In recent years, the world of artificial intelligence (AI) has seen a significant increase in the use of language models. ChatGPT, a language generation model developed by OpenAI, has been making waves in the news with its ability to process large amounts of data, which can be used to train machine learning models and to test them. One feature that’s grabbed headlines is its ability to write code and provide feedback on the accuracy and efficiency of code.

We are happy to announce that ARMO Platform users can now utilize ChatGPT to quickly and easily create custom controls. ARMO is the first Kubernetes security company to offer this kind of integration. Read all about it 👇

With the rise of OpenAI’s GPT-3, ChatGPT and Codex products, as well as GitHub’s CoPilot and numerous competitors, today we’re seeing developers experimenting with AI to help augment their development workflows. While at first these efforts focused on more commonly used programming languages, such as Javascript and Python, the AI use cases are now expanding to Infrastructure-as-Code (IaC) configurations.

Artificial Intelligence (AI) is revolutionizing the financial services industry, known as fintech. From improving customer experience to reducing operational costs and mitigating risks, AI is having a significant impact on fintech. In this blog, we will explore the top 10 ways AI is being used in fintech.

With news headlines like “A massive ransomware attack hit hundreds of businesses” becoming common, concern about malware has never been higher. High-profile examples of malware like DarkSide, REvil have been profiled so many times that not only cybersecurity professionals are on edge — every organization that has on-premises or in-the-cloud workloads is concerned.

Even if you’ve been living under a super-sized rock for the last few months, you’ve probably heard of ChatGPT. It’s an AI-powered chatbot and it’s impressive. It’s performing better on exams than MBA students. It can debug code and write software. It can write social media posts and emails. Users around the globe are clearly finding it compelling. And the repercussions – good and bad – have the potential to be monumental.

There is a possibility that artificial intelligence (AI) will have a significant influence, in either a good or bad direction, on cybersecurity. On the plus side, artificial intelligence (AI) can be used to automate and improve many parts of cybersecurity. AI can find and stop threats, find strange behavior, and look at network traffic, among other things. This might be a game-changer for the industry.

ChatGPT is an artificial intelligence chatbot created by OpenAI, reaching 1 million users at the end of 2022. It is able to generate fluent responses given specific inputs. It is a variant of the GPT (Generative Pre-trained Transformer) model and, according to OpenAI, it was trained by mixing Reinforcement Learning from Human Feedback (RLHF) and InstructGPT datasets. Due to its flexibility and ability to mimic human behavior, ChatGPT has raised concerns in several areas, including cybersecurity.