Agent Dlpv1.0.0

A customer support chatbot must be protected from prompt injection attacks where users try to override the bot's instructions. The DLP system detects injection patterns and blocks malicious inputs, ensuring the bot behaves as designed.

An enterprise AI assistant handling employee data must ensure no sensitive information like phone numbers or emails is leaked. The Output Filter detects and masks such data, while Audit Logger records all interactions for compliance.

An AI agent that can execute system commands and access sensitive tools needs to prevent abuse. The Tool Guard requires approval for dangerous tools like 'exec', and the Input Guard blocks privilege escalation attempts.

A medical AI assistant handling patient records must prevent leakage of personally identifiable information (PII). The DLP system intercepts outputs containing ID card numbers and credit card data, ensuring HIPAA compliance.

A SaaS platform offering AI features needs to log all inputs and outputs for security audits. The Audit Logger captures everything, and the system can be set to 'strict' mode for full inspection without disruption.

Offer the DLP functionality as a subscription add-on for existing AI platforms, providing tiered protection levels (normal vs strict). Users pay monthly per agent or per volume of checks.

Release the core DLP as open-source, then charge for enterprise features like advanced rule customization, dedicated support, and priority updates. This builds community adoption and upsells enterprise licenses.

Charge per DLP check (input check, output check, tool check) with a free tier for low volumes. Integrate with existing AI platforms via API, billing based on number of checks performed.