What's new in Gemini Enterprise Agent Platform

That's why today, we are announcing some of our most popular capabilities are available for everyone, from Agent Runtime to Agent Identity. We also recently just announced CodeMender , our new managed code security agent to help you advance from passive scanning to automated code remediation, and reduce zero-day risk. Automate your long-running agents faster and with better memory Think about your long-running agentic workflows.

Maybe it's managing a sales prospecting sequence, continuously monitoring vendor supply chains for compliance risks, or orchestrating IT incident response and root-cause patching across your infrastructure. If you want to move past a basic chat function, you'll need the stamina to execute multi-step agents over time, and the contextual memory to keep the experience personal and relevant. To help you get there, we're bringing these capabilities to everyone: Agent Memory Bank: Enable low-latency agent personalization by defining structured schemas that automatically extract and maintain critical conversation context for maximum efficiency.

This ensures your agents retain key user preferences, past decisions, and account history across long-running tasks, allowing them to pick up right where they left off without losing context or slowing down response times. Agent Runtime: Automate complex, multi-day agents and reasoning tasks with agents capable of running continuously for up to 7 days. This means you can delegate entire asynchronous processes, like executing a week-long sales sequence or orchestrating a multi-stage onboarding process - letting agents make decisions in the background without requiring constant human intervention or lost context.

Scale AI agents with Gemini Enterprise Agent Platform Secure, audit, and centralize your agent operations Once you run an agent with a solid memory and dependable runtime, you have to make sure it's safe and secure. Especially for enterprise work, security must be embedded across all your work, no matter the workflow or human behind it. To help your team work safely, we're making three features available to help you secure, audit, and centralize your agents.

Agent Identity: A new native IAM type built on open standards that enforces a least-privilege approach to agent permissions. It mitigates token theft by binding access directly to the agent runtime, provides non-repudiable auditing of all agent actions, and automatically manages the identity lifecycle to eliminate dormant credentials. Agent Gateway: This gives you a central control point where you can secure and govern all interactions across your agent ecosystem.

From this point, you can enforce granular access controls through IAM conditions and natural language rules, while integrated inline protection with Model Armor safeguards against prompt injection, tool poisoning, and data leakage. Agent Registry: We want to give power to every individual to build agents, and we need a single glass pane view of all agents built across the organization. It serves as a single library for all the AI agents, servers, and connections across your organization.