Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Safely Enable ChatGPT and Other Generative AI Applications-In One Move!

At Netskope, we’ve talked a lot lately about how to safely enable ChatGPT and other generative AI applications such as Google Bard and Jasper. Why? As the saying goes, “There’s no going back.” Generative AI is here to stay and will have a transformative effect on our day-to-day lives whether we’re in technology or not.

Reddit and Extorted It: OpenAI Leaks and Paying for Ransomware?

Join Bill Carter and Robin Johns as they talk about the latest and greatest Cybersecurity topics and incidents happening across our digital landscape. In this episode we take a look at how Reddit has dealt with a recent data breach leading to personal information theft, and a hefty $4.5m demand to not leak the information, as well as how the OpenAI foundation has 100,000 ChatGPT user credentials available for sale on the dark web.

AI vs. Hackers: How Artificial Intelligence is Changing the Game in Cybersecurity

Artificial Intelligence (AI) has been used in every field today and become more and more prevalent. AI analyzes and trains large amounts of data. Furthermore, AI creates data patterns and makes correlations between them. The important thing about creating data patterns is that AI can use these data patterns and correlations for future cases.

Does ChatGPT Know Your Secrets? Threats and Benefits of AI in Your Environment

ChatGPT has been taking the World by storm, but it’s bringing with it issues around cybersecurity, data protection, and data privacy. IT leaders and business leaders are looking to create policies that will help protect their people and corporate assets, but so few people really understand the technology well enough to grasp and weigh the benefits, the concerns, and implications for the cybersecurity industry, in general.

ChatGPT Use is Increasing Exponentially in the Enterprise

ChatGPT is a language model that generates fluent, contextually relevant responses to prompts in a conversational fashion. Because it can generate fluent text in multiple languages, it is gaining popularity among enterprise users who are using it to help with the writing process, to explore new topics, and to write code.

The Future of Cybersecurity: Unleashing the Power of AI and Threat Intelligence

The rapidly evolving landscape of cybersecurity is witnessing the genesis of new paradigms, redefining the ways we perceive threat detection and response. Traditional approaches to cybersecurity are proving less effective against the sophistication of modern cyber threats. Among the many possible solutions, the integration of Threat Intelligence (TI) and Artificial Intelligence (AI) stands as an impressive contender, aiming to set a new standard in the industry.

Here's What ChatGPT and Netskope's Inline Phishing Detection Have in Common

Phishing attacks are a major cyber threat that continue to evolve and become more sophisticated, causing billions of dollars in losses each year according to the recent Internet Crime Report. However, traditional offline or inline phishing detection engines are limited in how they can detect evasive phishing pages. Due to the performance requirements of inline solutions, they can only target specific campaigns and, at best, act as a basic static analyzer.

ChatGPT and Data Privacy

In April 2023, German artist Boris Eldagsen won the open creative award for his photographic entry entitled, Pseudomnesia: The Electrician. But, the confusing part of the event for the judges and the audience was that he refused to receive the award. The reason was that the photograph was generated by an Artificial Intelligence (AI) tool.

AI Biases: Why Achieving Beneficial AI is Challenging

In this video, we delve into the complex issue of AI biases and the challenges they pose in creating a truly beneficial AI system. Join us as we explore the diverse perspectives surrounding the selection of biases in AI models, which often results in different representative AIs even within the same country. We discuss how individuals seek to have their own biases reflected in the AI models they use, or criticize them for perceived biases, highlighting the irony in contrasting approaches between countries like China and other nations. Moreover, we shed light on the elusive quest for objective determination of what's best for the majority, emphasizing the absence of a universally accepted method.