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Description

With over ten years of AI modeling experience and a quarter-century in the fields of analytics and machine learning, Trellix Wise XDR capabilities effectively mitigate alert fatigue while identifying elusive threats. It enhances team efficiency by automatically escalating issues with relevant context, allowing every team member to actively seek out and resolve potential threats. Wise stands out by integrating with three times as many third-party applications compared to its competitors and harnesses real-time threat intelligence derived from a staggering 68 billion daily queries across over 100 million endpoints. The platform streamlines the process by automatically investigating alerts and prioritizing them through automated escalation, underpinned by workflows and analytics refined over a decade and backed by more than 1.5 petabytes of data. Users can seamlessly find, investigate, and address threats using AI-driven prompts that utilize everyday language, resulting in significant efficiency gains. In fact, teams can reclaim up to eight hours of Security Operations Center (SOC) work for every 100 alerts processed, with visible time savings displayed on dashboards. Trellix Wise ultimately alleviates alert fatigue for security operations teams of all experience levels, empowering them to investigate and automate the resolution of every alert effectively. This ensures a more robust defense against cyber threats in an increasingly complex digital landscape.

Description

Verdonz is an advanced platform for business intelligence and AI analytics tailored for teams analyzing company performance and data. The platform seamlessly integrates with various data warehouses, databases, query engines, monitoring systems, and knowledge repositories, systematically organizing metrics, entities, relationships, and access guidelines within a unified semantic model. Users can pose questions in natural language, delve into metric definitions and the SQL queries that underpin responses, and navigate through dashboards, reports, and alerts linked to governed metrics. AI agents that can be configured engage with connected data and knowledge either on demand, according to a set schedule, or in response to alerts; external assistants can retrieve authorized context via the read-only Model Context Protocol (MCP) server or through API access. Additionally, embedded analytics allow for the integration of saved queries across other applications, enhancing usability. Verdonz offers flexibility in deployment, as it can be accessed as hosted SaaS, via a dedicated instance or customer-specific cloud, and can also be utilized as self-hosted software for organizations requiring greater control over their infrastructure. This versatility makes Verdonz a compelling choice for businesses seeking to leverage data analytics effectively.