Astra

Astra is a security layer for AI agents that tokenizes sensitive data (PHI, PCI, PII) before it ever reaches the model context. Instead of exposing raw personal information to the LLM, Astra replaces it with safe, reversible tokens. The agent reasons using these tokens and only resolves them to real values at execution time — when the agent calls an external tool or API. This means the model never sees your users' private data, significantly reducing compliance risk and attack surface. Astra is designed for developers and teams building AI agents that need to handle sensitive data — healthcare (HIPAA), finance (PCI), or any PII-bearing workflows. It works with any agent framework (LangChain, CrewAI, custom) and requires only two lines of code to integrate. Setup involves wrapping your agent's input/output with Astra's tokenizer and configuring which fields to redact. What makes Astra different is its focus on privacy-preserving reasoning rather than just masking. Traditional redaction removes data entirely, breaking the agent's ability to make decisions. Astra's tokens preserve semantic context — the agent can still refer to "the patient born on [TOKEN_DATE]" without seeing the actual date. At execution time, tokens expand back to real values only for the target API call. Currently in early access, Astra offers a hosted cloud service with a generous free tier. It's built by a team from Stripe and Plaid experienced in handling sensitive financial data. The product is evolving rapidly with new pattern detection and compliance features.