Analytics platforms inherently deal with sensitive personal data, creating significant privacy concerns regarding compliance with regulations like GDPR and CCPA. A primary risk involves data breaches, where aggregated or raw analytical datasets can be compromised, leading to severe financial and reputational damage. Furthermore, the misuse of insights derived from analytics poses ethical challenges, potentially enabling discrimination, targeted manipulation, or surveillance. Other critical concerns include insider threats from privileged users, the propagation of errors due to inaccurate or biased data, and vulnerabilities introduced through the analytics supply chain. Securing the entire data lifecycle, from collection to insight generation, is vital to address these multifaceted security challenges effectively and maintain public trust. More details: https://nyhetsbrev.andremedvanner.se/Services/Letter/LinkClickHandler.ashx?Letter_Id=709b5953-9f04-4c94-94e1-4dfb9048b796&Content_Id=4197&Link_Id=1&Receiver_Id=00000000-0000-0000-0000-000000000000&Url=https://epi-us.com