For those wondering what GraphQL is… “GraphQL is a query language for your API, and a server-side runtime for executing queries using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data.”

The Apache Log4j vulnerability has been making global headlines since it became public on 9th December 2021. The report stated that the vulnerability affects Apache log4j between versions 2.0 and 2.14.1 and is independent of the underlying JDK version. It was a full-blown security meltdown that resulted in hackers performing remote code executions and affected digital systems across the globe. In response, Apache implemented patch fixes, but some components remained unattended.

No sooner did ChatGPT and the topic of generative artificial intelligence (AI) go mainstream than every enterprise business technology leader started asking the same question. Is it safe?

Artificial intelligence is the hottest topic in tech today. AI algorithms are capable of breaking down massive amounts of data in the blink of an eye and have the potential to help us all lead healthier, happier lives. The power of machine learning means that AI-integrated telehealth services are on the rise, too. Almost every progressive provider today uses some amount of AI to track patients’ health data, schedule appointments, or automatically order medicine.

The Insider reported that an apparently AI-generated photo faking an explosion near the Pentagon in D.C. went viral. The Arlington Police Department confirmed that the image and accompanying reports were fake. But when the news was shared by a reputable Twitter account on Monday, the market briefly dipped. The photo was spread by dozens of accounts on social media, including RT, a Russian state-media Twitter account with more than 3 million followers — but the post has since been deleted.

As technology progresses and mobile devices become ubiquitous, a remarkably large number of people worldwide are now using smartphones. In fact, current estimates show that 6.8 billion users rely on their phones for an array of activities; but most significantly – 88% is dedicated to app usage! While the above stats show that the mobile app industry is thriving, it's also a matter of concern. Why?

As a natural language processing model, ChatGPT - and other similar machine learning-based language models - is trained on huge amounts of textual data. Processing all this data, ChatGPT can produce written responses that sound like they come from a real human being. ChatGPT learns from the data it ingests. If this information includes your sensitive business data, then sharing it with ChatGPT could potentially be risky and lead to cybersecurity concerns.

Humans have been interacting with a version of AI through voice assistants, facial recognition software and phone photo apps for years. AI’s progress in the last few months, however, has been nothing less than mind-blowing. With its new enhanced capabilities, a meteoric rise in AI’s popularity ensued, and the recent new generative AI services are quickly becoming essential tools for users of all kinds.

The Artificial intelligence (AI) based language model, ChatGPT, has gained a lot of attention recently, and rightfully so. It is arguably the most widely popular technical innovation since the introduction of the now ubiquitous smart speakers in our homes that enable us to call out a question and receive an instant answer. But what is it, and why is it relevant to cyber security and data protection?