How Google Cloud is Boosting AI Security for enterprise customers

Artificial intelligence (AI) is transforming every aspect of business, from customer service to product development. However, AI also brings new challenges and risks for security and privacy. How can enterprises leverage the power of AI while ensuring their data and systems are protected?

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Google Cloud has been at the forefront of developing and deploying generative AI, a branch of AI that can create new content such as text, images, or audio. Generative AI can help security teams automate tasks, detect threats, and respond faster. In this blog post, we will explore some of the ways Google Cloud is using generative AI to boost security for enterprise customers.

Security AI Workbench:

A platform for building security solutions with generative AI. One of the key innovations from Google Cloud is Security AI Workbench, a platform that enables customers and partners to build security solutions with generative AI. Security AI Workbench is powered by Sec-PaLM, a specialized large language model (LLM) that harnesses Google and Mandiant’s threat intelligence. Sec-PaLM can generate natural language summaries, explanations, recommendations, and queries based on security data and events.

Security AI Workbench also has an extensible plug-in architecture that allows customers and partners to integrate their own data sources, models, and applications. For example, customers can use Security AI Workbench to build custom threat detection rules, generate security reports, or create chatbots for security operations.

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The Vertex AI infrastructure of Google Cloud, which offers enterprise-grade capabilities like data isolation, data protection, sovereignty, and compliance support, is the foundation upon which Security AI Workbench is built.

Chronicle:

A cloud-native SIEM with generative AI capabilities Another example of how Google Cloud is using generative AI to boost security is Chronicle, a cloud-native security information and event management (SIEM) solution that helps customers detect, investigate, and respond to threats across their cloud and on-premises environments.

Chronicle leverages generative AI to provide customers with natural language search and interaction capabilities.

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Customers can use natural language queries to search their security events and interact conversationally with results, ask follow-up questions, and quickly generate detections. Chronicle also uses generative AI to translate complex attack graphs into plain text explanations of attack exposure, including impacted assets and recommended mitigations.

Chronicle also benefits from Google Cloud’s speed and scale, which enables customers to store and analyze petabytes of security data at a fraction of the cost of traditional SIEMs.

Digital Risk Protection:

A solution for monitoring external threats with generative AI. A third example of how Google Cloud is using generative AI to boost security is Digital Risk Protection (DRP), a solution that helps customers monitor and mitigate external threats such as phishing campaigns, data leaks, or brand impersonation.

DRP uses generative AI to help customers assess and prioritize threat data across proprietary and public sources. DRP can generate natural language summaries, assessments, and prioritization of threat data based on the latest threat intelligence from Mandiant. DRP can also generate natural language alerts and notifications for customers based on their preferences.

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DRP also helps customers reduce their global attack surface by identifying and remediating vulnerabilities in their web applications, cloud services, open-source software, and third-party vendors.

Conclusion:

Generative AI is a powerful technology that can help security teams automate tasks, detect threats, and respond faster. Google Cloud is leading the way in developing and deploying generative AI solutions for enterprise security. Whether it’s Security AI Workbench, Chronicle, or Digital Risk Protection, Google Cloud offers customers a range of options to leverage generative AI for their security needs.