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Plus, OWASP is offering guidance about deepfakes and AI security. Meanwhile, cybercriminals have amplified their use of malware for fake software-update attacks. Where can you find a comprehensive guide of tools to secure generativeAI applications? Dive into six things that are top of mind for the week ending Nov.
Leaderboards are a good place to start when looking at open source gen AI, says David Guarrera, generativeAI lead at EY Americas, and Hugging Face in particular has done a good job benchmarking, he says. With an open source project, there might not be anyone on the team whose job it is to look for signs of jailbreaking.
Meta has also released the Llama Stack APIs , a set of APIs to aid developers building generativeAI applications. Their goal is to enable building realistic voice applications, including the ability to interrupt the AI in the flow of conversation. AI avatars are interviewing job candidates.
Interest in generativeAI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Organizations are treading cautiously with generativeAI tools despite seeing them as a game changer. Generate new ideas and insights GenerativeAI can combine existing knowledge in new ways.
Following this, we proceeded to develop the complete solution, which includes the following components: Management console Catos management application that the user interacts with to view their accounts network and security events. About the Authors Asaf Fried leads the Data Science team in Cato Research Labs at Cato Networks.
I also emphasized that companies need to urgently review their employee access protocol, writing that companies must “ make it a point to do continuous employee training to help your teams avoid being duped by phishing and malware tactics.” According to reports, MGM and Caesars were both customers of identity management company Okta.
This isn’t just a few individual bad actors; it’s a sophisticated, industrial-scale, state-sponsored threat that’s been simmering for the last two years and has now reached full boil. June 2024: The Wall Street Journal interviews CEOs about bad actors using deepfakes to get hired into cybersecurity positions.
There has been growing interest in the capabilities of generativeAI since the release of tools like ChatGPT, Google Bard, Amazon Large Language Models and Microsoft Bing. Organizations are treading cautiously with their acceptance of generativeAI tools, despite seeing them as a game changer. And rightly so.
Published this week, the advisory details the 47 Common Vulnerabilities and Exposures (CVEs) that attackers most often exploited in 2023, along with their associated Common Weakness Enumerations (CWEs). The advisory also offers prevention and mitigation recommendations both to end-user organizations, and to software vendors and developers.
Created by the Australian Cyber Security Centre (ACSC) in collaboration with cyber agencies from 10 other countries, the “ Engaging with Artificial Intelligence ” guide highlights AI system threats, offers real-world examples and explains ways to mitigate these risks. So says the U.K.
The security world saw another software supply chain disaster when CrowdStrike released a bad software update that disabled many Windows machines worldwide. We’re also seeing a surge in malware traffic, along with bogus vulnerability reports in CVE. You can share projects with other people on your team. Team and Pro plans only.
Merging large language models gets developers the best of many worlds: use different models to solve different kinds of problems. Researchers have developed a method for detecting AI-generated text that is 90% accurate and has a false positive rate of only 0.01%. Ruffle is a Flash emulator built with Rust and WASM.
(Source: IBM’s “Cost of a Data Breach Report 2024,” July 2024) Meanwhile, AI has become both a blessing and a curse, helping security teams and data thieves alike. Security teams that use AI and automation extensively for prevention experience an average of $2.2 percent increase from last year.
And enterprises go full steam ahead with generativeAI, despite challenges managing its risks. critical infrastructure IT and operational technology security teams, listen up. Consequently, it’s critical to develop quantum-resistant encryption algorithms in order to prevent a global data-theft disaster. And much more!
Interest in generativeAI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Organizations are treading cautiously with generativeAI tools despite seeing them as a game changer. Generate new ideas and insights GenerativeAI can combine existing knowledge in new ways.
More security teams are incorporating AI to uplevel their defense strategies and boost productivity. With so much AI buzz, it may be overwhelming to decipher which tools to acquire and how they fit in a modern security strategy. So how is AI being put to use in security programs? How has generativeAI affected security?
1 - Excitement over GenAI for cyber defense Artificial intelligence, and generativeAI (GenAI) specifically, captured the world’s imagination in 2023, as we all marveled at the technology’s potential for good and evil. Cybersecurity teams were no exception. No small task.
Artificial intelligence is already showing its potential to reshape nearly every aspect of cybersecurity – for good and bad. If anything represents the proverbial double-edged sword, it might be AI: It can act as a formidable tool in creating robust cybersecurity defenses or can dangerously compromise them if weaponized.
Precision AI by Palo Alto Networks is our proprietary AI system that helps security teams trust AI outcomes by using rich data and security-specific models to automate detection, prevention and remediation. This same pattern of behavior has been observed with new AI technology.
Cybersecurity teams must beware of RansomHub, a surging RaaS gang. That’s the warning from CISA, which urges cyber teams to protect their organizations by keeping software updated, adopting phishing-resistant multi-factor authentication and training employees to recognize phishing attacks. And much more!
Cobalt Strike , a tool for adversary simulations and red team operations from Fortra, has been misused for years by hackers to carry out many high-profile cyberattacks. Dive into six things that are top of mind for the week ending July 5. s National Crime Agency (NCA). Almost 600 had been taken down by the end of June.
ChatGPT, OpenAI’s text-generatingAI chatbot, has taken the world by storm. In any case, AI tools are not going away — and indeed has expanded dramatically since its launch just a few months ago. OpenAI is partnering with Scale AI to allow companies to fine-tune GPT-3.5.
Remember that these “units” are “viewed” by our users, who are largely professional software developers and programmers. Software Development Most of the topics that fall under software development declined in 2023. Software developers are responsible for designing and building bigger and more complex projects than ever.
1 - Cybersecurity teams to be the least impacted by job cuts With employers concerned about global economic headwinds and a possible recession, continued layoffs are probable in 2023, but infosec pros are the least likely employees to lose their jobs. Then check out how the Reddit breach has put phishing in the spotlight. And much more!
OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generativeAI in more ways, but sometimes it’s better not to. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.
Here’s a common scenario: Your business is eager to use – or maybe is already using – ChatGPT, and the security team is scrambling to figure out what’s ok and not ok for your organization to do with the ultra-popular generativeAI chatbot.
Threat actors could potentially use an AI language model like ChatGPT to automate the creation of malicious content, such as phishing emails or malware, in order to conduct cyberattacks. However, it's important to note that AI language models like ChatGPT do not have the ability to initiate or execute malicious actions on their own.
DSX provides unmatched prevention and explainability by using a powerful combination of deep learning-based DSX Brain and generativeAI DSX Companion to protect systems from known and unknown malware and ransomware in real-time. This situation hampers proactive threat hunting and exacerbates team burnout.
In 2025, innovation in generativeAI, automation, and IoT/OT technologies is poised to push boundaries across various industries. It enables attackers to automate phishing campaigns, create evasive malware, expedite threat development through AI, and offer Ransomware-as-a-Service (RaaS).
And get the latest on the most prevalent malware; CIS Benchmarks; an AI security hackathon; and much more! Thats because performing multiple cyber functions has become the norm on security teams. Check out mitigation recommendations to protect your organization against the Ghost ransomware gang.
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