Our previous post established the challenges blocking fast, secure AI adoption. These challenges are managing sensitive data, ensuring model integrity and solving the 'black box' governance problem in your Vertex AI environments.
Solving these complex issues requires a shift from siloed cloud security tools to a unified, intelligent security architecture.
Here are the two key accelerators that provide comprehensive, end-to-end security for your AI investments on Google Cloud:
Pillar 1: Proactive risk reduction with Wiz
Wiz provides the secure foundation. It operates with an agentless approach, giving your security team instant, complete visibility across your entire Google Cloud estate, with a focus on your high-value Vertex AI assets. Wiz helps you start secure by prioritizing and remediating risks.
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Wiz's Core Contribution |
How it Secures Vertex AI |
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Comprehensive Asset Visibility |
Automatically discovers all Vertex AI instances, Notebooks, Endpoints, Model Registries, and the associated compute (GKE/GCE). |
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Data-Centric Risk Mapping |
Identifies GCS buckets or BigQuery datasets storing sensitive training data and maps their access to the corresponding AI services. This pinpoints excessive permissions and data leakage paths. |
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MLOps Supply Chain Security |
Scans container images used for custom model training and serving for vulnerabilities (CVEs), ensuring the software powering your AI is safe. |
By providing a deep, contextual understanding of your cloud estate, Wiz enables you to quickly zero in on the most critical risks specific to your AI infrastructure, minimizing your attack surface.
Pillar 2: Real-time threat detection with Google SecOps
While Wiz locks down your environment, Google SecOps (powered by Chronicle Security Operations and Mandiant) provides the continuous monitoring and intelligence needed to detect threats that bypass defences. Google SecOps helps you stay secure by providing rapid, unified investigation capabilities.
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Google SecOps' Core Contribution |
How it Secures Vertex AI |
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Unified Detection & Investigation |
Ingests all security telemetry from Google Cloud (IAM, network flow logs, BigQuery and Vertex AI API logs) at scale. It centralizes all security alerts from Vertex AI components. |
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AI Workload Threat Hunting |
Detects anomalous behaviour like unusual API calls, unauthorized access to training data by a service account or suspicious network connections initiated by a Notebook instance. |
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Mandiant Threat Intelligence |
Injects frontline threat intelligence to enrich alerts, enabling security teams to rapidly understand if an incident is part of a sophisticated attack targeting AI systems or supply chains. |
Google SecOps ensures that if a threat actor does gain a foothold, the security team can detect, investigate, and respond with unparalleled speed.
The path to synergy
To successfully accelerate AI adoption, you need the proactive prevention of Wiz combined with the real-time response of Google SecOps. The two tools create a security loop that covers the entire AI lifecycle.
In our final post, we will visualize this powerful synergy and map exactly how Wiz and Google SecOps work together, step-by-step, to secure your AI from development to deployment, translating security into genuine business confidence.