{"id":38154,"date":"2021-10-21T19:43:36","date_gmt":"2021-10-21T12:43:36","guid":{"rendered":"https:\/\/theportraitplace.id\/bdg-paskal\/?p=38154"},"modified":"2026-09-09T13:09:52","modified_gmt":"2026-09-09T06:09:52","slug":"ai-data-protection-what-it-leaders-need-to-know-in","status":"publish","type":"post","link":"https:\/\/theportraitplace.id\/bdg-paskal\/2021\/10\/21\/ai-data-protection-what-it-leaders-need-to-know-in\/","title":{"rendered":"AI Data Protection: What IT Leaders Need to Know in 2026"},"content":{"rendered":"

\"AI<\/p>\n

As the CNIL notes in its guidance, individuals should also be made aware when they are interacting with a machine. AI operators should inform individuals about data collection and their rights in a clear, concise and easily accessible manner. Information Commissioner’s Office urged organizations not to underestimate the level of resources required for these tasks, insisting AI providers “must be able to demonstrate, on an ongoing basis, how you have addressed data protection by design and default obligations.” To uphold these principles across all AI systems, organizations should implement a strong AI governance framework within their AI risk management practice. With AI adoption skyrocketing, these real-world examples show that the risks to sensitive data have never been more pressing.<\/p>\n<\/p>\n

Data security has always been a top priority for executives, especially for data-intensive organizations, and with AI the stakes are even higher. Build a practical foundation for securing AI services, identities, data, and connected cloud resources. Discover how organizations are moving from isolated AI pilots to driving core business transformation with agentic AI. As more firms use generative AI and other AI technologies to automate decision-making, executives should bring https:\/\/nutritioninpill.com\/who-likely-to-declare-ebola-an-international-emergency-experts\/<\/a> a privacy lens to AI-fueled practices where the notion of \u201cdata\u201d might have become muddy. Clearview had scraped 30 billion images from sites such as Facebook and Instagram, arguing that the firm didn\u2019t need users\u2019 permission, as the photos were publicly available online.<\/p>\n<\/p>\n

The compliance burden does not shrink because the organization does not own the device. These frameworks raise the baseline expectation for how any organization handles personal data in AI, regardless of the device where that data is entered. In the United States, organizations can refer to the NIST AI Risk Management Framework (AI RMF) to build responsible and secure AI systems. When organizations blocked BYOD in the early 2010s, employees connected personal devices through workarounds that were more dangerous than the original risk. Before an organization can govern AI usage, it needs to inventory what AI tools are in use \u2014 sanctioned and unsanctioned \u2014 and understand how data is flowing through them.<\/p>\n<\/p>\n

\u201cEven if one could remove the sensitive input, the challenge of confirming data sanitization of the neural network remains.\u201d The risk comes when data is collected without transparency or when individuals don\u2019t have control over how their information is used.\u201d \u201cOne big concern is that AI often requires large amounts of data, which can sometimes include personal or sensitive information. More specifically, 52% reference the possibility of AI attacks via threat actors as a significant risk. According to Immuta\u2019s AI Security & Governance Report, which surveyed 700+ data experts from around the globe, 80% of respondents said AI is making data security more challenging. Keep reading to learn why data leaders are prioritizing AI data protection.<\/p>\n<\/p>\n

\"AI<\/p>\n

In this blog, we\u2019ll break down the top challenges in AI data protection and explore practical solutions to help safeguard client environments and maintain regulatory compliance. Artificial intelligence (AI) is rapidly transforming the way IT teams manage operations, automate workflows, and support end users. HubSpot uses the information you provide to us to contact you about our relevant content, products, and services. Or internal threats like your favorite AI tool being an \u201coverly chatty employee\u201d and leaking sensitive data?<\/p>\n<\/p>\n

\"AI<\/p>\n

Platform<\/h2>\n<\/p>\n