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AI Secure Chat is Prisme.ai’s secure, compliant, and collaborative chat environment. It enables enterprise users to interact with multiple large language models (LLMs) — whether self-hosted or cloud-based — while ensuring end-to-end data protection, auditability, and governance control. Advanced features and tools such as web browsing, deep research, and the interactive canvas are natively created and maintained by Prisme.ai, and they work seamlessly across all supported LLMs, regardless of the hosting environment.

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Business Context

In large organizations, Generative AI adoption faces two main challenges:
  1. Security and compliance — ensuring that no confidential or regulated information leaves the organization.
  2. Governance and traceability — providing visibility into who interacts with AI, what data is used, and how responses are shared.
AI Secure Chat addresses these issues by offering a controlled, auditable interface where every message, document, and file is securely managed under enterprise policies.

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Key Capabilities

Connect securely to multiple LLMs (OpenAI, Azure OpenAI, Bedrock, Mistral, etc.) with fine-grained access control and workspace isolation.

Each conversation can open a live Canvas that allows users and AI to co-create structured content — such as documents, forms, or emails — directly within the chat.

Upload PDFs, DOCX, PPTs, Word files, Diagrams, or images to provide rich contextual information to the AI — enabling it to generate accurate, business-relevant outputs.

Built-in audit trails, secure link sharing, and export controls ensure that all AI-generated content remains traceable and compliant.

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Learning Journey

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Video 1 — Understanding AI Secure Chat

Objective of the user case:
Learn how AI Secure Chat helps users analyze incoming emails and craft professional replies using AI assistance.What you’ll see:
  • Sending a customer email for contextual understanding.
  • Activating Deep Research for more advanced reasoning.
  • Reading a structured and well-organized AI response.
  • Viewing the Canvas appearing dynamically with the generated content.
  • Discovering suggested follow-up questions proposed by the AI.
  • Managing conversations: rename, delete, view statistics.
  • Sharing a conversation via a generated secure link.
  • Downloading responses as Markdown or DOCX.
  • Uploading an image to enrich the generated email.
Result:
Teams can streamline customer communication workflows while preserving compliance and traceability.
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Video 2 — Working with the Canvas Feature

Objective of the use case:
Discover how the Canvas enables real-time co-creation of web or document templates directly within AI Secure Chat.What you’ll see:
  • Asking the AI to build a new web form for client issue reporting.
  • Generating fully editable HTML and CSS code.
  • Previewing results instantly within the Canvas.
  • Switching to dark mode and observing live updates.
  • Exporting the generated code for internal system integration.
Result:
The Canvas transforms Secure Chat into a low-code collaborative environment where teams can design, iterate, and export AI-generated assets safely.

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Practical Applications

DepartmentUse CaseDescription
Customer SupportEmail UnderstandingAnalyze customer requests and generate contextual, compliant responses.
MarketingCampaign Co-CreationDraft and edit campaign materials collaboratively with AI in a governed workspace.
Human ResourcesInternal Knowledge AccessProvide secure, conversational access to HR policies and internal documentation.
Legal & ComplianceDocument DraftingCo-create legal templates and ensure all outputs remain within policy boundaries.

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Key Takeaways

  • Unified, secure chat interface for multi-LLM enterprise deployments.
  • Real-time collaboration with a dynamic Canvas integrated into every conversation.
  • Audit-ready governance through access policies, logging, and content control.
  • Scalable foundation for compliant Generative AI adoption across business units.
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