ScienceLogic® Expands Enterprise Controls for Agentic AI with Skylar AI™ 2.7

ScienceLogic announced Skylar AI 2.7 at Nexus Live 2026, adding security, governance, and agentic controls to its Skylar Advisor platform, including an agent-routing trace and tool catalog, an upload gatekeeper that inspects documents for exposed secrets, malicious instructions, and hidden-text manipulation, and granular controls that let administrators disable specific agentic functions or Model Context Protocol (MCP) tools without disrupting other approved agents and workflows. CEO and cofounder Dave Link said IT leaders need to know what information AI is using and retain control over what agents can do, and chief product officer Michael Nappi said the release adds safeguards for enterprise knowledge and clearer visibility into how agents work.

ScienceLogic® Expands Enterprise Controls for Agentic AI with Skylar AI™ 2.7 New safeguards and more granular controls help IT teams trace agent routing and tool selection, protect the knowledge used by AI, and independently control agentic functions and MCP tools ScienceLogic https://sciencelogic.com/ , delivering trusted operational intelligence through service-centric observability, AI-driven operations, and intelligent automation, today announced Skylar AI™ 2.7 at Nexus Live 2026 https://nexuslive.sciencelogic.com/ . The release introduces new security, governance, and agentic controls that give IT teams greater oversight of how AI operates across enterprise IT. New capabilities provide visibility into agent routing and tool selection, add safeguards to inspect and quarantine suspicious content before it informs AI-generated guidance, and give administrators granular control over specific agentic functions and Model Context Protocol MCP tools without disrupting other approved agents and workflows. As enterprises give AI agents more authority in IT operations, they need confidence in the knowledge those agents use, visibility into how they operate, and control of what they can do. Skylar AI 2.7 addresses those requirements by helping organizations protect the information that informs AI-generated insights, understand how agents interact with available tools, and set clear boundaries around agent activity. Advances to Skylar Advisor™ https://sciencelogic.com/platform/skylar-advisor give organizations new ways to safeguard enterprise knowledge, improve the relevance of AI-generated recommendations, understand how agents use available tools, and control where and how agentic capabilities operate. Key functionality includes: Greater visibility into agent routing and tool selection: A new agent-routing trace and tool catalog show how Advisor routes a request and which internal or external MCP tools it considers, giving administrators a clearer view into agent routing and tool use. Granular control over agentic and MCP capabilities: Administrators can manage agentic functions and MCP tools independently. New controls allow administrators to disable specific agentic functions or MCP tools while other approved agents and workflows continue operating. A more secure and governed knowledge foundation: A new upload gatekeeper inspects documents for potentially risky content, including exposed secrets, malicious instructions, and hidden-text manipulation, before they are added to the knowledge base. Suspicious documents can be quarantined for subject-matter expert review, while human-in-the-loop review workflows help govern how content is evaluated, approved, and used by AI More relevant advisories shaped by user action: Skylar Advisor allows users to suppress advisory patterns they have determined do not require further attention, helping teams focus on more relevant recommendations. “The conversations at Nexus Live this week reflect a clear shift in the market. AI is rapidly moving from recommendations to action, and that changes what enterprises expect from their platforms,” said Dave Link, chief executive officer and cofounder of ScienceLogic. “IT leaders need to know what information AI is using, see how agents are operating, and retain control over what those agents can do to audit and continually learn from the results. Skylar AI 2.7 gives teams the safeguards and visibility to expand their use of AI across IT operations while maintaining governance, trust and accountability.” “As AI takes on a more active role in IT operations, organizations need stronger safeguards around the knowledge it uses, the tools agents can access, and the actions they can take,” said Michael Nappi, chief product officer at ScienceLogic. “Skylar AI 2.7 gives added safeguards for enterprise knowledge, clearer visibility into how agents work, and more direct control over where and how agentic capabilities are used. Together, these capabilities give organizations a stronger foundation for scaling agentic AI across enterprise IT, including a smart agentic kill switch when warranted.” Posted on 10/06/2026, in Agentic https://radicaldatascience.wpcomstaging.com/category/agentic/ , AI https://radicaldatascience.wpcomstaging.com/category/ai/ , AI Industry Latest News https://radicaldatascience.wpcomstaging.com/category/ai-industry-latest-news/ , News https://radicaldatascience.wpcomstaging.com/category/news/ , Uncategorized https://radicaldatascience.wpcomstaging.com/category/uncategorized/ and tagged agentic AI https://radicaldatascience.wpcomstaging.com/tag/agentic-ai/ , AI https://radicaldatascience.wpcomstaging.com/tag/ai/ , Enterprise https://radicaldatascience.wpcomstaging.com/tag/enterprise/ , ScienceLogic https://radicaldatascience.wpcomstaging.com/tag/sciencelogic/ . 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