Kaseya has announced what it describes as an “agentic” IT management platform, positioning it as a shift from AI tools that generate recommendations to systems designed to take actions across IT operations, cybersecurity and backup.
The company said the platform, powered by “Kaseya Intelligence”, is designed to help managed service providers (MSPs) and internal IT teams reduce manual work by handling tasks such as ticket triage, threat containment and backup verification within a single system.
The announcement included three releases: Ticket Triage, a Unified Cyber Resilience Portal, and the general availability of Kaseya SIEM.
Ticket Triage is designed to automatically categorise and route support tickets. Kaseya said the Ticket Triage “Digital Specialist” is generally available for Autotask Ultimate customers, with additional digital specialists planned for IT operations, cybersecurity and cyber resilience.
In the cyber resilience update, Kaseya said its Unified Cyber Resilience Portal brings together on-premises, SaaS, endpoint and cloud backup in one portal for recovery, monitoring and compliance. The company also said Azure Files support is now generally available and that agentless Hyper-V backup is planned for June 2026.
Kaseya SIEM is now generally available, according to the company, and is intended to unify telemetry across endpoint, network, cloud, identity and email. Kaseya said the product supports correlation from more than 60 data sources, includes 400-day log retention, and can be paired with an optional 24/7 security operations service for organisations that do not want to run a SOC in-house.
Kaseya chief executive officer Rania Succar said the company believes MSPs and IT teams need tools that can “act autonomously” across systems rather than add-on AI features in disconnected products.
As vendors increasingly add AI capabilities to IT management and security tooling, the company’s move reflects a broader industry push to reduce tool sprawl and consolidate workflows. For MSPs and lean IT teams, the key question will be how effectively such platforms can automate operational tasks without increasing risk through misclassification, incorrect remediation actions, or loss of oversight—areas where independent validation and real-world deployment experience will be closely watched.
