Gemini Enterprise Agent Platform enhances agent capabilities and security
Google Cloud has expanded Gemini Enterprise Agent Platform with new features for agent runtime, memory, security, and observability. These updates aim to help businesses build, secure, and scale AI agents more effectively by enabling longer-running tasks, structured context retention, enhanced identity management, and centralized governance. The enhancements are now generally available to all users, offering improved automation and security for enterprise AI deployments.
- →Agent Memory Bank for enhanced personalization
- →Agent Runtime for continuous, long-running tasks
- →Agent Identity for secure, auditable agent permissions
- →Agent Gateway for centralized control and security
- →Agent Registry for organized agent management
Features (6) ›
- Agent Memory Bank for enhanced personalization
Agent Memory Bank allows for low-latency agent personalization by defining structured schemas to extract and maintain critical conversation context. This feature ensures agents retain user preferences, past decisions, and account history across long-running tasks, improving efficiency and user experience.
- Agent Runtime for continuous, long-running tasks
Agent Runtime enables automation of complex, multi-day agents and reasoning tasks by allowing agents to run continuously for up to 7 days. This facilitates delegation of asynchronous processes, such as sales sequences or multi-stage onboarding, without constant human intervention.
- Agent Identity for secure, auditable agent permissions
Agent Identity is a new native IAM type built on open standards that enforces least-privilege access to agent permissions. It mitigates token theft, provides non-repudiable auditing of agent actions, and automates identity lifecycle management.
- Agent Gateway for centralized control and security
Agent Gateway provides a central control point for securing and governing interactions across an agent ecosystem. It allows for granular access controls via IAM conditions and natural language rules, with integrated protection against prompt injection and data leakage.
- Agent Registry for organized agent management
Agent Registry serves as a single library for all AI agents, servers, and connections within an organization. This facilitates easy discovery and reuse of agents, improving system organization and enabling administrators to monitor agent sprawl.
- Agent evaluation and observability for performance monitoring
The platform now includes continuous monitoring and evaluation of agent performance in production using online monitors that detect degradation and behavioral drift. It also offers comprehensive tracing and real-time dashboards for deep visibility into agent reasoning and execution.
https://cloud.google.com/blog/products/ai-machine-learning/whats-new-in-gemini-enterprise-agent-platform/
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