Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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BAND creates robust interaction frameworks designed for enterprise-level applications of distributed AI agents. The platform facilitates immediate, collaborative interactions among both agents and humans, incorporating a runtime control plane that upholds policies, defines authority limits, and ensures transparency across diverse systems.
Additionally, BAND empowers developers, engineering teams, and leaders of enterprise platforms who are managing multi-agent ecosystems spanning internal infrastructures, SaaS solutions, and environments shared with partners. This support enhances operational efficiency and fosters innovation within complex organizational structures.
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Defakto
Defakto Security offers a robust platform that authenticates every automated interaction by providing temporary, verifiable identities to non-human entities like services, pipelines, AI agents, and machines, thereby removing the need for static credentials, API keys, and enduring privileges. Their comprehensive non-human identity and access management solution facilitates the identification of unmanaged identities across diverse environments such as cloud, on-premises, and hybrid settings, the issuance of dynamic identities in real time based on policy specifications, the enforcement of least-privilege access principles, and the generation of complete audit-ready logs. The solution comprises several modules: Ledger, which ensures ongoing discovery and governance of non-human identities; Mint, which automates the creation of purpose-specific, temporary identities; Ship, which enables secretless CI/CD workflows by eliminating hard-coded credentials; Trim, which optimizes access rights and eliminates excessive privileges for service accounts; and Mind, which safeguards AI agents and large language models using the same identity framework employed for workloads. Each module plays a critical role in enhancing security and streamlining identity management across various operational contexts.
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Maetra
Maetra serves as an AI governance control plane tailored for teams managing tool-utilizing AI agents. It identifies agents and their associated repositories, assesses risks based on established frameworks, and reviews potential actions against versioned governance policies prior to execution. Additionally, it facilitates human approvals, monitors prompts and tool interactions for runtime vulnerabilities, ensures ongoing tasks remain aligned with authorized objectives, and maintains unalterable records of decisions for auditing purposes. The system features several modules, including Govern, Secure, Task Guard, Interaction Guard, Discover, Comply, Audit, and Decision Intelligence, which can function independently or as part of a cohesive control plane, enhancing overall operational efficiency and compliance. Ultimately, this integrated approach ensures robust management and oversight of AI agent activities within organizational frameworks.
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