Elastic announced support for Google Cloud’s Vertex AI platform and Gemini models in Elastic Attack Discovery and AI Assistant for Security.

Security analysts now have additional choices for large language models (LLMs) to automate key triage steps, contextualize and guide investigation, streamline response, create and convert detection rules, generate queries for threat hunting and more.

“Our latest integration with Google Cloud’s Gemini 1.5 model via the Vertex AI platform continues our focus on making it easier to streamline security operations workflows,” said Santosh Krishnan, general manager of Security at Elastic. “The cooperation with Google Cloud’s Vertex AI and Elastic’s extensive suite of AI tools greatly improves the ability to analyze and comprehend threats.”

“By leveraging Google Cloud’s Gemini 1.5 model via the Vertex AI platform, and the up-to-2M token window, Elastic's Attack Discovery and Elastic AI Assistant features can now provide users with a level of contextual understanding previously unimaginable and provide immense value,” said Juan Bustos, lead solutions consultant at Google Cloud. “This integration will empower security professionals to cut through the noise and focus on their primary task: assessing threats.”

Elastic Security Labs actively develops and refines detection rules optimized for Vertex AI, and other leading technologies, ensuring Elastic Security solutions stay ahead in the industry.

Support for Google Cloud’s Gemini 1.5 model via Vertex AI is available today.