India, June 3: Liferay, a provider of Digital Experience Platforms (DXPs), today 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. Grounded in an organization’s own data and governed by its existing security policies, Liferay AI Hub is designed to give enterprises the speed and flexibility they need to adopt AI at scale without rebuilding the security infrastructure they already have in place.
Enterprise AI initiatives often stall because of the complexity involved in deploying AI responsibly. Building governance from scratch can take months. Ensuring AI stays grounded in the right data, and never surfaces what it shouldn’t, requires infrastructure most organizations are still trying to build. And fragmented adoption across departments creates security gaps and redundant costs that often go unnoticed until it’s too late. Liferay AI Hub was built to solve those challenges.
“The typical enterprise governance foundation includes access controls, data policies, and security infrastructure that have taken years to assemble. Liferay AI Hub lets organizations apply all of that to AI without starting over,” said Julia Molano, Director of Product Management at Liferay. “They can connect their preferred AI models, define agents tailored to their business, and deploy them in days, not months.”
Governance by Design
Liferay AI Hub is built on top of Liferay DXP’s existing security and access control framework. Rather than requiring organizations to build a separate governance layer for AI, Liferay AI Hub agents operate on behalf of authenticated DXP users, ensuring they can only access data that user is authorized to see. Every AI interaction is logged in a full audit trail, and sensitive information stays within the 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 also holds ISO/IEC 42001 certification for its AI Management System, validating its commitment to responsible AI governance.
Open Architecture, Any AI Service
Unlike embedded AI solutions tied to a single vendor’s model, Liferay AI Hub is built on an open, model-agnostic architecture. Organizations can connect a wide range of LLMs, including models from providers such as Anthropic, Google and OpenAI. As the AI landscape evolves, organizations can swap 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 any compatible system to be used by agents.
Low-Code Agent Building for the Whole Enterprise
Liferay AI Hub provides a low-code studio designed for technical users, including 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, including content creation. They can be reviewed, configured, and deployed in minutes. For more specialized requirements, teams can define bespoke agents grounded in their own documents, 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 complete human review checkpoints and event-driven triggers coming in later releases. Use cases span marketing content pipelines, supply chain risk monitoring, predictive audience segmentation, automated compliance review, proactive customer service triage, and more.