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ScienceLogic Launching AI Advisor to Guide IT Operations

ScienceLogic launches Skylar Advisor, an AI-native IT advisor that turns observability data and knowledge into proactive, trusted operational guidance.

Written By
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Jordan Smith
Jordan Smith
Feb 6, 2026
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ScienceLogic has announced the launch of Skylar Advisor, an AI-native advisor designed to help IT teams turn overwhelming data into valuable outcomes and proactively guide IT operations.

ScienceLogic promises IT teams automated and verifiable guidance

Skylar Advisor combines real-time observability data with customer-owned knowledge to reason across IT environments and deliver transparent, explainable, and verifiable guidance. 

This is key as IT environments grow more distributed and complex, and teams face more alerts, telemetry, tickets, and documentation across siloed tools.

“IT teams are drowning in data, but starving for insight,” said Dave Link, CEO and co-founder of ScienceLogic. 

“Skylar Advisor applies AI reasoning directly to operational reality – not abstract prompts or generic models. It automates the analysis and guidance that once depended on human intuition. This helps organizations act faster, reduce risk, and innovate with confidence,” Link continued.

Skylar Advisor will provide a proactive operating model for IT that prioritizes and guides actions. The tool transforms enterprise data and customer-owned documentation into evidence-backed recommendations that teams can inspect, validate, and trust.

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Advisor is the latest addition to the ScienceLogic AI platform

The Advisor will operate as part of the ScienceLogic AI Platform, functioning as an AI-native partner that understands IT context, explains issues in plain language, and guides teams toward the most effective next steps.

Among the key capabilities of Skylar Advisor are:

  • Advisories: Automatically detect, summarize, and explain the most critical problems buried within event floods to help teams prioritize what matters most and why.
  • Ask Skylar: Receive instant, context-aware answers through a conversational interface grounded in enterprise knowledge, accelerating investigation and execution.
  • Persona Wizard: Adapt tone, depth, and format of guidance based on user role from L1 engineers and SREs to executives, ensuring relevance and clarity.
  • Knowledge Corpus: Unify telemetry with trusted knowledge sources, forming the foundation that powers guidance while maintaining governance and control.
  • Automatic Knowledge Generation: Capture investigation steps and verified fixes to continuously create accurate, reusable knowledge base content.
  • Verifiable Insights: Ensures guidance is evidence-backed, citing the exact data and documents used for traceability and assurance.
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Platform focuses on observability, action, assurance, and insights to drive business outcomes

“As IT environments continue to scale, relying on people to manually connect alerts, tickets, and documentation doesn’t work,” said Michael Nappi, chief product officer at ScienceLogic. 

“Skylar Advisor automates how operational knowledge is captured, interpreted, and applied, helping teams move faster and make better decisions without adding risk,” Nappi continued.

The ScienceLogic AI Platform includes Skyler One for observability, Skylar Automation for action, Skylar Compliance for assurance, and Skylar Analytics for deeper metric insights – with Skylar Advisor joining the platform.

Overall, the platform delivers service-centric observability, AI-driven operations, and intelligent automation for business outcomes.

Cyberhaven recently launched a unified DSPM platform to manage AI-era data risk across cloud, endpoints, SaaS, and on-prem environments. Read more about this solution and how it addresses risk from AI collaboration tools.

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Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

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