New independent SaaS solution enables organizations to build, deploy, and manage AI agents at scale
Liferay, a leading provider of digital experience platforms (DXPs), announced the launch of Liferay AI Hub, a standalone SaaS product that enables enterprise organizations to build, deploy, and manage AI agents through a low-code environment. Liferay AI Hub is built on an organization’s own data, governed by existing security policies, and designed to give enterprises the speed and flexibility they need to deploy AI at scale without rebuilding the security infrastructure they already have in place.
Enterprise AI efforts are often stalled by the complexities involved in implementing AI responsibly. Building governance from scratch can take months. To ensure that AI remains based on the right data and that unnecessary stuff doesn’t surface, it requires an infrastructure that most organizations are still trying to build. Additionally, fragmented deployments across departments create security gaps and extra costs that often go unnoticed until it’s too late. Liferay AI Hub was built to solve these challenges.
“The foundations of a typical enterprise governance include access controls, data policies, and security infrastructure that took years to assemble. With Liferay AI Hub, organizations can apply all of that to AI without having to reinvent the wheel,” said Julia Molano, director of product management at Liferay. “They can connect their favorite AI models, define agents tailored to their business, and deploy them in days instead of months.”
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Governance by design
Liferay AI Hub is built on Liferay DXP’s existing security and access control framework. Rather than requiring organizations to build a separate governance layer for AI, the Liferay AI Hub agent acts on behalf of authenticated DXP users, ensuring users only access the data they are authorized to see. All AI interactions are recorded in a complete audit trail, and sensitive information remains within your organization’s environment. The platform is designed to support enterprise compliance needs, including GDPR data locality, HIPAA access controls, and SOC 2 audit readiness. Liferay has also achieved ISO/IEC 42001 certification for its AI management system, demonstrating its commitment to responsible AI governance.
Open architecture, any AI service
Unlike embedded AI solutions that are tied to a single vendor’s model, Liferay AI Hub is built on an open, model-agnostic architecture. Organizations can connect to a wide range of LLMs, including models from providers such as Anthrophic, Google, and OpenAI. As the AI environment evolves, organizations can replace or add models without rebuilding agents or disrupting existing workflows, protecting their technology investments over time. Through the Model Context Protocol (MCP), customers can access data from compatible systems used by agents.
Build low-code agents for the entire enterprise
Liferay AI Hub provides a low-code studio designed for technical users with existing IT resources who need to configure, deploy, and manage AI agents without the overhead of custom development. Pre-built agent templates cover common use cases such as content creation. You can review, configure, and deploy them in minutes. For more specific requirements, teams can define bespoke agents based on their own documentation, product catalogs, knowledge bases and systems of record.
Liferay AI Hub also supports multi-agent orchestration, allowing organizations to chain specialized agents into end-to-end business workflows, with full human review checkpoints and event-driven triggers coming in future releases. Use cases range from marketing content pipelines, supply chain risk monitoring, predictive audience segmentation, automated compliance reviews, proactive customer service triage, and more.
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