AI

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We all agree that public AI tools are fantastic for general tasks such as brainstorming ideas and working with non-sensitive customer data. They help us draft quick emails, write marketing copy, and even summarize complex reports in seconds. However, despite the efficiency gains, these digital assistants pose serious risks to businesses handling customer Personally Identifiable Information (PII). Most public AI tools use the data you provide to train and improve their models. This means every prompt entered into a tool like ChatGPT or Gemini could become part of their training data. A single mistake by an employee could expose client information, internal strategies, or proprietary code and processes. As a business owner or manager, it’s essential to prevent data leakage before it turns into a serious liability.Financial and Reputational ProtectionIntegrating AI into your business workflows is essential for staying competitive, but doing it safely is your top priority. The cost of

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ChatGPT and other generative AI tools, such as DALL-E, offer significant benefits for businesses. However, without proper governance, these tools can quickly become a liability rather than an asset. Unfortunately, many companies adopt AI without clear policies or oversight.Only 5% of U.S. executives surveyed by KPMG have a mature, responsible AI governance program. Another 49% plan to establish one in the future but have not yet done so. Based on these statistics, while many organizations see the importance of responsible AI, most are still unprepared to manage it effectively.Looking to ensure your AI tools are secure, compliant, and delivering real value? This article outlines practical strategies for governing generative AI and highlights the key areas organizations need to prioritize.Benefits of Generative AI to BusinessesBusinesses are embracing generative AI because it automates complex tasks, streamlines workflows, and speeds up processes. Tools such as ChatGPT can create content, generate reports, and summarize