Risks
SaaS Security Essentials: Reducing Risks in Cloud Applications
As organizations increasingly rely on SaaS applications to run their operations, securing them has become a necessity. Without strong protection, sensitive data, user access, and cloud infrastructure are left vulnerable to breaches. SaaS security is not a single-layer fix; it demands multiple approaches to address cybersecurity threats across identity, data, and applications. Key Components of…
Evaluating social and ethical risks from generative AI
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may…
Open Source AI Models: Big Risks for Malicious Code, Vulns
Attackers are finding more and more ways to post malicious projects to Hugging Face and other repositories for open source artificial intelligence (AI) models, while dodging the sites’ security checks. The escalating problem underscores the need for companies pursuing internal AI projects to have robust mechanisms to detect security flaws and malicious code within their…
Shein hit with consumer protection action in EU as bloc unboxes strategy to tackle low-cost ecommerce risks | TechCrunch
Chinese ecommerce and fast fashion giant Shein is facing fresh scrutiny in the European Union in relation to consumer protection rules following the launch of a coordinated action by the bloc’s Consumer Protection Cooperation Network (CPCN). The action is being conducted with reference to the EU’s Unfair Commercial Practices Directive, Consumer Rights Directive, Unfair Contracts…
How Spread Betting Platforms Safeguard Traders Against Cyber Risks
Spread betting has become a very popular form of trading that allows people to speculate on the movement of a financial asset without owning the asset in question. It is one of the many trading models that is exclusively digital in nature, which makes it very flexible and provides an ease of access that cannot…
DeepSeek-R1 Red Teaming Report: Alarming Security and Ethical Risks Uncovered
A recent red teaming evaluation conducted by Enkrypt AI has revealed significant security risks, ethical concerns, and vulnerabilities in DeepSeek-R1. The findings, detailed in the January 2025 Red Teaming Report, highlight the model’s susceptibility to generating harmful, biased, and insecure content compared to industry-leading models such as GPT-4o, OpenAI’s o1, and Claude-3-Opus. Below is a…
GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
Technologies Published 4 December 2024 Authors Ilan Price and Matthew Willson New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead Weather impacts all of us — shaping our decisions, our safety, and our way of life. As climate change drives more extreme weather…
Are pre-owned smartphones safe? How to choose a second-hand phone and avoid security risks
Mobile Security Buying a pre-owned phone doesn’t have to mean compromising your security – take these steps to enjoy the benefits of cutting-edge technology at a fraction of the cost 09 Dec 2024 • , 5 min. read The modern smartphone has become an indispensable piece of technology. These powerful, pocket-sized computers enable us to…
Monetizing Research for AI Training: The Risks and Best Practices
As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it…