GenAI Chatbot Governance & Control
GenAI chatbots are now used across customer support and internal workflows. But without governance, prompts can leak sensitive data, Shadow bots go unnoticed, and audits lack defensible evidence. LangProtect gives security and AI platform teams real-time visibility and control over chatbot usage across both approved and unmanaged deployments.
Where GenAI chatbots break governance controls
GenAI chatbots don't usually cause immediate security alerts. They create governance gaps when teams need visibility, enforcement, and proof.
Invisible chatbot usage
Chatbots are accessed through browser sessions, personal accounts, or embedded tools that sit outside approved systems. These interactions bypass SSO, IAM, and logging.
Prompt-level data disclosure outside DLP
Sensitive information is shared through conversational prompts and uploads, not traditional file transfers. Most DLP tools aren't designed to inspect or control data inside AI conversations.
Policy enforcement without evidence
Chatbot usage policies may be defined, but enforcement varies by tool and model. Without runtime controls, organizations can't verify that policies were applied consistently.
Discovery happens too late
Unapproved chatbot usage is often uncovered during audits, investigations, or customer diligence. By then, conversations can't be fully reconstructed.
Why it's hard to catch GenAI chatbots
Most enterprise security stacks were built to monitor files, endpoints, identities, and sanctioned SaaS tools. GenAI chatbots run through conversational prompts and unmanaged sessions, breaking those assumptions.
of chatbot interactions occur outside federated identity controls, including personal accounts, shared sessions, or embedded tools.
of sensitive information shared with GenAI chatbots moves through prompts and conversational input not file transfers.
of widely used GenAI chatbot services do not expose enforcement-grade APIs for CASB or inline inspection.
of organizations report they cannot fully reconstruct chatbot usage during audits beyond basic access logs.
How LangProtect secure GenAI conversations
LangProtect secures GenAI conversations at runtime, monitoring prompts and uploads, enforcing policies in context, and generating audit-ready evidence across approved and Shadow chatbot usage.
Guardia provides continuous visibility into chatbot usage across internal copilots and customer-facing bots. It detects when chatbots are accessed through browsers, extensions, or unmanaged accounts, even when usage bypasses sanctioned platforms or identity systems.
Enterprise-ready AI governance at Scale
Built for organization-wide chatbot deployment
Guardia is designed for enterprise rollout across browsers, teams, and regions. It supports staged adoption, role-based policy segmentation, and consistent governance for both internal and customer-facing chatbots without disrupting daily workflows.
Works with your existing security & audit stack
Guardia integrates into existing security and audit workflows, feeding chatbot governance events into tools teams already use. This enables faster investigation, centralized visibility, and audit reporting without creating a new operational silo.
Designed for governance & compliance programs
Guardia supports AI governance programs that require clear controls and defensible evidence. It helps organizations demonstrate how chatbot usage is monitored, how policies are enforced, and how exceptions are handled in environments under constant compliance scrutiny.