India’s Artificial Intelligence market is rapidly expanding and is expected to reach $17 billion by 2027, but organizations face significant challenges in compliance and cybersecurity. Research indicates that Indian firms prioritize these concerns more than their global counterparts, highlighting the need for automation and strong data management to navigate these hurdles.
Mayer Brown’s webinar will address the Trump Administration’s new national security restrictions on AI exports, highlighting the importance of due diligence for companies using advanced AI commodities. Participants will learn about compliance best practices and the implications for their operations in the AI industry.
The article discusses the significant challenges that companies face regarding regulatory compliance in the context of AI adoption, particularly in Europe. It highlights issues such as the difficulty of interpreting regulations, risk avoidance, and the need for human oversight, which can slow down innovation and hinder the deployment of AI solutions.
In 2025, the adoption of Generative AI is significantly transforming privacy, governance, and compliance frameworks across various industries. As AI governance matures, organizations are increasingly integrating these frameworks into their existing operations to navigate the complex regulatory landscape.
Regulators are focusing on artificial intelligence as it evolves, posing challenges to fair competition within the digital economy. Various global approaches to data regulation are being adopted, highlighting the complexity of managing emerging technologies and competition in diverse markets.
Truyo and Carahsoft have partnered to provide a comprehensive AI governance platform to government agencies, ensuring safe and responsible AI usage. The platform includes features such as AI inventory modules and scorecards to enhance transparency and trust in AI practices.
The integration of AI in manufacturing offers significant benefits, such as increased innovation and productivity, but also presents risks related to security and compliance. Organizations must adopt proactive governance strategies to mitigate these risks and ensure that AI technologies work effectively within their operations.
This year’s RSAC Conference highlighted the pervasive influence of artificial intelligence (AI) in cybersecurity discussions, with nearly 90% of organizations adopting generative AI for security purposes. However, the conference also raised concerns about the growing risks associated with AI, including governance gaps and insider threats within organizations.
The podcast discusses the compliance risks associated with data during artificial intelligence (AI) processing, emphasizing the challenges of managing proliferating datasets. Mathieu Gorge, CEO of Vigitrust, highlights the importance of understanding data flow and maintaining compliance as organizations increasingly adopt AI technologies.
The European Union’s Artificial Intelligence Act (AI Act) is the world’s first comprehensive regulation on AI, impacting not only European entities but also U.S.-based organizations that develop or use AI technologies. Companies must prepare for compliance by assessing their AI systems against the Act’s risk categories and implementing necessary governance measures.