If you’re reading this article, you’re likely already considering an AWS migration for your company. You already have a handle on some of the perks migrating to AWS can have on your business but are reluctant considering how much disruption nearly every industry experienced within the last year or more. Rather than opting for more change, you might consider holding on to what you know until this period of disruption comes to an end.
Enterprises are embracing cloud platforms to drive innovation, enhance operational efficiency, and gain a competitive edge. Cloud services provided by industry giants like Google Cloud Platform (GCP), Azure, AWS, IBM, and Oracle offer scalability, flexibility, and cost-effectiveness that make them an attractive choice for businesses. One of the significant trends in cloud-native application development is the adoption of containerized applications, serverless architectures, and microservices.
Just last week the UK’s NCSC issued a warning, stating that it sees alarming potential for so-called prompt injection attacks, driven by the large language models that power AI. The NSCS stated “Amongst the understandable excitement around LLMs, the global tech community still doesn‘t yet fully understand LLM’s capabilities, weaknesses, and (crucially) vulnerabilities.
Can businesses stay compliant with security regulations while using generative AI? It’s an important question to consider as more businesses begin implementing this technology. What security risks are associated with generative AI? It's important to earn how businesses can navigate these risks to comply with cybersecurity regulations.
In our previous blog, we found a lot of phishing and scam URLs abusing Cloudflare services using pages.dev and workers.dev domains, respectively. We’re now seeing a lot of phishing emails with URLs abusing another Cloudflare service which is r2.dev.
