Cisco Systems Announces Intent to Acquire Galileo Technologies to Bolster Real Time AI Agent Observability

Cisco announces intent to buy Galileo Technologies, adding real time observability and safety guardrails to the Splunk AI portfolio by late fiscal 2026.

By: AXL Media

Published: Apr 10, 2026, 5:25 AM EDT

Source: Information for this report was sourced from Cisco Blogs

The Strategic Push Toward Agentic AI Trust

Cisco Systems has officially declared its intention to acquire Galileo Technologies, Inc., a move designed to secure a foundational role in the emerging agentic workforce. As organizations increasingly deploy autonomous AI agents for software development and customer support, the need for verifiable accuracy has become a primary hurdle for enterprise adoption. Kamal Hathi, Senior Vice President and GM of Splunk, noted that these AI coworkers are transforming core business processes, but their ultimate value depends entirely on the transparency and quality of their outputs.

Integrating Galileo into the Splunk Ecosystem

The acquisition is set to significantly enhance the Splunk Observability Cloud by introducing specialized capabilities for the full Agent Development Lifecycle. Galileo provides a dedicated platform that allows engineering teams to evaluate model quality and detect potential failures before they reach end users. By folding Galileo into its existing deep bench of engineering talent, Cisco intends to set a new industry standard for monitoring multi agent systems, moving beyond basic technical metrics like latency to focus on the nuanced behavior of generative models.

Combating Hallucinations and Algorithmic Bias

One of the most consequential problems in modern AI development is the tendency for applications to produce inaccurate or harmful results. The Galileo platform was purpose built to provide real time guardrails that mitigate business risks associated with hallucinations and bias. By instrumenting every stage of development, from initial prompt optimization to production monitoring, enterprises can enforce rigorous safety standards. This level of visibility is intended to restore customer trust and ensure that AI deployments do not inadvertently damage a brand's reputation through low quality interactions.