AI EdgeLabs

🚀 Thrilled to see AI EdgeLabs Security Agent live in the Barbara Marketplace, empowering industrial and edge environments to run faster, smarter, and more securely without compromise. 👌 Because security shouldn’t slow you down – it should move at the speed of your AI.

🏆 AI EdgeLabs Named as a Representative Vendor in Gartner Innovation Insight 🤗 We’re proud to share that AI EdgeLabs has been recognized as a representative vendor in Gartner’s latest report, “Innovation Insight: Cross-Industry Edge Computing Solutions Unveiled.” 👇 Key Insights from the Report: - Gartner studied 210 edge deployments across seven industries, highlighting edge computing’s rapid adoption and transformative impact. - By 2027, two-thirds of Tier 1 multichannel retailers are expected to deploy edge computing in stores. - By 2029, at least 60% of edge deployments will use composite AI–up from less than 5% in 2023. 👌 We remain committed to delivering autonomous, compliant, and high-performance edge security solutions that help organizations stay ahead of emerging threats. 🫶 Thank you to our partners, clients, and the entire AI EdgeLabs team for making this achievement possible.

Inna Ushakova 🇺🇦, CEO of AI EdgeLabs, and Marko Zbirka, our Chief Cybersecurity Researcher, joined 2025 Adtran Symposium at AXICA, Berlin. Inna participated in the panel, exploring both the challenges and opportunities for edge computing, emphasizing the importance of security-first architectures and scalable strategies for the next era of innovation. 👌 The event covered a range of future-defining topics – from quantum computing’s impact on encryption and network security, to the evolution of consumer connectivity (50G PON), and how the AI boom is reshaping datacenter demands for networking, cooling, and power. 👏 Thank you to Adtran for bringing together thought leaders and innovators shaping the future of networking.

The NIS2 Directive is reshaping cybersecurity for critical infrastructure and digital providers across Europe. The obligations are clear and the stakes are high: 🔸 Proactive risk management: You must secure assets, manage supply chain risk, and ensure robust incident detection and response. 🔹24-hour incident reporting: Significant cyber events must be reported to authorities within a day, with ongoing updates as investigations progress. 🔸Vulnerability handling: Continuous identification, assessment, and remediation of vulnerabilities, including those in your supply chain, are now mandatory. 🔹Business continuity: You need plans for operational resilience, disaster recovery, and crisis management, all backed by executive accountability. For many organizations, keeping up with these requirements is overwhelming—especially when security tools are siloed and reporting is manual. That’s where automation makes the difference. AI EdgeLabs delivers “compliance by default” with AI-native agents: instant incident reporting, real-time monitoring, and built-in controls for NIS2, CRA, and IEC 62443. No more audit scramble. No more gaps. 🧐 Is your security stack ready for NIS2? Discover how automation can turn compliance from a burden into a business advantage. Contact us https://edgelabs.ai/

🎉 AI EdgeLabs has been recognized by Gartner as a Sample Vendor in the Hype Cycle for Edge Computing 2025 under the Edge Security category. This recognition is more than just a milestone – it’s proof that our technology is not only relevant, but essential as the edge security market accelerates. 👌 At AI EdgeLabs, we’re building on this foundation with autonomous, AI-native security designed for the most demanding edge environments, from AI datacenters to smart cities. Where traditional tools fail, we protect in real time, at scale.

🚀 AI at the Edge takes the stage in Berlin! We’re thrilled to announce that Inna Ushakova, CEO of AI EdgeLabs, will join a panel discussion at Adtran flagship event – Warp Speed into the Future of Networking. 📍 AXICA, Berlin 🎤 Panel: AI in all quadrants: Edge computing for the galactic enterprise 🕔 21 October, 17:45–18:45 The session will explore how AI at the edge is reshaping enterprise, telco, and critical infrastructure – and how the right architecture, monetization strategies, and security-first approach can unlock the next era of innovation. Don’t miss this chance to hear from Inna and other industry leaders driving the future of AI and edge computing. 👉 Register here: https://lnkd.in/d3MwRqeE

Stacking EDR, NDR, SIEM, and vulnerability scanners might seem comprehensive, but in reality, it drains the budget, overwhelms your team, and creates critical blind spots. Managing siloed tools means greater complexity, more manual work, and an elevated risk of attack. 🪄 AI EdgeLabs solves this by unifying every layer with a single lightweight agent. You get total coverage and streamlined operations, cutting your TCO by 3–5×. Eliminate the vendor juggling and integration headaches for good. 👌 One master-node license secures up to 100 workloads. Simplify your security, protect more effectively, and empower your team to focus on what matters most.

🔍 Another reminder of how relentless the cyber threat landscape has become — and why reactive defenses just don’t cut it anymore. At AI EdgeLabs, we stop attacks inline and in real time — before vulnerabilities turn into incidents. No waiting for cloud lookups. No lag. No compromise. 🧠 AI-native. Inline. Autonomous. That’s the future of runtime protection.   Want to see how we address these vulnerabilities? Get a demo  https://edgelabs.ai

⚙️ GPU clusters are the engines of modern AI and analytics — but their value also makes them prime targets for cryptojacking and model attacks. Even brief downtime or resource hijacking can disrupt business and inflate costs. Traditional security tools can’t keep up with the speed or complexity of GPU workloads. AI-native runtime security works differently: it inspects every process in real time, blocks zero-day threats without signatures, and operates with less than 2% CPU overhead — so your jobs never slow down. Why risk your models, data, or revenue? With autonomous, inline defense, you can secure every GPU workload — no manual intervention, no performance trade-offs. 📩 Ready to see how runtime AI security can protect your clusters? Let’s talk.

🚋 Public transportation and smart mobility networks are facing a surge in ransomware, SCADA disruption, and IoT attacks. These threats put uptime, passenger safety, and regulatory compliance at risk - especially as NIS2 and CRA raise the bar for security standards. AI-native runtime security changes the game. By monitoring every workload and network flow in real time, it stops attacks before they spread, even in complex, distributed, or resource-constrained environments. No heavy agents, no manual tuning, and no cloud dependency required. Forward-thinking transit and mobility operators are moving to single-agent, multilayer runtime defense to meet new compliance and resilience demands—protecting operations, revenue, and passengers. Is your transportation security strategy keeping up with the pace of modern threats?