Secure AI innovation at the speed of AI

According to the 2025 State of AI Security and Governance Report, the top risks cited by enterprises are sensitive data exposure (52%) and regulatory compliance (50%). Other emerging threats include Shadow AI, prompt injection, and model theft. A comprehensive defense requires securing the data, the model, and the user interaction layer simultaneously. Platforms like the Wiz AI-APP enhance this by mapping the relationships between infrastructure, data, and AI models to show where the most critical exposure risks exist.

Shadow AI occurs when employees use unsanctioned models or datasets, bypassing IT governance. To detect it, organizations need automated discovery tools. Google Cloud’s Security Command Center provides a real-time inventory of all AI assets, and this is enhanced by the Wiz AI-APP, which builds a comprehensive AI Bill of Materials (AI-BOM) to give security teams complete visibility to apply consistent security policies.

While skill gaps are a common barrier (cited by 53% of organizations), you don’t need to build everything from scratch. Google Cloud embeds AI security directly into its existing platform. Tools like Security Command Center use AI to summarize threats and recommend fixes, helping your existing security team manage AI risks without needing to be data science experts.

Securing Agentic AI requires treating autonomous agents as high-value identities. Unlike standard users, agents need strict Identity and Access Management (IAM) policies that enforce "least privilege." Google Cloud helps you map agent interaction paths and assign specific agent identities, ensuring they can only access the data required for their specific tasks.

Yes. Google Cloud supports a multi-model security strategy. Whether you are using first-party models like Gemini or third-party open-source models on Gemini Enterprise Agent Platform, you can apply unified runtime guardrails using Model Armor. This protects your stack from prompt injections and data leakage regardless of the underlying model provider.

Model Armor provides a dedicated security layer that filters prompt injections and sensitive data leakage before they reach the model—eliminating the need for custom-coded interceptors. It detects and blocks malicious prompts (like attempts to jailbreak the model) and filters unsafe content before it reaches your applications, protecting both your data and your brand reputation.

Preventing data leakage requires a "defense-in-depth" approach. Google Cloud offers Confidential Computing to encrypt data while it is being processed (in use), along with Data Loss Prevention (DLP) controls that can automatically scan and redact sensitive information (like PII) from model responses before they are shown to users.

For regulated industries, data sovereignty means keeping sensitive data within specific physical and digital boundaries. Google Sovereign Cloud enables you to adopt AI while maintaining full control over data residency and encryption keys (using External Key Manager), ensuring compliance with regional regulations like GDPR or local data laws.

The Secure AI Framework (SAIF) is Google’s blueprint for responsible AI adoption, designed to help organizations integrate security into their AI development lifecycle. It aligns with industry standards to help you assess risks, automate controls, and build a culture of security that scales as fast as your AI innovation.

Security focuses on technical defenses (like firewalls and encryption), while Governance focuses on policy, accountability, and risk management. As highlighted in our AI Innovation Without Interruption guide, successful AI adoption requires both: robust security tools to enforce controls, and a governance framework to define who is responsible for AI decisions and data usage.

Wiz AI-APP introduces a revolutionary way to secure the entire AI application stack. It provides: 1) Total visibility into every AI component, 2) Cross-layer risk analysis that maps real attack paths, and 3) Real-time threat detection that monitors AI behavior from the prompt to the cloud.

Wiz AI-APP acts as a powerful, context-aware engine for Security Command Center. It identifies and prioritizes real, exploitable risks within your AI applications and feeds these context-rich findings directly into your single pane of glass, allowing your teams to bypass alert noise and focus on critical threats.

As a valued customer, you are in the best position to take advantage of the next evolution of cloud security. The acquisition accelerates the integration between Wiz and Google Cloud, and you now have access to the pioneering capabilities of the AI-APP to secure your AI-native applications.

It's specifically curated for CISOs, VPs of Security, and other business and technology leaders who need a strategic overview of the threat landscape, translated into actionable, executive-level insights.

M-Trends provides an "over-the-horizon" view based on real-world incident response data. By understanding how attackers are operating right now, you can proactively adjust your security strategy, prioritize investments, and train your teams to defend against the most relevant and current threats.