Protecto is the Data Control Plane for Agentic AI, protecting sensitive data without breaking AI usefulness. Detects 30+ types: PII, PHI, financial info, and context-based data like legal strategy or discount terms. Context-preserving masking keeps agents functional.
CBAC enforces real-time policy on sensitive context.
GPTGuard MCP enables policy-aware RAG retrieval.
Works with LangChain, Gemini, Claude, n8n, and custom stacks.
Multi-tenant, audit-logged, GDPR/HIPAA/CCPA/DPDP compliant.
When you build AI agents (LangChain, CrewAI, AutoGen etc), they process a large amount of data, these data might contain sensitive information like PII, PHI or PCI or even Intellectual properties. Most teams have no good way to protect that data. Open source NER models or Enterprise masking solutions cost $50K+/month and take 3 months. Building custom takes 6+ months.
We built something different. API-first, designed for developers, $250/month, deploys in 2 hours.
Happy to answer questions about:
- Why traditional masking tools fail on unstructured text
- How LLM-based detection works
- Integration with your specific AI stack
- Compliance/regulatory angle
- Business model
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