GDPR

Ethical challenges of LGBTQ+ data protection

Donald Trump’s second term in office as the president of the United States has witnessed fundamental changes to how the US government operates. From the outset, Trump enacted various exercises aimed at cost-cutting and simplifying governance, then formed the Department of Government Efficiency, which he claimed would reduce the budget deficit. As part of these…

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SLA promises, security realities: Navigating the shared responsibility gap

The shared responsibility model (SRM) plays a central role in defining how security and operational duties are split between cloud providers and their customers. However, when this model intersects with service level agreements (SLAs), it introduces layers of complexity. SLAs typically cover metrics like uptime, support response times and service performance, but often overlook critical…

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Meta AI training will be challenged at Europe’s highest court, says data protection chief

Europe’s baulked attempt to curb Meta’s artificial intelligence (AI) training will persevere and culminate at the European Court of Justice (ECJ), said the data protection commissioner who is leading the challenge. Within days of European Union (EU) privacy commissioners giving Meta licence to train its popular open source Llama large language model (LLM) on public posts…

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Preparing for AI: The CISO’s role in security, ethics and compliance

As generative AI (GenAI) tools become embedded in the fabric of enterprise operations, they bring transformative promise, but also considerable risk. For CISOs, the challenge lies in facilitating innovation while securing data, maintaining compliance across borders, and preparing for the unpredictable nature of large language models and AI agents. The stakes are high; a compromised…

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Tech companies brace after UK demands back door access to Apple cloud

Technology companies are bracing themselves for more attacks on encryption after the UK government issued an order requiring Apple to create a back door to allow security officials access to content uploaded on the cloud by any Apple phone or computer user world-wide. The government has used powers under UK surveillance laws to issue a…

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Navigating the practicalities of AI regulation and legislation

Misusing artificial intelligence (AI) can have some very clear and expensive consequences. Movie studio Lionsgate recently joined a long list of organisations discovering that quotations and citations from generative AI (GenAI) systems need to be verified like any other source; Microsoft is being sued by a German journalist after Bing Copilot suggested he had committed crimes…

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Interview: Rahul Todkar, head of data and AI, Tripadvisor

Rahul Todkar, head of data and AI at Tripadvisor, has a broad remit. As well as leading a spectrum of data functions, from artificial intelligence (AI) to engineering and platforms, he’s also responsible for ensuring the business monetises the information it collects. Todkar found the scale of this opportunity hugely tempting when he joined the…

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How UK firms can get ready for the implementation of NIS2

The European Union’s landmark cyber security bill NIS2 is just months away from coming into force. With a compliance deadline of 17 October, the law aims to improve the bloc’s ability to fight rising levels of cyber crime by ensuring all member states follow the same cyber security rules and procedures.  Under this directive, each EU member…

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Mayor launches London Privacy Register for smart city information

The Mayor of London has launched a Beta of the London Privacy Register, which aims provide greater openness around the use of smart city technologies throughout the capital’s public spaces. According to the Mayor’s Office, the adoption smart city technologies in public spaces – including networks of sensors, cameras, drones, robotics, mobility services, augmented reality,…

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Mastering data privacy in the age of AI

Artificial intelligence (AI) is revolutionising the way organisations operate, using vast amounts of personal data to make smart, informed decisions. However, this incredible potential comes with concerns about data privacy. To truly benefit from AI, organisations must navigate the fine line between leveraging its power and protecting sensitive information, all while staying compliant with stringent…

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