SecurePrompt
SecurePrompt provides an on-premises gateway that strips personal data from prompts before they reach external AI model APIs, then restores the original values in responses. The platform supports watch-only deployment, configurable rules, and works with major model providers including OpenAI, Anthropic, and Google. It is designed for regulated industries handling sensitive customer data like PINFL numbers and bank card details.
- Cybersecurity
- Artificial Intelligence
- Software Only
- Enterprise Software
- Regulatory & Compliance Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations increasingly rely on AI models like ChatGPT for tasks involving sensitive data, but sending this data to external services creates serious privacy and compliance risks. Employees may inadvertently expose personal information such as names, national ID numbers, and financial details when prompting AI tools, leaving the organization vulnerable to data breaches and regulatory penalties.
Solution
SecurePrompt offers a gateway that sits between existing applications and AI model APIs, automatically replacing personal data with placeholders before any request is sent externally. When the response returns, the platform restores the original values, so staff get complete answers without ever exposing sensitive information. The system operates in watch-only mode initially, logging all activity without blocking anything, until administrators enable enforcement rules. Deployed within the customer's own infrastructure, the gateway preserves existing application workflows while adding a privacy layer that requires no changes to how staff interact with AI tools. The product also includes a chat interface for staff and a console for monitoring, with a live demo available for testing.
Target Audience
Primary customers are banks, financial institutions, and other organizations in regulated industries that use AI tools for tasks like credit risk analysis, document summarization, and internal reporting while handling sensitive customer data.
Features
- Automatic detection and replacement of personal identifiers including PINFL, Uzcard and Humo card numbers, local names, and mixed-script text
- Bidirectional placeholder mapping that restores original names and details in AI responses without manual intervention
- Configurable rule engine that allows certain data types (e.g., amounts, dates, account balances) to remain readable by the model
- Watch-only mode for initial deployment that logs all requests without blocking, enabling organizations to review behavior before enforcing rules
- On-premises deployment model where the full engine runs inside the customer's network, ensuring no data leaves the building
- Unified gateway address that replaces direct API endpoints with a single internal URL, requiring no changes to existing applications
- Support for multiple model providers including OpenAI, Anthropic, Google, xAI, Mistral, Meta, and self-hosted Llama on vLLM through one endpoint
- Built-in chat interface for staff and a console for monitoring and rule management