When I wrote my first applications in high school, coding was a lot more time-consuming. I didn’t have libraries I could shop through with ready-made bits of code to drop in to save myself time or bridge the gap between the pieces of code I could write to create something more complex. Instead, I had to write everything from scratch. If I wanted to include any kind of image, I would have to draw it with mathematical coordinates, which took a ton of time.

In 1999, a far-fetched movie about a dystopia run by intelligent machines captured our imaginations (and to this day, remains my favorite film). Twenty-four years later, the line between fact and fiction has all but vanished and the blockbuster hits much differently. Are we entering the Matrix? Are we already in it? Can anyone be sure?

This MIT Technology Review headline caught my eye, and I think you understand why. They described a new type of exploit called prompt injection. Melissa Heikkilä wrote: "I just published a story that sets out some of the ways AI language models can be misused. I have some bad news: It’s stupidly easy, it requires no programming skills, and there are no known fixes.

Artificial intelligence has arguably overstayed its welcome as a buzzword in the technology realm, leading to debates around the efficacy of the tool and definition of the term for the better part of two decades. But in the world of cybersecurity, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals with nothing but time on their hands to break algorithm-based defenses.

Security AI usage has surged, and enterprises are reaping the benefits. In its 2022 Cost of a Data Breach Report, IBM found that organizations deploying security AI and automation incurred $3.05 million less on average in breach costs – the biggest cost saver found in the study. According to the study, organizations using security AI and automation detected and contained breaches faster. However, while leveraging AI clearly makes a difference, organizations must implement the right architecture.

When ChatGPT debuted in November 2022, it ushered in new points of view and sentiments around AI adoption. Workers from nearly every industry started to reimagine how they could accomplish daily tasks and execute their work — and the cybersecurity industry was no exception. Like shadow IT, new rogue AI tools — meaning AI tools that employees are adopting unbeknownst to the organization they work for — can pose security risks to your organization.

As a leader in applying AI to developer security, Snyk’s approach is unique. Today, we want to provide a glimpse at how Snyk currently uses AI and data science, as well as a sneak peek at what’s to come. Before diving in, we want to highlight two aspects of Snyk’s use of AI to set the stage.

In a groundbreaking move, Italy has imposed a ban on the widely popular AI tool ChatGPT. This decision comes in the wake of concerns over possible misinformation, biases and the ethical challenges AI-powered technology presents. The ban has sparked a global conversation, with many speculating whether other countries will follow suit.

New insights from cybersecurity artificial intelligence (AI) company Darktrace shows a 135% increase in novel social engineering attacks from Generative AI. This new form of social engineering that contributed to this increase is much more sophisticated in nature, using linguistics techniques with increased text volume, punctuation, and sentence length to trick their victim. We've recently covered ChatGPT scams and other various AI scams, but this attack proves to be very different.

There has been a lot of talk about ChatGPT since it burst onto the market several months ago. And despite its infancy and the lack of standardized regulations around intelligent automation — the OpenAI tool has exploded into the tech ecosystems of businesses everywhere. While many see significant benefits from its use, few discuss the cyber risk to the industry and our organizations.