Security News
88% of cybersecurity professionals believe that AI will significantly impact their jobs, now or in the near future, and 35% have already witnessed its effects, according to ISC2's AI study, AI Cyber 2024. The survey respondents are highly positive about the potential for AI. Overall, 82% agree that AI will improve their job efficiency as cybersecurity professionals.
Centralizing strategy, unifying risk and compliance data, and revamping the approach to cybersecurity are becoming more popular strategic objectives among respondents, especially with the rise of AI technology dismantling barriers and fostering collaboration among various GRC functions. It's no surprise that AI in cybersecurity presents a complex duality: AI simultaneously introduces new business risks while streamlining workflows for GRC professionals and helping stay abreast of innovative new cyberattacks, like deepfakes, more advanced phishing emails, better password guessing, neutralizing off-the-shelf security tools, and much more.
Meta, the company that owns some of the biggest social networks in use today, has explained how it means to tackle disinformation related to the upcoming EU Parliament elections, with a special emphasis on how it plans to treat AI-generated content that's meant to deceive. Many platforms have been publishing reports on their efforts to curb influence operations, disinformation and misleading content for many years, but it's becoming obvious that they must ramp up their efforts.
Cybersecurity researchers have found that it's possible to compromise the Hugging Face Safetensors conversion service to ultimately hijack the models submitted by users and result in supply chain...
Identifying and securing these secrets has proven challenging, in part because of high rates of false positives. AI and ML hold promise in identifying secrets more accurately; our recent research has found they can reduce the rate of false positives by as much as 86%. The article will explore the types of secrets, limitations of current security solutions, and the efficacy of integrating artificial intelligence and machine learning in security tools, allowing cybersecurity leaders to focus on the most critical risks.
Please turn on your JavaScript for this page to function normally. Big tech firms are already rolling out AI remediation tools to prevent developers from introducing security risks into the software development lifecycle.
Last year, the Open Worldwide Application Security Project (OWASP) published multiple versions of the "OWASP Top 10 For Large Language Models," reaching a 1.0 document in August and a 1.1 document...
Bob February 23, 2024 11:47 AM. I actually gave a presentation recently where I pointed out that it is inevitable that AI will be used to carry out attacks that change by the nanosecond, and that's going to be happening sooner than later. We currently find ourselves in the early stages of a brand new arms race.
Microsoft's Windows Photos app now has its own generative erase tool that enables users to replace unwanted objects with AI-generated content. This feature is rolling out to Windows Insiders in all channels today, including systems running Windows 10 in the Release Preview Channel.
Microsoft has released an open access automation framework called PyRIT (short for Python Risk Identification Tool) to proactively identify risks in generative artificial intelligence (AI)...