Enables AI agents to scan, redact, and govern sensitive data before sending it to external tools through DLP, secure chat, and shadow AI discovery tools.
Enables AI agents to connect and interact with common business platforms like Shopify, WordPress, and Calendly via pre-built connectors for tasks such as product management, content operations, and scheduling.
Enables secure enterprise AI agents to access internal tools like GitHub, Gmail, Calendar, file systems, databases, and knowledge bases through the Model Context Protocol, with built-in security, audit, and observability.
Exposes internal employee directories and project management systems to AI models through standardized tools and resources. It enables AI assistants to search for team members, query project statuses, and explore organizational hierarchies with secure role-based access control.
Enables AI agents to interact with Jira Cloud and Confluence through natural language, performing JQL searches, issue management, and Confluence page creation.