Microsoft has an AI agent that can detect malware.
Microsoft is announcing Project Ire today, an autonomous AI agent that can analyze and classify malware without assistance. Developed by Microsoft Research, Microsoft Defender Research, and Microsoft Discovery & Quantum, Project Ire is the first agent at Microsoft to independently author a conviction case 'strong enough to justify automatic blocking' of an APT malware sample. Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates. Tom Warren Posts from this author will be added to your daily email digest and your homepage feed. See All by Tom Warren
Posts from this topic will be added to your daily email digest and your homepage feed. See All Microsoft
Posts from this topic will be added to your daily email digest and your homepage feed. See All News
Posts from this topic will be added to your daily email digest and your homepage feed. See All Security
Posts from this topic will be added to your daily email digest and your homepage feed.
See All Tech
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
21 minutes ago
- Yahoo
Euna Solutions Wins 2025 AWS Champions Award for AI Innovation in Public Sector Procurement
Euna Procurement's AI project summaries & keywords feature transforms the public bidding experience for government agencies and suppliers ATLANTA & TORONTO, August 07, 2025--(BUSINESS WIRE)--Euna Solutions®, a leading provider of purpose-built, cloud-based solutions for the public sector, today announced it has been named a 2025 AWS Champions Award winner for its groundbreaking use of artificial intelligence to modernize the public sector bidding process. Powered by AWS's secure and scalable AI/machine learning infrastructure, Euna Solutions' latest innovation — AI Project Summaries & Keywords — is transforming how public procurement professionals and suppliers interact with complex bid opportunities. Available through Euna Procurement, the feature automatically generates clear, concise project descriptions and relevant keyword metadata from lengthy and technical RFx documents. "Public procurement plays a critical role in how communities access goods and services," said Tom Amburgey, CEO of Euna Solutions. "By leveraging the power of AWS and generative AI, we're reducing complexity and making it easier for suppliers to engage, which helps agencies increase competition and improve outcomes for the people they serve." Streamlining Procurement for All Procurement teams have long struggled with inefficient manual processes, unclear project descriptions, and mismatched bids. Euna Procurement's AI Project Summaries address these challenges by: Instantly summarizing dense bid documents into digestible, actionable content Auto-tagging projects with accurate, searchable keywords to improve discoverability Saving procurement staff time by automating repetitive content creation Helping suppliers quickly determine bid relevance and respond more confidently The result is a more accessible and transparent procurement process that boosts supplier participation and drives stronger competition. Raising the Bar for Public Sector Technology The AWS Champions Award recognizes organizations that use AWS technologies to drive meaningful transformation. Euna's award-winning AI Project Summaries exemplify how targeted innovation can eliminate longstanding friction in the procurement cycle and deliver real-time value for agencies, suppliers, and taxpayers alike. About Euna Solutions Euna Solutions® is a leading provider of purpose-built, cloud-based software that helps public sector and government organizations streamline procurement, budgeting, payments, grants management, and special education administration. Designed to enhance efficiency, collaboration, and compliance, Euna Solutions supports more than 3,400 organizations across North America in building trust, enabling transparency, and driving community impact. Recognized on Government Technology's GovTech 100 list, Euna Solutions is committed to advancing public sector progress through innovative SaaS solutions. To learn more, visit View source version on Contacts Media contact:Michael TeboGabriel Marketing Group (for Euna Solutions)Phone: 571-835-8775Email: michaelt@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
21 minutes ago
- Yahoo
OpenAI Opens Up With New GPT-OSS Models
OpenAI, backed by Microsoft (MSFT), just stepped deeper into the open-source world with two new open-weight AI modelsgpt-oss-120b and gpt-oss-20btaking direct aim at Google's (NASDAQ:GOOG) Gemini CLI and DeepSeek's (DEEPSEEK) R1. The bigger model, 120b, is designed to run in data centers or on high-end hardware with Nvidia (NVDA) H100 GPUs, while the smaller 20b model works on most desktops and laptops. According to Amazon Web Services (NASDAQ:AMZN), the 120b model running on Bedrock is up to 3x more price-performant than Gemini, 5x better than DeepSeek-R1, and even 2x better than OpenAI's own o4 model. At this scale, giving developers open access is a game-changer, said Atul Deo from AWS, calling it a major step forward for enterprise AI. The models are released under the Apache 2.0 license, so developerseven commercial teamscan use them freely without worrying about copyright or patents. The training data and model code however are not publicly available, so these models are open-weight, but not available through Hugging Face, GitHub, and is signaling it's ready to compete openlynot just behind closed APIs. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Android Authority
23 minutes ago
- Android Authority
Welcome to dystopia: I helped ChatGPT pass a CAPTCHA and doomscroll my Facebook
Calvin Wankhede / Android Authority Last week, OpenAI released what may be the most ambitious (and potentially controversial) update to ChatGPT since its launch: Agent mode. Unlike the standard conversational interface, Agent mode gives ChatGPT control over a virtual machine running Chrome, allowing it to interact with websites like a human would. It can identify elements on websites, scroll, click buttons, fill out forms, and, if granted credentials, even log into your online accounts. For the first time since the AI's launch, it can perform tasks instead of spitting out some text on how to do it yourself. On the surface, the potential seems endless. The chatbot could reply to your emails, shop for groceries, book a flight, or perform even more complex tasks spanning multiple websites. The best part is that you can watch ChatGPT 'move' its mouse cursor around the virtual web browser and navigate the internet (as you can see in the video below). Admittedly, it's a lot like a toddler struggling to walk at times, but it's endlessly fascinating nonetheless. So what can ChatGPT's Agent mode actually do with all of these capabilities? To answer that question, I tested the feature with a couple of real-world tasks — the kind you might actually want to offload to an AI assistant. Here's how it handled them, and