Bruno Couillard

🚀 Redefining Security with Next-Gen SIEM 🚀 Traditional SIEM tools struggle with today’s evolving threats. That’s why Seceon Inc.’s Next-Gen SIEM Platform goes beyond log collection—powered by AI/ML, Dynamic Threat Models (DTM), and real-time threat detection. ✅ Automated threat detection & response ✅ Reduced false positives with AI-driven analytics ✅ Seamless compliance & reporting ✅ Scalable for MSSPs & Enterprises 🔒 Stay ahead of cyber adversaries with Seceon’s aiSIEM — the ultimate choice for modern security operations. 👉 Learn more: https://lnkd.in/grFV-2fT #CyberSecurity #NextGenSIEM #AI #MachineLearning #DTM #ThreatDetection #MSSP #SOC #Seceon

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In order to match Elastic’s limitless scalability, our engineerings in Security Intelligence provide an immense library of prebuilt rules. These are constantly tuned, updated, and added in our mission to continuously identify and rapidly respond to high profile vulnerabilities. Below is a quick overview of the 113 new protections added as well as some of the tuning we did in July and August. Check it out ⬇️

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💥 NEW #Security Research: Our team uncovered "Chaotic Deputy," a set of 9.8-rated critical vulnerabilities in the Chaos Mesh platform including CVE-2025-59358, CVE-2025-59359, CVE-2025-59360 and CVE-2025-59361. These flaws can lead to a full Kubernetes cluster takeover. We've worked with the Chaos Mesh team on a patch and we recommend upgrading to v2.7.3 ASAP. For the full technical deep dive, attack prerequisites, and mitigation advice, read our blog: https://jfrog.co/466g2kh

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Like many organizations, the Toronto District School Board uses a test environment to fine-tune new applications before pushing them out for live use. In a ransomware attack last year, a hacker broke into that test environment—compromising the personal information of nearly 280,000 people. Learn more from our latest case of note. https://lnkd.in/gankPEb2

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🚨Invariant Labs has uncovered "Toxic Flows," a novel class of vulnerabilities that expose agentic AI systems to prompt injection and MCP-based exploits. To help developers stay ahead, we’re introducing the Toxic Flow Analysis (TFA) framework and the MCP-scan tool, the industry’s first approach to systematically detect and mitigate these emerging AI security threats before they happen. As AI agents become more dynamic and autonomous, traditional security tools fall short. TFA represents a paradigm shift, helping developers analyze how sensitive data flows through an AI system, and where things can go dangerously wrong. Dive deeper into TFA and try out MCP-scan in our latest blog: https://bit.ly/4lTnRPK

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Follow Cyber Rescue Alliance for daily cybersecurity insights that help you stay ahead of evolving threats. We've created a master file with over 2,000 insights from leading voices in cybersecurity — including Arctic Wolf, Coveware, Cyble, Cynomi, Databarracks, Flashpoint, Forescout Technologies Inc., IANS, and Software Analyst Cyber Research. Each insight links directly to its original source. You can click any image in the PDF to read the full report or register for additional details from the organization behind it. To download the full PDF, hover over the bottom right corner of the preview, click the rectangle icon to enter full screen, and click the download arrow in the top right.

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