Enterprise AI adoption isn’t slowing down — and neither are the risks that come with it. According to the 2025 Cisco Cybersecurity Readiness Index, 86% of organizations experienced an AI-related security incident in the past 12 months, yet fewer than half have the resources to conduct comprehensive AI security assessments.

Cisco AI Defense was built to help close that gap. Today, we’re extending that protection to Google Cloud — joining AWS and Microsoft Azure as the third major cloud platform that Cisco AI Defense supports.

What This Means for Google Cloud Customers

Whether you’re running models on Gemini Enterprise Agent Platform, building agentic workflows, or managing sensitive data as part of a RAG pipeline, AI Defense now delivers enterprise-grade protection inside your Google Cloud environment.

Key capabilities include: 

AI Model & Application Validation — Automated red-teaming across 200+ security and safety subcategories mapped to the Cisco AI Security and Safety Framework along with OWASP, NIST, and MITRE standards

AI Runtime Protection — Bi-directional guardrails enforced inline across agentic workloads, covering threats like prompt injection, tool misuse, and data exfiltration — with no code changes required

AI Cloud Visibility — Automatic discovery of AI assets including models, agents, data sources, and tooling, providing centralized governance

AI Supply Chain Risk Management — Continuous scanning of model files, repositories, and MCP servers to identify vulnerabilities and prevent the use of insecure components

For organizations with strict data requirements, a VPC deployment option keeps all data within your Google Cloud environment — no external routing of prompts, responses, or model interactions.

Built for Agentic AI

As enterprises move from AI experimentation to production-scale agent deployments, runtime security becomes critical. AI Defense integrates directly with Google Cloud’s Agent Gateway via Google Kubernetes Engine (GKE) Service Extensions, operating as an inline policy enforcement engine on agent requests and responses — without touching agent code or model configuration.

For developers, getting started is straightforward. AI Defense is available as an ADK integration, allowing teams to enable runtime protection with just a few lines of code when building on Gemini Enterprise Agent Platform Runtime .

Consistent Security Across Your Multi-Cloud AI Footprint

For enterprises building AI across AWS, Azure, and Google Cloud, AI Defense provides a single, consistent security framework — the same visibility, the same controls, the same governance — regardless of where your AI runs. AI Defense maps to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST Adversarial ML Taxonomy, supporting compliance readiness including the EU AI Act.

Visiting Google Cloud Next 2026 in Las Vegas? Stop by Cisco Booth #4813 to see AI Defense in action. Or contact your Cisco account representative to learn more.