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Google Cloud Introduces Security AI Workbench for Faster Threat Detection and Analysis


April 25, 2023Ravie LakshmananArtificial Intelligence / Threat Detection

Threat Detection and Analysis

Google’s cloud division follows in Microsoft’s footsteps by launching AI Security Workbench which leverages generative AI models to gain greater visibility into the threat landscape.

Powering cybersecurity suites is Sec-PaLM, a dedicated large language model (LLM) which is “tailored for security use cases”.

The idea is to leverage the latest advances in AI to enhance point-in-time incident analysis, threat detection, and analytics to fight and prevent new infections by bringing intelligence that reliable, relevant, and actionable.

To that end, Security AI Workbench includes a variety of new AI-powered tools, incl VirusTotal Code Insights And Mandiant Breach Analytics for Chronicleto analyze potentially harmful scripts and warn customers about active violations in their environment.

Users, such as with Microsoft’s GPT-4-based Security Copilot, can “conversationally search, analyze, and probe security data” with the goal of reducing the average time to respond and quickly determine the full scope of events.

Threat Detection and Analysis

On the other hand, the Code Insight feature in VirusTotal is designed for produce natural language summaries code snippets to detect and mitigate potential threats. It can also be used to flag false negatives and remove false positives.

Another major offering is AI Security Command Centerwhich uses Sec-PaLM to provide operators with “near-real-time analysis of findings and possible attack paths” as well as affected assets and recommended mitigations.


Google also leverages machine learning models to detect and respond API abuse and business logic attackswhere adversaries weaponize legitimate functionality to achieve nefarious ends without triggering security alerts.


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“Because Security AI Workbench is built on top of Google Cloud’s Vertex AI infrastructure, customers control their data with enterprise-grade capabilities such as data isolation, data protection, sovereignty, and compliance support,” said Sunil Potti of Google Cloud.

The development comes days after Google announced the creation of a new unit called Google DeepMind which brings together the AI ​​research group from DeepMind and the Brain team from Google Research to “build more capable system safer and more responsible.”

News about Google’s Security AI Workbench also follows GitLab plan to Integrated AI into its platform to help developers avoid leaking access tokens and avoid false positives during security testing.

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