Macro technology trends have always impacted and influenced every aspect of the retail industry. From the days of catalog ordering and cash only transactions to today’s personalized, always-on omnichannel experiences where contactless payment has become the norm - the world of retail is almost unrecognizable.

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.

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...

Natural language prompts put the power of NQE into the hands of every networking engineer As featured in Network World, Forward Networks has raised the bar for network digital twin technology with AI Assist. This groundbreaking addition empowers NetOps, SecOps, and CloudOps professionals to harness the comprehensive insights of NQE through natural language prompts to quickly resolve complex network issues. See the feature in action.

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.

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.

Most WAF providers rely on reactive methods, responding to vulnerabilities after they have been discovered and exploited. However, we believe in proactively addressing potential risks, and using AI to achieve this. Today we are sharing a recent example of a critical vulnerability (CVE-2023-46805 and CVE-2024-21887) and how Cloudflare's Attack Score powered by AI, and Emergency Rules in the WAF have countered this threat.