According to the AV-TEST Institute, more than 1 billion strains of malware have been created, and more than 500,00 new pieces of malware are detected every day. One of the main reasons for this rapid growth is that malware creators frequently reuse source code. They modify existing malware to meet the specific objectives of an attack campaign or to avoid signature-based detection.

In late 2022, artificial intelligence (AI) chat and conversational bots garnered large followings and user bases. AI chatbots, including ChatGPT, Meta’s Blender Bot3 and DeepMind, and Google’s Sparrow, have numerous benefits and uses, including potentially replacing current search engines, but there are notable drawbacks.

Since it was first released to the public late last year, ChatGPT has successfully captured the attention of many. OpenAI’s large language model chatbot is intriguing for a variety of reasons, not the least of which is the manner in which it responds to human users. ChatGPT’s language usage resembles that of an experienced professional. But while its responses are delivered with unshakeable confidence, its content is not always as impressive.

Some of the world’s largest tech companies, like Google and Microsoft, have embedded AI into their business productivity suites, with Microsoft going a step further and releasing AI Copilot for Power Apps, its low-code platform. This integration has raised concerns over the decision-making power granted to business users to integrate data with AI and grant access, which can be done without oversight or control from IT.

It’s hard to go a day without some headline touting how generative AI is transforming the future of work. And this sentiment certainly rings true in the security industry as security operations centers (SOCs) continue to mature their security posture with automation so that they can protect their enterprise and customer data. But how are leaders and teams feeling about the progress of AI adoption and how the tools are being used?

Since OpenAI released its AI chatbot software ChatGPT in November of 2022, people from all over the internet have been vocal about this program recently. Whether you love this software or despise it, the bottom line on it seems to be that the technology behind ChapGPT isn’t going anywhere. At least not in the near-to-distant future, it seems. Those who have been curious can try out this enhanced conversational AI software, have found that their results are often varied when using ChatGPT.

Chat Generative Pre-trained Transformer (ChatGPT) is now available on the official Google Chrome store as a browser extension, giving you easy access to this sophisticated chatbot. How exciting does that sound? Read the full story here.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we are exploring voice-activated AI technology that allows computers to comprehend and respond to human speech, while analyzing some of its detrimental drawbacks.

Today we are going to keep looking at artificial intelligence and how corporations can get ahead of the risks thereof. Our previous post on AI was primarily a list of potential risks that could run rings around your company if you’re not careful; so what steps can the board and senior executives take to prevent all that? Well, first things first. AI is a new technology.

On November 30, 2022, ChatGPT quaked the digital world, sending a tremor that even rattled the cybersecurity industry. Instead of responding in panic, a more sensible approach is to begin learning how to leverage the technology to streamline your workflow and optimize your skills. In this post, we explain how ChatGPT can be used to improve your cybersecurity posture and data breach resilience.