Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a newly published report, the UK's National Cyber Security Centre (NCSC) has warned that malicious attackers are already taking advantage of artificial intelligence and that the volume and impact of threats - including ransomware - will increase in the next two years. The NCSC, which is part of GCHQ - the UK's intelligence, security and cyber agency, assesses that AI has enabled relatively unskilled hackers to "carry out more effective access and information gathering operations...

Generative AI and large language models (LLMs) are revolutionizing natural language processing (NLP), offering enhanced conversational AI experiences for customer service and boosting productivity. To meet enterprise needs, it’s important to ensure the responses that are generated are accurate as well as respect the permissions model associated with the underlying content.

Data protection principles are the same whether your data sits in a traditional on-premises data center or a cloud environment. However, the way you apply those principles is quite different when it comes to cloud security vs. traditional security. Moving data to the cloud – whether it's a public cloud like AWS, a private cloud or hybrid cloud — introduces new attack surfaces, threats and challenges, so you need to approach security in a new way.

As the use of Cloud SaaS platforms of generative AI solutions increases, the likelihood of more “GPT” attacks used to gather credentials, payment info and corporate data also increases. In Netskope’s Cloud and Threat Report 2024, they show a massive growth in the use of generative AI solutions – from just above 2% of enterprise users prior to 2023 to over 10% in November of last year. Mainstream AI services ChatGPT, Grammarly, and Google Bard all top the list of those used.

Artificial intelligence (AI) has been a hot topic of discussion this year among tech and cybersecurity professionals and the wider public. With the recent advent and rapid advancement of a number of publicly available generative AI tools—ChatGPT, Dall-E, and others—the subject of AI is at the top of many minds. Organizations and individuals alike have adopted these tools for a wide range of business and personal functions.

In today’s digital world, is your data 100% secure? As more people and businesses use cloud services to handle their data, vulnerabilities multiply. Around six out of ten companies have moved to the cloud, according to Statista. So keeping data safe is now a crucial concern for most large companies – in 2022, the average data leak cost companies $4.35 million. This is where cloud security architecture comes in.

Did you know you're carrying a secret superhero around in your pocket? Introducing: Your smartphone.

2024 just started but cloud network security insights are already emerging. Amongst all the research and insights GigaOm’s comprehensive research emerges as a vital compass. More than just a collection of data and trends, it’s a beacon for us – the decision-makers and thought leaders – guiding us to navigate these challenges with a focus on the human element behind the technology. GigaOm showcased indicators to where the market is heading.

The proliferation of artificial intelligence tools worldwide has generated concern among governments, organizations, and privacy advocates over the general lack of regulations or guidelines designed to protect against misusing or overusing this new technology.