Show HN: See what your employees are prompting LLMs (without network proxies)
a day ago
- #AI Security
- #Data Protection
- #Compliance
- Privent provides a security layer embedded within AI agent execution graphs (e.g., LangGraph, CrewAI, n8n) to protect data before reaching external models.
- It intercepts and controls data movements by reading full runtime states, including message history, tool outputs, and context, ensuring sensitive information doesn't leave infrastructure.
- Instead of blocking data, it transforms sensitive payloads using ACARS scoring and APE techniques like tokenization or substitution, maintaining pipeline functionality.
- Deployment is lightweight and non-disruptive, offering a 30-day silent assessment to map data risks across platforms like ChatGPT, Claude, and Gemini.
- Privent logs detection events with risk signals and compliance data (GDPR, HIPAA, EU AI Act) without storing raw prompts, facilitating audits.
- It secures all points where enterprise data meets AI, from employee prompts to agent tool calls, preventing leaks across agent boundaries.
- Pricing is custom, tailored to deployment size and compliance needs, starting with a free Enterprise AI Risk Report.