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What is Qevlar AI?

Qevlar AI introduces a groundbreaking autonomous solution for Security Operations Centers (SOC), revolutionizing how cybersecurity teams manage threat investigation and response by fully automating the alert analysis workflow. Unlike traditional tools or AI assistants that require human involvement or predefined playbooks, this system independently scrutinizes alerts as soon as they arrive, aggregating and enriching data from various security instruments and external sources to evaluate the true essence of each alert. It skillfully correlates and assesses signals across multiple platforms, reconstructing attack patterns and providing a holistic insight into incidents, thereby enabling teams to move beyond fragmented workflows and reactive alert handling. By leveraging sophisticated agentic AI, the platform automates numerous facets of manual investigations, resulting in significant decreases in response times, improved consistency, and enhanced operational capabilities for security teams without the need for additional hires. This advancement not only streamlines workflows but also bolsters the overall efficacy of cybersecurity measures, ensuring that teams are more adept at addressing the continuously evolving landscape of threats. Ultimately, Qevlar AI empowers organizations to stay ahead of potential security risks by transforming how they interpret and respond to alerts.

What is Hyground?

Hyground acts as an AI-powered co-pilot tailored for DevOps and Site Reliability Engineering (SRE), providing a holistic operational intelligence platform that embeds itself within the customer’s Kubernetes environment while ensuring that no data is transmitted off-site. This advanced tool connects with more than 21 enterprise systems to evaluate incidents using diverse sources like logs, metrics, traces, and Kubernetes events. Engineers can ask questions in simple language and obtain insights that are customized to their unique datasets, which eliminates the necessity of learning complex query languages. The AutoRCA feature converts alert webhooks into independent root-cause analyses, sending notifications directly to platforms such as Slack or Teams. The investigation begins as soon as an alert is triggered, rather than waiting for an engineer's intervention, enabling clients to achieve reductions in mean time to resolution (MTTR) by as much as 85%. Utilizing Google’s Agent Development Kit, Hyground adopts a multi-agent framework that adapts by continuously learning from the customer’s infrastructure as it evolves. Each incident resolved contributes to the expanding knowledge base, ensuring that operational runbooks stay current and pertinent for upcoming challenges. Consequently, by promoting real-time insights and ongoing learning, Hyground significantly enhances the efficiency and effectiveness of teams in their operations. With this innovative approach, organizations can focus more on strategic initiatives rather than being bogged down by reactive troubleshooting.