what ChatGPT did when it encountered an obstacle. Putting ChatGPT Agent to work: A grocery run Amazon's Alexa can add toilet paper to your cart with a voice command, but ChatGPT's Agent mode can be entrusted to do a whole lot more. Specifically, it can shop your entire grocery list on any platform of your choice. Case in point: I gave the agent a simple task: buy everything I would need for a homemade pizza from Walmart. I didn't offer any specific ingredients, items, or even guidance on price just to see what it would pick. The agent booted up a virtual computer and navigated to Walmart in no time. But it ran into a roadblock almost immediately — Walmart threw up an anti-bot verification screen requiring a human to press and hold a button. Shockingly, the agent recognized this screen and asked me to briefly take control of the browser and complete the task. I took control and about ten seconds later, we were in. I handed control back, and the agent immediately got to work. It looks like CAPTCHAs will need to evolve yet again if they are to keep bots out in the future. ChatGPT summoned me when it needed a human touch, which it turns out means just solving CAPTCHAs. Moving on, I watched the agent methodically search for 'pizza dough,' 'pizza sauce,' 'mozzarella cheese,' and 'pepperoni.' But to my surprise, the agent didn't just grab the first result. Instead, it prioritized familiar and well-priced alternatives just like I personally would. In more than one instance, I watched it pick the third or fourth item in the results or call a competing product overpriced. The agent also correctly moved past inaccurate search results like a fully premade frozen pepperoni pizza when it was merely shopping for pepperoni, the ingredient. Within four minutes, my virtual cart was filled with everything I needed to make a pizza. The agent navigated to the checkout page and then handed control back to me to complete another CAPTCHA, login, and enter my payment details securely. ChatGPT says it cannot see your inputs when you're in control of its virtual machine, presumably meaning it can't store your login or credit card info. Despite that, I didn't elect to enter my login details and therefore, spent the night without any pizza. Needless to say, this was a very impressive showing even if it was a rather straightforward task with a clear sequence of actions. But can the agent handle something more ambiguous? I decided to give it a harder challenge: find a list of used car candidates on Facebook Marketplace. Can ChatGPT find the perfect used car? I love Facebook Marketplace because there's always a great deal around the corner, but I dread scrolling through the hundreds of listings to find the right one. So I put ChatGPT's Agent mode to the task, fully expecting it to stumble at some point. Specifically, I asked it to log into my Facebook account, navigate to the Marketplace tab, and compile a list of used Honda Fit specimens. As if that wasn't difficult enough, I asked it to only look for 2015 to 2020 models within a 50-kilometer radius of Toronto. Much to my surprise, the agent started off strong and logged into my Facebook account without a hiccup. I did have to step in to provide a two-factor authentication code, but other than that, it was an entirely painless process. ChatGPT navigated to the Marketplace section, changed the location to the city I provided, and even adjusted the maximum distance filter. It then started going through individual listings and recorded important details about each car it came across. To be fair, ChatGPT's Agent mode is not faster than a human — I could probably go through individual listings faster than the agent, at least in its current state. But like any computer, ChatGPT is stubbornly persistent. After watching it look through listings for a few minutes, I walked away from my computer to grab a coffee. When I returned about ten minutes later, the agent was still meticulously clicking on individual listings. ChatGPT is stubbornly persistent, and scrolled through over a hundred listings on Facebook Marketplace. The final result was a comprehensive report of two to three dozen cars that met my criteria. As the image above shows, the agent had compiled a detailed brief for each vehicle it found. It organized the key details into columns: year and model, price and mileage, transmission, and location. It even created a notes section where it summarized the seller's description, pulling out crucial information like 'dealer listing,' 'salvage title,' or 'open to negotiation.' Finally, each line item had a screenshot of the Marketplace listing for me to peruse if I was interested in that specific vehicle. If that seems impressive, it absolutely is. Putting together a list like this manually would otherwise have taken me at least a couple of hours. And the best part is that I could probably go one step further and ask the ChatGPT agent to contact the shortlisted sellers on my behalf. It's not the responsible thing to do, but it's certainly a possibility. Not perfect, but impressive…and scary Calvin Wankhede / Android Authority ChatGPT's Agent mode is not perfect by any means; I watched it go in an endless loop countless times until I was forced to intervene. It can also follow instructions too closely, almost to a fault. For example, it refused to accept a search radius of 51km instead of the 50km I prescribed on a different used auto website. The result? The agent used its virtual mouse to 'drag' a slider back and forth for several seconds until it landed precisely on the 50km it needed. Common sense doesn't come naturally to AI, even in agent mode. I also noticed a pretty big delay between ChatGPT executing an action like clicking on a link or pressing the browser's back button. This causes the AI to retry the action, which is a big problem because it inevitably ends up on the wrong page. At times, the agent would click the back button twice and end up on the homepage. It would then restart the whole search all over again, wasting several minutes in the process. ChatGPT Agent can be a bumbling fool sometimes, but it's only going to get better. But for all its clumsy moments, the true significance of Agent mode isn't in its current speed or ability. The fact that I could walk away to make a coffee while an AI autonomously compiled a detailed report on used cars is the main value proposition here. The potential for increased productivity is massive. But at the same time, I'm not sure how I feel about an AI making decisions on my behalf. So the question now is: how much more autonomy are we willing to hand over to AI? If you'd like to use Agent mode, keep in mind that you will need a ChatGPT Plus subscription. That will set you back $20 monthly, and the feature is currently capped at just 40 messages each month. But if you're patient, I'm sure it will eventually trickle down to the free tier just like other new ChatGPT features in the past. Follow
