Dark Reading named detection and response one of the top three trends at this month's RSA Innovation Sandbox. Check out the article to learn more about what's pushing the envelope in security. https://lnkd.in/gHbHuXY3
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I found some interesting facts from SiliconANGLE & theCUBE. At the moment, the IT industry is being significantly shaped by developments in AI, cloud computing, and cybersecurity. AI and Specialized Models: Companies are moving from large AI models to agile, multi-agent systems like SAMs (Small, Specialized, Secure Models). Meta’s LLaMA is growing fast, while OpenAI navigates talent changes. 🧑💻 Autonomous Agents & GenAI: Autonomous systems and GenAI are making waves in industries like customer service and system automation, driving a shift towards secure, distributed AI setups. 🛡️ Cybersecurity Innovations: AI-driven tools like Silverfort and Apono are enhancing incident response and access management, securing complex cloud-native infrastructures. ☁️ Cloud & Data Investments: Major cloud expansions from Google ($3.3B) and Intel ($8.5B) highlight the push for AI-optimized infrastructure to support growing AI workloads. 🏢 AI in Enterprise: Companies like PayPal and Deutsche Bahn are utilizing AI for operational efficiency and large-scale optimizations. 🌐 AI-Powered Networking: Juniper Networks and StarTree are leading AI-native solutions for data center optimization and real-time observability to ensure high performance. The future of AI is more specialized, secure, and enterprise-ready! 🚀 #Cybersecurity #GenAI
Here's a summary of the latest tech news from SiliconANGLE & theCUBE feed on our key themes and emerging trends shaping the industry this week. Powered by theCUBEai.com AI and Specialized Language Models: The focus on artificial intelligence, particularly large language models (LLMs) and their specialized variants (SLMs), remains at the forefront. Companies are shifting from monolithic AI architectures towards more agile, multi-agent systems like SAMs (Small, Specialized, Secure Models). This evolution is aimed at improving autonomy, security, and task-specific efficiency in AI systems. Meta’s LLaMA project is gaining momentum, while OpenAI undergoes talent shifts to maintain its edge in the highly competitive AI space. Autonomous Agents and GenAI: Advancements in autonomous agents and Generative AI (GenAI) are gaining significant traction across various industries. These technologies are being applied to practical use cases, from autonomous systems development to customer engagement platforms like Salesforce's Agentforce AI. As companies race to harness the power of GenAI, the shift towards more distributed, secure AI architectures is becoming more pronounced. Cybersecurity Innovations: The cybersecurity domain is seeing a surge in AI-driven solutions aimed at enhancing incident response (IR) and access management. Companies like Silverfort are introducing identity-first IR platforms, designed to streamline attack containment and incident management in complex cloud environments. AI-powered access management platforms, such as Apono, are becoming critical to securing cloud-native infrastructures and automating identity governance at scale. Cloud and Data Infrastructure Investments: Major investments in cloud and data infrastructure are ramping up to meet the demands of AI workloads and the increasing complexity of data center operations. Google’s $3.3 billion expansion in South Carolina is a testament to the industry’s push towards larger, AI-optimized cloud infrastructures. Similarly, Intel’s $8.5 billion CHIPS Act funding is poised to drive semiconductor innovation and bolster AI hardware capabilities, ensuring that data centers remain capable of supporting advanced AI systems. AI in Enterprise Use Cases: Real-world AI deployments are taking center stage as companies like PayPal and Deutsche Bahn showcase how AI can transform infrastructure management, traffic optimization, and financial systems. These AI integrations highlight the growing importance of machine learning and AI models in solving enterprise-scale challenges and driving operational efficiency. AI-Powered Networking and Observability: Networking solutions are also being reshaped by AI, with Juniper Networks leading the charge in AI-native data center optimization. AI-powered observability tools, such as those developed by StarTree using Apache Pinot, are enabling real-time monitoring and analytics, critical for maintaining high-performing, secure enterprise systems.
