Google’s cloud division is following in the footsteps of Microsoft with the launch of Security AI Workbench that leverages generative AI models to gain better visibility into the threat landscape.
Users, like with Microsoft’s GPT-4-based Security Copilot, can “Conversationally search, analyze, and investigate security data” with an aim to reduce mean time-to-respond as well as quickly determine the full scope of events.
Another key offering is Security Command Center AI, which utilizes Sec-PaLM to provide operators with “Near-instant analysis of findings and possible attack paths” as well as impacted assets and recommended mitigations.
“Because Security AI Workbench is built on Google Cloud’s Vertex AI infrastructure, customers control their data with enterprise-grade capabilities such as data isolation, data protection, sovereignty, and compliance support,” Google Cloud’s Sunil Potti said.
The development comes days after Google announced the creation of a new unit called Google DeepMind that brings together its AI research groups from DeepMind and the Brain team from Google Research to “Build more capable systems more safely and responsibly.”
News of Google’s Security AI Workbench also follows GitLab’s plans to integrate AI into its platform to help developers from leaking access tokens and avoid false positives during security testing.
