Glean enables enterprises to build AI agents with guardrails
Glean is democratizing enterprise AI by enabling non-technical employees to build production-ready AI agents with built-in guardrails and integrations.
While AI project failures dominate headlines, enterprises are finding success by focusing AI on specific areas like knowledge access. Glean Technologies Inc. has emerged as a key player in democratizing AI across enterprises, embedding intelligent tools into daily workflows.
The Reality of Enterprise AI Agents
Founder and CEO Arvind Jain shared insights with theCUBE at the AI Factories - Data Centers of the Future event:
- The past year saw unrealistic expectations about AI agents automating business processes overnight
- Successful deployment requires guardrails, monitoring and secure enterprise integration
- Glean's platform enables non-technical users to build agents while ensuring quality and compliance
Glean's Differentiators
- Enterprise Graph: Acts as a "neural network" connecting agents to data and context
- Premade Integrations: Hundreds of connections to common enterprise systems
- Action Library: Enables agents to perform thousands of enterprise tasks
According to Jain, the platform aims to "democratize access to agent building" while providing the infrastructure to prevent AI agents from "going wild in the enterprise."
"You could be a business owner, not a technologist, not an AI scientist, but you can still actually build something really cool with AI through our agent builders," Jain stated.
Watch the Full Interview
The complete discussion can be viewed on YouTube as part of SiliconANGLE's coverage of the event.
Photo: SiliconANGLE
Related News
Self-learning AI Agents Transform Enterprise Operations
AI agents trained on their own experiences are revolutionizing operational workflows with emerging practical applications.
Okta Unveils Identity Security Fabric to Protect AI Agents
Okta's new Identity Security Fabric integrates lifecycle management, cross-app access, and verifiable credentials to secure AI agents and reduce enterprise attack surfaces.
About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.