What is Vega Security's new approach to cybersecurity?

Vega Security implements security directly where data resides in cloud services and data lakes, rather than requiring centralized storage.

How much funding did Vega Security raise in its Series B round?

Vega Security raised $120 million in its Series B funding round.

What are the benefits of Vega Security's model compared to Splunk?

Vega's model is more cost-effective, simpler to adopt, and runs security where data lives, addressing challenges in cloud environments unlike legacy SIEMs.

Home / Technology / AI Startup Vega Disrupts Splunk with New Security Model

AI Startup Vega Disrupts Splunk with New Security Model

10 Feb

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Summary

Vega Security raises $120M Series B to change data security.
New AI approach runs security where data already lives.
Funding aims to expand global reach and AI operations suite.

AI Startup Vega Disrupts Splunk with New Security Model

Vega Security, a two-year-old AI cybersecurity firm, has raised $120 million in a Series B funding round, boosting its valuation to $700 million. The company aims to revolutionize security operations by implementing solutions where data already exists, such as cloud services and data lakes, moving away from the traditional centralized model favored by legacy tools like Splunk.

This new funding will enable Vega to enhance its AI-native security operations suite, expand its go-to-market team, and pursue global growth. CEO Shay Sandler highlighted that the conventional SIEM model is not only expensive but also increasingly ineffective in complex cloud environments. Vega's strategy offers a more cost-effective and simpler adoption process for large enterprises.

The company has already secured multi-million-dollar contracts with prominent financial, healthcare, and Fortune 500 organizations, including Instacart. Vega's plug-and-play approach allows immediate value realization, bypassing the lengthy data migration processes often required by established solutions.

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