in data quality, governance, and scalable value creation. Avasant’s perspective grounds these developments in broader industry trends and enterprise priorities.
November, 2025
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Proactive Compliance Management in Life Sciences: Leveraging AI for Early Risk Detection
Life sciences organizations operate in some of the most stringent regulatory environments globally, governed by frameworks such as the FDA, EMA, cGMP, and GxP, as well as data integrity standards. Maintaining compliance is essential not only for regulatory approval but also for ensuring product quality, patient safety, and corporate reputation. Traditional compliance processes are often reactive, heavily manual, and data-fragmented—making it difficult to anticipate risks before they result in violations. Predictive identification of compliance risks, enabled by artificial intelligence (AI), offers a significant shift in approach. By leveraging historical audit and operational data, AI models can identify patterns and signals of potential noncompliance, enabling proactive intervention and continuous quality improvement.
December, 2025
AI governance
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