ScienceLogic Enhances AI Platform for Proactive IT Mastery
ScienceLogic, a prominent provider of intelligent automation and observability solutions, has unveiled a suite of significant updates to its platform, enhancing its AI-driven capabilities for IT operations. These innovations, encompassing the ScienceLogic AI Platform and Skylar AI Suite, aim to redefine how organizations approach automation, observability, secure government operations, and low-code development. The announcement follows ScienceLogic’s recent recognition as a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms and a Leader in The Forrester Wave: AIOps Platforms, Q2 2025, underscoring its commitment to advancing AI-powered IT environments.
Michael Nappi, ScienceLogic’s chief product officer, emphasized the company’s focus on delivering “purposeful AI that empowers IT teams with the insight and control they need to stay ahead of disruptions.” He noted that by integrating advanced analytics, automation, and secure extensibility, ScienceLogic helps clients achieve superior outcomes across diverse hybrid-cloud and mission-critical environments.
Central to these updates is Skylar Analytics, which has rapidly gained acclaim since its early 2025 launch, earning the AI Breakthrough Award for “Predictive Analytics Platform of the Year” and a Bronze Stevies American Business Award for “Artificial Intelligence and Machine Learning Solution.” Building on this momentum, ScienceLogic has refined Skylar Analytics to transform raw operational data into strategic insights. Key enhancements include advanced data visualization through Apache Superset dashboards, offering a wide array of interactive charts and graphs for compelling data storytelling, accessible even to users without extensive technical backgrounds. Furthermore, new ODBC integrations with tools like Tableau and Microsoft Power BI simplify deep metric analysis, allowing business intelligence teams to leverage ScienceLogic’s comprehensive data lake with their preferred tools. The platform also boasts improved anomaly detection, providing prioritized scoring of outliers directly within the intelligent Device Investigator, alongside more visible predictive alerting that automatically flags potential issues such as storage exhaustion or network oversubscription before they escalate. These functionalities collectively facilitate a crucial shift for IT teams from reactive problem-solving to proactive, insight-driven management.
In a move set to accelerate government cloud adoption, ScienceLogic’s Government Cloud achieved FedRAMP Moderate Authorization in May 2025, adhering to over 300 stringent NIST-aligned security controls. Now listed on the FedRAMP Marketplace and the Department of Defense Information Network Approved Products List (DoDIN APL), this certification streamlines procurement for federal agencies. It delivers unified observability across on-premise, cloud, and hybrid infrastructures, complete with Zero Trust-aligned dashboards and AI-enhanced decision support designed to bolster operational resilience.
Additionally, new NVIDIA GPU Monitoring capabilities, delivered via the updated ScienceLogic PowerPack (v100), provide real-time observability for high-performance computing environments critical to AI training, simulation, and edge computing. This PowerPack automatically discovers GPU infrastructure and establishes proactive monitors for key metrics like utilization and thermal status. Built-in event policies trigger immediate alerts for issues such as overheating or performance drops, ensuring optimal value extraction from these often-expensive systems and workloads. These features empower IT teams to optimize resources, maintain uptime, and efficiently manage increasingly complex and rapidly expanding GPU infrastructures.
Finally, the Dynamic Application Builder (v1.2.0) has been enhanced to simplify custom monitoring through intuitive low-code tools. Addressing a common limitation in many out-of-the-box observability solutions, this update empowers IT teams to quickly instrument and monitor any new technology required by their organization. The low-code wizard accelerates custom monitoring development, allowing developers to configure HTTP/SSH credentials, pull API or CLI payloads, and export directly to ScienceLogic’s SL1 platform. New features include API testing, basic authentication (with OAuth2 support planned), integration with the “Low-Code Tools” PowerPack for bulk buildout, and stronger SSL verification and authentication handling. These advancements provide IT teams with greater control over their monitoring destiny, enabling rapid adaptation to evolving technological landscapes.