Shocking to no one: Artificial Intelligence (AI) was a huge topic at Black Hat USA 2023, but what did we learn about it? With no shortage of talks on it, there are many insights to take into account. We asked highly skilled Software Security Researchers who attended both Black Hat and DEFCON to weigh-in on the most insightful moments, particularly related to AI. Here’s what we found.
AI tools have become increasingly popular in various industries as businesses recognize their potential to revolutionize processes and drive innovation. These tools leverage advanced algorithms and machine learning techniques to automate tasks, analyze vast amounts of data, and generate valuable insights. In 2022, around 35% of businesses worldwide used AI tools and 61% of employees say AI helps to improve their work productivity.
As AI becomes more advanced, it’s important to consider all the ways AI can be used maliciously by cybercriminals, especially when it comes to cracking passwords. While AI password-cracking techniques aren’t new, they’re becoming more sophisticated and posing a serious threat to your sensitive data. Thankfully, password managers like Keeper Security exist and can help you stay safe from AI-password threats.
Artificial Intelligence (AI) and companion coding can help developers write software faster than ever. However, as companies look to adopt AI-powered companion coding, they must be aware of the strengths and limitations of different approaches – especially regarding code security. Watch this 4-minute video to see a developer generate insecure code with ChatGPT, find the flaw with static analysis, and secure it with Veracode Fix to quickly develop a function without writing any code.
According to a new report, cybercriminals are making full use of AI to create more convincing phishing emails, generating malware, and more to increase the chances of ransomware attack success. I remember when the news of ChatGPT hit social media – it was everywhere. And, quickly, there were incredible amounts of content providing insight into how to make use of the AI tool to make money.
From ChatGPT to DALL-E to Grammarly, there are countless ways to leverage generative AI (GenAI) to simplify everyday life. Whether you’re looking to cut down on busywork, create stunning visual content, or compose impeccable emails, GenAI’s got you covered—however, it’s vital to keep a close eye on your sensitive data at all times.
The past three months witnessed several notable changes impacting privacy obligations for businesses. Coming into the second quarter of 2023, the privacy space was poised for action. In the US, state lawmakers worked to push through comprehensive privacy legislation on an unprecedented scale, we saw a major focus on children's data and health data as areas of concern, and AI regulation took center stage as we examined the intersection of data privacy and AI growth.
As GenerativeAI expands its reach, the impact of software development is not left behind. Generative models — particularly Language Models (LMs), such as GPT-3, and those falling under the umbrella of Large Language Models (LLMs) — are increasingly adept at creating human-like text. This includes writing code.
Threat actors are constantly looking for new ways or paths to achieve their goals, and the use of Artificial Intelligence (AI) is one of these novelties that could drastically change the underground ecosystem. The cybercrime community will see this new technology either as a business model (developers and sellers) or as products to perpetrate their attacks (buyers).
TL;DR - The future of finance is intertwined with artificial intelligence (AI), and according to SEC Chair Gary Gensler, it's not all positive. In fact, Gensler warns in a 2020 paper —when he was still at MIT—that AI could be at the heart of the next financial crisis, and regulators might be powerless to prevent it. AI's Black Box Dilemma: AI-powered "black box" trading algorithms are a significant concern.
