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trustcloud

Balancing innovation and ethics: Navigating data privacy in AI development

Mar 18, 2025 By Tejas Ranade In TrustCloud
As AI continues to weave itself into the fabric of everyday business operations, it’s bringing real ethical questions to the forefront—especially around how data is used and protected. With innovation moving fast, tech leaders can’t afford to treat privacy and ethics as afterthoughts. It’s on us to build systems that respect people’s rights from the ground up and to make sure our use of AI reflects the values society expects us to uphold.
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11:11 systems

11:11 Systems Completes Certification in Data Privacy Framework

Mar 17, 2025 By Scott Gray In 11:11 Systems
In this day and age, data privacy and data protection are top of mind, for very good reasons. Keeping data safe isn’t just a good business practice, it’s an imperative for businesses around the world, since many governments are requiring data privacy and protection as a part of doing business in their jurisdictions. At 11:11 Systems, our commitment to data privacy and protection isn’t just a part of what we provide, it’s part of what we do internally as a business.
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cyjax

Core access: an analysis of the UK government's demand to Apple

Mar 13, 2025 By Jessica Bradbury In CYJAX
On 7 February 2025, it was reported that the UK government had demanded that Apple allow access to encrypted user data worldwide. Under current security policies, only the account holder can access the stored data in Apple’s cloud services, meaning the technology organisation itself cannot view it.
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riscosity

Automating Data Privacy Confidence with a PIA

Feb 25, 2025 By Christopher Widstrom In Riscosity
A Privacy Impact Assessment (PIA) is a process that helps identify and manage any privacy risks that may arise from taking on new projects or systems that involve personally identifiable information (PII). PIAs are recommended by the EU’s General Data Protection Regulation (GDPR) and required for government agencies to perform under the U.S. E-Government Act.
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securitysenses

Ensuring Data Privacy in Machine Learning: The Role of Synthetic Data in Protecting PII

Feb 12, 2025 By SecuritySenses In SecuritySenses
In today's data-driven world, machine learning (ML) models rely on vast amounts of information to power insights, automation, and decision-making. However, as organizations increasingly leverage these models, they must also address the critical challenge of protecting personally identifiable information (PII). Regulatory frameworks like GDPR, CCPA, and HIPAA place stringent requirements on how data is collected, processed, and shared, making privacy-preserving techniques essential for responsible AI and ML development.
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bulletproof

Privacy Enhancing Technologies (PETs): Data Protection Meets Innovation

Feb 11, 2025 By Isha Mishra In Bulletproof
The data protection law does not define PETs; however, The European Union Agency for Cybersecurity (ENISA) refers to PETs as: ‘software and hardware solutions, i.e. systems encompassing technical processes, methods or knowledge to achieve specific privacy or data protection functionality or to protect against risks of privacy of an individual or a group of natural persons.’1 In simple terms, they are strategies and tools designed at safeguarding privacy and empowering individuals.
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