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As we enter 2026, the winners will be those who operationalize compliance as a capability by linking AI governance, privacy discipline, and cybersecurity resilience to business enablement.
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As we kick off the new year, we asked several members of Taft’s Privacy, Security, and Artificial Intelligence practice group to share their thoughts on what should be on a client’s list of resolutions for 2026.
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An annual tradition continues at Cybersecurity Law & Strategy as we poll our panel of experts on the key developments of 2025 and what we can expect in 2026 in AI, privacy, e-discovery and other areas of legal tech.
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APAC is awash with recent changes in AI, privacy and cybersecurity regulations. Part one of this article examined the specifics of those changes and the paradigm shift they are precipitating. Part two explores the real-world implications of those changes and key takeaways for compliance teams.
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The increasing prevalence of cyberstalking, harmful deepfakes and online harassment is creating profound risks for individuals and organizations. So much so that Congress has implemented a federal statute designed to shift liability toward online platforms and provide victims with enforceable removal rights.
Features
APAC is awash with recent changes in AI, privacy and cybersecurity regulations. Part one of this article examines the specifics of those changes and the paradigm shift they are precipitating.
Features
On Oct. 9, 2025, the Colorado attorney general’s (AG) office announced final revisions to the proposed draft amendments to the Colorado Privacy Act (CPA) rules. This article provides background on the rulemaking and provide an overview of the revisions.
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The continued, rapid advancement of artificial intelligence technologies comes with increasing risks for businesses, demanding that they navigate such issues more carefully than ever. Considering recent privacy class action trends detailed in this article, companies that utilize AI in their business operations should immediately review and modify their compliance programs as necessary to mitigate legal risk and liability exposure.
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As AI becomes more embedded in everyday life and business operations, companies are facing a growing regulatory maze at the intersection of state privacy laws and emerging AI standards. This article explores the privacy laws that impact the use of AI and automated decision making and offers a practical guide for business leaders that aligns AI innovation with privacy expectations.
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Large amounts of data including personally identifiable information can be compromised in the event that debtors file for bankruptcy, and sell the information to pay back creditors.
