New Delhi: Cisco has introduced a range of new artificial intelligence (AI) solutions designed to unify enterprise data systems, strengthen cybersecurity operations, and enhance observability across digital environments. The announcement reflects the company’s growing focus on “agentic AI” — systems capable of independently analysing data, learning from outcomes, and acting on insights.
A key update includes the Splunk Federated Search for Snowflake, enabling users to query Snowflake data directly within the Splunk interface. The integration allows organisations to combine operational and business data without duplicating datasets, improving visibility and reducing data silos. Cisco executives said the move supports more efficient and open data ecosystems for enterprises managing complex IT infrastructure.
Cisco also unveiled its Data Fabric architecture, designed to manage machine data from across cloud, edge, and on-premise systems. The framework supports real-time querying across data lakes such as Amazon S3 and Snowflake, and includes the Splunk Machine Data Lake, an AI-ready repository for analytics and model training. A collaborative tool, the Cisco AI Canvas, will enable teams and AI agents to work together on data-driven tasks.
In observability, Cisco introduced AI Troubleshooting Agents within Splunk Observability, capable of automatically diagnosing and resolving incidents. The company also expanded its security portfolio with AI-driven updates to Splunk Enterprise Security, featuring automated agents for triage, malware reversal, and rule generation.
With these developments, Cisco aims to position itself as a key infrastructure provider for enterprises transitioning toward intelligent, autonomous operations.
