Cyber security

AI Security and privacy is a fundamental right, not a bargaining chip. Leaders must build AI systems that respect user privacy and data security. So when developing AI applications, prioritise building systems that respect user privacy rights. This means obtaining explicit consent  for data collection and implementing robust security measures to protect user information. By prioritising privacy, our Leaders will help build trust with users and ensure the long-term success of your AI endeavours.

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Related Stories

The CyberSecurity and the CTO Report in the Times

September 2023

The Times Newspaper and Digital Leaders have teamed up to publish a special report on CyberSecurity and the CTO in this morning’s edition of the Times. It’s a comprehensive read, but the headline seems to be clear that the threat landscape is worsening and the […]

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Is cyber security in local government user-centred enough?

May 2023

We often hear that the biggest cybersecurity vulnerability in any organisation is its own employees, but is this really the case? Arnie Armstrong, Cyber Security Principal at Made Tech asks could it instead be that our existing systems and processes were not designed with people […]

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Data protection and digital information (No. 2) bill, take two

May 2023

With the second reading of the UK Government’s Data Protection and Digital Information (No 2) Bill (the “Bill“) scheduled for Monday 17 April 2023, we thought it an opportune time to highlight the proposed changes to the UK General Data Protection Regulation (UK GDPR) that the Bill […]

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The power of cloud: protecting citizen data from cyberattacks

February 2023

Public sector organisations are digitising fast as they strive to deliver better and more cost-effective services. However, this puts them at increased risk of cybercrime. Recent high-profile data breaches and cyberattacks have cost millions and damaged public trust. With cloud technology, organisations can make the […]

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