GMV drives the evolution of smart, automated SOCs at Splunk Go! Madrid

GMV participated in Splunk Go! Madrid, a leading event in the fields of cybersecurity, observability, and artificial intelligence, where experts from Splunk and its partners discussed how to help organizations become more resilient, reliable, and prepared to face an increasingly complex and dynamic digital environment.

GMV’s expert at the event, Ricardo Hernández Pérez, participated in the round-table conversation on managed SOCs together with Splunk partners, a discussing the evolution of managed cybersecurity services and the role of automation and advanced observability in improving incident detection and response capabilities.

GMV shared how observability and advanced analytics technologies, integrated within its ecosystem of MSP and SOC services, help optimize operational efficiency, accelerate event correlation and analysis, and improve the ability to respond to increasingly sophisticated threats. The company also highlighted its vision of automation as a comprehensive end-to-end process that begins with client onboarding and spans the entire operational cycle from detection and analysis to response and continuous improvement. This approach facilitates the shift towards more agile, scalable, and intelligent cybersecurity operations.

To make this possible, GMV is banking on an ecosystem of leading technological partners in observability, automation, and cybersecurity capabilities, combining different technologies according to each organization’s operational and resilience needs. This approach paves the way for the development of more robust, flexible, and advanced SOC services, helping clients strengthen their cyber resilience and adapt to a constantly evolving threat landscape.

The discussion also addressed what the SOCs of the future will be like, imagining increasingly automated, collaborative, and AI-assisted environments where digital players will be able to interact with each other and support analysts in making decisions faster, more accurately, and more efficiently. In this model, the combination of automation, advanced analytics, and human oversight will be key to taking on new cybersecurity challenges.