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Unveiling Glean Agents: Revolutionizing AI in the Workplace
Glean, a leading work AI platform, has recently announced the expansion of Glean Agents—a groundbreaking open, horizontal environment designed for building, deploying, orchestrating, and governing AI agents within various workplaces. This development underscores a pivotal step toward making AI accessible and actionable for businesses, allowing employees to harness the full potential of AI technologies to drive productivity.
The Vision Behind Glean Agents
At the helm of Glean is Arvind Jain, Founder and CEO, who envisions a workplace where “AI agents should be in the hands of every employee, driving outcomes across the entire enterprise.” The launch of Glean Agents aims to turn this vision into reality by providing an open and interoperable platform. It integrates seamlessly across different systems while supporting leading language models (LLMs). This initiative is not just about experimentation; it aims to drive real operational change across departmental workflows with a focus on visibility, control, and trust.
What’s New in Glean’s Agent Environment
With Glean Agents, enterprises gain unprecedented control over the AI models they utilize, facilitating experimentation and adaptation without being bound to any one vendor or model. Here are some notable features of the Glean Agents environment:
- Democratized Access to Agents: Glean’s natural language agent builder allows employees to create agents by simply describing their desired outcomes in plain language. This democratisation of AI empowers everyone in the organisation to contribute, fostering a culture of collaboration and efficiency.
- Model Customization for Optimal Performance: Users can select the best model for every agent task, optimizing quality, speed, and cost through per-step model selection and temperature control.
- Access to a Wide Model Ecosystem: Glean’s new model hub enables agents to access diverse models from platforms like Amazon Bedrock, Google Vertex AI, and Azure OpenAI, using a universal model key to streamline access to over 15 top commercial and open-source models.
- Interoperability at Scale: The newly introduced MCP Server allows agents to operate across any platform, securely coordinating with Glean Search and Assistant while accessing indexed data within Glean itself.
- Code-Based Building: The Glean Agents API provides a foundational building block for developers to create and manage agents using code, ensuring open lines of communication between agents.
- Performance Evaluation and Optimization: Built-in evaluation frameworks and observability tools give creators a transparent view into agent behavior, allowing for prompt diagnostics and iterative improvements to enhance performance.
Instant Solutions with Pre-built AI Agents
To facilitate swift adoption, Glean offers a library of prebuilt starter agents tailored for various business needs. The agent library boasts a wealth of features:
- With over 30 prebuilt agents covering sales, engineering, IT, and HR functions, businesses can deploy them for tasks like prospecting, ticket resolution, code review, and help desk automation—effectively reducing deployment time and accelerating productiveness.
- New personal agents assist employees with routine tasks such as meeting preparations, summarizing action items, and conducting performance reviews. These personal agents utilize each user’s unique knowledge graph to deliver contextual assistance.
- Deep research agents provide thorough, citation-backed responses to complex questions. They synthesize company and global knowledge, allowing employees to delve into intricate insights tailored to their specific needs.
Ensuring AI Security in the Workplace
As organizations embrace the power of AI, ensuring responsible deployment is paramount. Glean takes significant strides to secure its platform and empower organizations to scale AI safely. Here’s how:
- Built-in Safeguards: Glean protects against AI-specific threats with features designed to thwart prompt injection and jailbreak attempts, ensuring secure behavior across all environments.
- Sensitive Data Management: Employing advanced AI security models, Glean equips users with dashboards that automatically detect and manage overshared sensitive data across more than 100 systems, providing clearer insights into data exposure risks.
- Granular Access Control: Administrators benefit from a sophisticated permissions infrastructure that allows for highly customized control over who can run, view, or edit agents—aligning AI usage with organizational policies and ensuring limits on access to sensitive functionalities.
In a landscape where AI is evolving swiftly, Glean stands out by providing a robust, secure, and user-friendly platform to empower organizations to harness the transformative potential of AI-driven agents, ensuring they not only keep pace with innovation but also drive tangible business outcomes.
Recently, Microsoft unveiled 11 new Security Copilot AI agents for cybersecurity tasks, designed to alleviate burdens on cyber teams. For a deeper dive into how these agents meet security demands in AI, check this out: how these agents were created to meet the demand of secure AI.