We're excited to announce a Vertex AI integration is now available in the Google SecOps Marketplace! ✨
Combine the power of Google’s AI Platform, Vertex AI and models, to rapidly create custom response actions and meet enrichment needs. Gain deeper insights from your data and boost your team's efficiency and effectiveness, whether you're using Gemini in SecOps, built-in features, or creating custom solutions with Vertex AI.
Here are the use cases you can address with this Vertex AI integration:
- Execute a Playbook Prompt (Generally Available): The sky's the limit! Use custom prompts to automate case management activities, summarize action responses, build curated emails and ITSM tickets with context from alerts, and streamline your workflows.
- Analyze EML (Preview): Automatically analyze suspicious emails for malicious behavior with an out-of-the-box (OOTB) widget. Generative AI provides an email threat level rating, recommended next steps, and a clear explanation of the identified threat.
- Transform Data (Preview): Streamline your playbook creation process! Before diving into complex JSON, ensure your data is consistent and organized. Leverage generative AI to transform raw data into the precise format needed for playbook development. This pre-processing step eliminates inconsistencies and ensures a smooth, bug-free execution when generating your playbook. Simply provide the raw JSON data, and let generative AI handle the heavy lifting of structuring it correctly.
- Describe an Entity (Preview): Create a unified summary of IOCs and assets within your case based on all of the 3rd party enrichments available in your environment, including insights from threat intelligence feeds, EDRs, and more. This goes beyond typical case summaries by synthesizing massive amounts of extended metadata associated with SOAR entities. By distilling this information into a digestible format, you can readily leverage it within automated playbooks for faster and more effective incident response.
For a detailed walkthrough of the Vertex AI integration, please refer to our comprehensive documentation here.