TeamPrompt

What is TeamPrompt?

TeamPrompt is an AI data loss prevention (AI DLP) and prompt management platform designed for teams using AI chat tools. Its purpose is to prevent sensitive data from being sent to systems like ChatGPT, Claude, and Gemini by scanning prompts in real time, while also helping teams standardize and govern the prompts they share.

In addition to DLP scanning, TeamPrompt provides a shared prompt library with templates, approval workflows, and usage analytics, plus an audit trail that logs AI interactions. The platform supports multiple “compliance packs” intended to provide framework coverage such as HIPAA, SOC 2, PCI-DSS, GDPR, and others.

Key Features

• Real-time DLP scanning for prompts: Detects sensitive data types such as SSNs, credit card numbers, API keys, patient records, and confidential data before content reaches supported AI tools.
• Three handling modes for detected data: Configure rules to block, warn, or auto-redact when sensitive patterns are found.
• Shared prompt library with governance: Maintains an approved, searchable collection of prompts, including templates with variables, approval workflows, and quality guidelines.
• Usage analytics across the team: Provides prompt usage analytics to understand how approved prompts are being used by different team members.
• Shared prompts and secure chat access inside AI tools: Uses a browser extension that works directly inside ChatGPT, Claude, Gemini, Copilot, and Perplexity, with scanning starting immediately after installation.
• Compliance & audit trail: Logs AI interactions with 19 pre-built compliance packs and supports exportable reports for auditors.

How to Use TeamPrompt

1. Get started with the extension or secure chat: Install the browser extension for Chrome, Edge, or Firefox (under two minutes per the page), or use the built-in secure chat.
2. Configure compliance and prompt standards: Enable the relevant compliance packs for your organization and add your team’s prompts into the shared library.
3. Set DLP rules and handling behavior: Choose whether detected sensitive data should be blocked, warned, or auto-redacted.
4. Use approved prompts during normal AI work: Search for approved prompts and insert them while working in supported AI chat interfaces; TeamPrompt scans prompts in real time and records activity for the team’s audit trail.

Use Cases

• Healthcare teams managing patient data: Prevent patient records or other sensitive identifiers from entering AI prompts by detecting and blocking or redacting flagged content.
• Fintech and payments teams handling financial identifiers: Detect and stop patterns such as credit card numbers and related sensitive data before it is submitted to AI tools.
• Engineering teams protecting credentials and API keys: Block or remove API keys and credential-like patterns in prompts to reduce the risk of leaking secrets during troubleshooting or code-related tasks.
• Marketing or support teams standardizing outreach prompts: Maintain a shared prompt library so team members use consistent templates and follow quality guidelines rather than writing prompts from scratch.
• Organizations needing auditability for AI usage: Use the logged activity and exportable compliance reports to support internal review and auditor requests.

FAQ

• Which AI tools does TeamPrompt support? The page states it works with ChatGPT, Claude, Gemini, Copilot, and Perplexity.

• How does TeamPrompt respond when it detects sensitive data? It can be configured to block, warn, or auto-redact when patterns associated with sensitive data are detected.

• Is real-time scanning available, or does it require manual review? The platform is described as performing real-time DLP scanning so prompts are checked before they reach the AI tools.

• Does TeamPrompt provide an audit trail? Yes. The page describes a full activity log of AI interactions and mentions exportable reports for auditors, along with pre-built compliance packs.

• How long does setup take? The page states installation/setup can take under two minutes.

Alternatives

• Browser-based DLP / content filtering for web inputs: Alternatives in this category focus on detecting and filtering sensitive data in web forms or browser content. They may not include prompt libraries, approval workflows, or audit trails tailored to AI chat workflows.
• Enterprise prompt management or governance platforms: These tools emphasize standardized prompt templates and governance, but may not provide real-time DLP scanning across multiple AI chat interfaces.
• AI security monitoring solutions (for usage and logs): Some products primarily provide logging and monitoring around AI tool usage. They may not block or redact sensitive data before it is sent.
• Manual process with internal approved prompt templates: Teams can create shared documents and require review before prompts are used. This reduces reliance on tooling but typically lacks automated scanning and consistent enforcement inside the AI chat interface.