What is AI Protection?
AI Protection is a security capability within Google Cloud Security Command Center. It provides a comprehensive view of AI security across the entire Google Cloud environment and is activated at the organization level. Instead of managing AI risks in separate tools, AI Protection brings asset discovery, risk assessment, and threat detection for AI workloads into one platform.
The problem AI Protection addresses: as organizations adopt generative AI, they accumulate distributed and often unknown models, endpoints, datasets, and agents that classic cloud security tools do not capture. AI Protection creates visibility, surfaces shadow AI, and makes AI-specific attack paths transparent. As part of the Premium and Enterprise tiers, AI Protection is not a separate SKU but an extension of the existing Security Command Center.
Core Features
- AI asset discovery: Inventories AI assets across the organization, including models (foundation, fine-tuned, custom), data sources, endpoints, and notebooks. Agents and MCP servers are in Preview. Shadow AI resources are detected.
- Risk management: Scores AI-specific risks via attack-path simulation and virtual red-teaming. Predefined security graph rules flag agentic risks such as over-privileged agents (Preview) and misconfigurations. Cloud controls are deployed in detective mode.
- Threat detection: Event Threat Detection monitors anomalous service-account activity, sensitive permission changes, and agentic identity abuse. Agent Platform Threat Detection (Preview) provides runtime monitoring for deployments on Agent Runtime.
- Integrations: Works with Model Armor (screens prompts, responses, and agent interactions for prompt injection, data leakage, and harmful content) and Sensitive Data Protection (identifies sensitive data in Vertex AI datasets).
Common Use Cases
AI asset inventory and shadow AI detection: A company with multiple Google Cloud projects gains visibility into every model, endpoint, and dataset in use. AI Protection surfaces unauthorized AI resources before they become a security risk.
Risk assessment via attack-path simulation: A security team identifies how an attacker could reach AI assets through over-privileged agents or misconfigured endpoints. Attack-path simulation prioritizes the risks with the highest potential impact.
Threat detection on AI and agent workloads: An operator of Vertex AI workloads and agents monitors service-account anomalies, permission changes, and credential abuse in real time. Agent Platform Threat Detection adds runtime monitoring for agents on Agent Runtime.
Benefits
- Unified AI security inside the existing Security Command Center, with no separate tool required
- Visibility into distributed and unknown AI assets, including shadow AI
- Prioritization of AI risks through attack-path simulation instead of isolated single findings
Integration with innFactory
As a certified Google Cloud Partner, innFactory supports you with the adoption and operation of this service.
Typical Use Cases
Frequently Asked Questions
What is AI Protection?
AI Protection is a capability within Google Cloud Security Command Center that secures AI workloads across the entire organization. It builds an inventory of AI assets, scores AI-specific risks via attack-path simulation, and detects threats against models, endpoints, and agents. AI Protection is not a separate SKU but is included in the Premium and Enterprise tiers.
When should I use AI Protection?
AI Protection fits when you run models, Vertex AI endpoints, datasets, notebooks, or agents on Google Cloud and need visibility into their security posture. Common triggers are shadow AI spread across multiple projects, over-privileged agents, and compliance requirements that demand continuous posture and threat management for AI.
How much does AI Protection cost?
AI Protection is not billed separately. It is included in the Security Command Center Premium and Enterprise tiers and is activated at the organization level, so cost follows the chosen SCC tier. The Enterprise tier will sunset on May 21, 2027, with automatic migration to Premium.
Which AI assets does AI Protection discover and what is in Preview?
AI Protection inventories models (foundation, fine-tuned, custom), data sources, endpoints, and notebooks. Agents, Model Context Protocol (MCP) servers (requires the App Hub API enabled), over-privileged agent detection, and Agent Platform Threat Detection are in Preview. Shadow AI resources are detected but not shown in the console UI.
