ScienceLogic has launched Skylar AI 2.5, a new version of its AI platform designed to enhance IT operations. This release offers flexible deployment options, including sovereign cloud, on-premises, and secure cloud environments, to meet stringent security, sovereignty, and compliance needs. It also introduces improvements in AI accuracy, operational guidance, enterprise integrations, and governance.

ScienceLogic has announced the release of Skylar AI 2.5, an update to its AI platform designed to enhance secure deployment options for organizations with stringent security, sovereignty, and compliance requirements. The new version also introduces improvements to AI performance, operational intelligence, and enterprise integrations.
Skylar AI 2.5 aims to provide always-on guidance across complex IT environments, a critical feature for organizations implementing agentic AI. A key focus of this release is addressing the need for flexible infrastructure that aligns with strict security and governance mandates, particularly for government and other highly regulated industries.
To meet these demands, Skylar AI 2.5 offers deployment flexibility, including options for sovereign cloud, on-premises, and secure cloud environments. This allows customers to deploy trusted AI in the environments that best suit their operational and regulatory needs. ScienceLogic's commitment to secure, scalable AI solutions for regulated environments is further underscored by the company's FedRAMP Moderate authorization, achieved last year.
Beyond deployment flexibility, Skylar AI 2.5 includes several enhancements aimed at improving performance, usability, and AI-driven operations. These include strengthened advisory capabilities that improve event matching, refine severity assignment, and streamline workflows through tighter integration with Skylar One alerts.
The update also seeks to increase trust in AI recommendations by expanding AI knowledge capabilities to support enterprise content and provide greater transparency across AI-generated outputs. Users can expect deeper insights through richer analytics and visualization enhancements, which offer more actionable information via improved dashboards, filtering, trend analysis, and service visibility.
Platform optimizations in Skylar AI 2.5 are intended to reduce execution time, improve responsiveness, and increase scalability, thereby enabling more efficient scaling of AI operations. The release also enhances support for enterprise workflows, including integrations with Microsoft Teams and ServiceNow.
For stronger AI governance, Skylar AI 2.5 introduces capabilities to monitor internal Skylar AI agents, track token usage over time, and allow agents to be turned on or off based on changing operational requirements.
This release builds on previous enhancements to Skylar Analytics, Skylar Advisor, and the Skylar One “Kyoto” release, continuing ScienceLogic’s mission to help organizations implement AI-powered IT operations with improved governance, automation, and intelligence.
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