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Shadow AI

The AI boom has revolutionized industries but brought serious risks like Shadow AI, IP leakage, and compliance violations. Robust AI governance frameworks like ISO/IEC 42001 and NIST AI RMF are essential for safe, responsible innovation.<br>To know more : https://www.cisogenie.com/shadow-ai-the-darker-side-of-ai-awesomeness/<br>

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Shadow AI

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  1. Shadow AI - The Darker Side of AI Awesomeness https://www.cisogenie.com/shadow-ai-the-darker-side-of-ai-awesomeness/ https://www.cisogenie.com/

  2. The Rise of Generative AI and Shadow AI Since the introduction of GPT-1 and BERT in 2018, the growth of LLMs has been explosive, with AI becoming a core part of mainstream tools post-COVID. The release of ChatGPT marked a turning point, democratizing AI access across industries. But with rapid adoption came Shadow AI—unvetted models used without oversight—posing new risks around data privacy, compliance, and security.

  3. Hidden Risks Behind AI-Driven Productivity AI integrations in everyday tools like GitHub Copilot, Notion, Jira, and meeting bots brought powerful gains—but also new vulnerabilities. From code editors possibly leaking source code, to AI-generated content causing IP violations, the risks are real and rising. Organizations must ask tough questions about how their data and IP are being handled behind the scenes.

  4. The Need for Responsible AI Governance To innovate safely, organizations must shift from reactive risk control to proactive AI governance. Standards like ISO/IEC 42001 and the NIST AI RMF provide essential guardrails to ensure trustworthy, transparent AI use. Platforms like CISOGenie help implement these frameworks, turning AI risk into a strategic advantage through secure, compliant adoption.

  5. Thank you https://www.cisogenie.com/shadow-ai-the-darker-side-of-ai-awesomeness/ https://www.cisogenie.com/

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