Security News
GitHub has updated the AI model of Copilot, a programming assistant that generates real-time source code and function recommendations in Visual Studio, and says it's now safer and more powerful. CoPilot will introduce a new paradigm called "Fill-In-the-Middle," which uses a library of known code suffixes and leaves a gap for the AI tool to fill, achieving better relevance and coherence with the rest of the project's code.
Artificial intelligence in the service of security was a major focus at global cybersecurity firm Check Point's annual showcase for customers, CPX 360 2023. Besides pulling the wraps off dozens of new products and services, including Quantum SD-WAN and an Extended Cyber Attack Prevention Platform that covers network, endpoints, emails and more, the event gave stage time to Check Point's ThreatCloud AI generative AI framework.
In this Help Net Security interview, Lenguito talks about threat prevention challenges and how his company can predict cyber attacks before they begin. What are today's main threat prevention challenges for large organizations?
Generative models will be integrated into the software we use every day. Machine learning models will generate more and more of the content we interact with.
Microsoft announced on Tuesday a new version of its Bing search engine powered by a next-generation OpenAI language model more powerful than ChatGPT and specially trained for web search. "Today, we're launching Bing and Edge powered by AI copilot and chat, to help people get more from search and the web."
Abstract: In this paper we describe how to plant novel types of backdoors in any facial recognition model based on the popular architecture of deep Siamese neural networks, by mathematically changing a small fraction of its weights. These backdoors force the system to err only on specific persons which are preselected by the attacker.
Teams of hackers defend their own computers while attacking other teams'. It's a controlled setting for what computer hackers do in real life: finding and fixing vulnerabilities in their own systems and exploiting them in others'.
OpenAI has released an AI text classifier that attempts to detect whether input content was generated using artificial intelligence tools like ChatGPT. "The AI Text Classifier is a fine-tuned GPT model that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT," explains a new OpenAI blog post. OpenAI released the tool today after numerous universities and K-12 school districts banned the company's popular ChatGPT AI chatbot due to its ability to complete students' homework, such as writing book reports and essays, and even finishing programming assignments.
The study finds a significant disconnect between data privacy measures by companies and what consumers expect from organizations, especially when it relates to how organizations apply and use artificial intelligence. The survey showed 60 percent of consumers are concerned about how organizations apply and use AI today, and 65 percent already have lost trust in organizations over their AI practices.
Rather than flooding legislators' inboxes with supportive emails, or dominating the Capitol switchboard with synthetic voice calls, an AI system with the sophistication of ChatGPT but trained on relevant data could selectively target key legislators and influencers to identify the weakest points in the policymaking system and ruthlessly exploit them through direct communication, public relations campaigns, horse trading or other points of leverage. This ability to understand and target actors within a network would create a tool for AI hacking, exploiting vulnerabilities in social, economic and political systems with incredible speed and scope.