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🚀 Generative AI took center stage at Black Hat USA 2024, showcasing game-changing tools that are redefining cybersecurity. From AI-driven risk detection to advanced threat assessments and API protection, these innovations are designed to outsmart evolving cyber threats. The future of security is here, and it’s powered by AI. Don’t miss out on how these cutting-edge solutions can revolutionize your security strategy! 💻🔒 You can check the full article for more details: https://lnkd.in/g4BANu4g #BHUSA #BlackHat2024 #GenerativeAI #Cybersecurity #Innovation #TechRevolution #AI #CloudSecurity #RiskManagement
Generative AI takes center stage at Black Hat USA 2024
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🚨 The National Telecommunications and Information Administration (NTIA)'s backing of #opensource #AI could be a huge win for #cybersecurity. By promoting #transparency and #collaboration, this move helps #secure the future of AI while mitigating #risks. 🔐🤖 👇 Read more from Michael Lieberman in this Security Boulevard article: https://lnkd.in/gubaB6P9
Why NTIA Support of Open-Source AI is Good for Security
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AI is redefining the future of cybersecurity by taking a leading role in identifying and mitigating threats. At DEF CON earlier this month, the Defense Advanced Research Projects Agency (DARPA) convened 90 teams and asked them to build autonomous agents to probe open-source code bases, find vulnerabilities and automatically fix them. Building technology capable of doing so represents a white whale of AI development: a highly difficult-to-achieve technological breakthrough that could deliver massive gains in cybersecurity. In the end, the 90 competitors were able to find 22 unique vulnerabilities in major open-source programs like the Linux kernel, automatically patching 15. Read the full story and why leveraging AI-driven solutions is key to maintaining a strong defense posture at Cyberscoop: https://lnkd.in/eH7nzvqZ #CyberSecurity #AI #Innovation #CyberDefense #ECS #ECSCybersecurity
DARPA competition shows promise of using AI to find and patch bugs
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It's crucial for enterprises to not only adopt AI but also ensure that comprehensive security measures are in place to protect sensitive information and maintain trust. This approach will help mitigate risks and fully leverage AI's potential for innovation.
According to our survey of leading CISOs, security and privacy concerns are some of the biggest blockers to AI adoption. How can security and IT leaders mitigate these risks? In a new blog post, Eoin Hinchy shares three strategies: ✅ Employee awareness ✅ Robust security frameworks ✅ Advanced technology systems Read the full blog post: https://lnkd.in/eBKsvdPW Get our CISO perspectives on AI report: https://lnkd.in/eVmxgYcH
AI security: 3 ways to prioritize security and privacy in the Age of AI | Tines
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Threat Detection with Splunk When monitoring network traffic, Splunk’s Machine Learning Toolkit can be a game-changer. By setting up anomaly detection models, you can flag unusual activities automatically, reducing the time needed to identify threats. Have you tried this approach in your organization? #Splunk #ThreatDetection #ML #Cybersecurity https://lnkd.in/dGVzuQjW
Developing the Splunk App for Anomaly Detection
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Cyber scoop DARPA competition shows promise of using AI to find and patch bugs: The multimillion dollar challenge is trying to harness artificial intelligence to deliver major gains in cybersecurity. The post DARPA competition shows promise of using AI to find and patch bugs appeared first on CyberScoop. Check it out!
DARPA competition shows promise of using AI to find and patch bugs
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FYI - 'Top gen AI-driven cybersecurity tools, platforms, features, services, and technologies unveiled at Black Hat 2024 that you need to know about. Black Hat has served as a launchpad for several cybersecurity tools and technologies: this year’s launches were all about leveraging the power of generative AI to manage risks, detect fight cybercriminals, and safeguard your business. The event showcased a variety of innovations from industry leaders and emerging startups alike, highlighting the transformative impact of gen AI on cybersecurity' https://lnkd.in/ewTBXeJg #BlackHat #cybersecurity #GenAI #CyberSecuritySolutions #Innovation
Generative AI takes center stage at Black Hat USA 2024
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According to our survey of leading CISOs, security and privacy concerns are some of the biggest blockers to AI adoption. How can security and IT leaders mitigate these risks? In a new blog post, Eoin Hinchy shares three strategies: ✅ Employee awareness ✅ Robust security frameworks ✅ Advanced technology systems Read the full blog post: https://lnkd.in/eBKsvdPW Get our CISO perspectives on AI report: https://lnkd.in/eVmxgYcH
AI security: 3 ways to prioritize security and privacy in the Age of AI | Tines
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Corelight Gets $150M to Expand Detection, Improve Workflows - BankInfoSecurity.com: Corelight Gets $150M to Expand Detection, Improve Workflows BankInfoSecurity.com #CyberSecurity #InfoSec #SecurityInsights
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