Products/AI Infrastructure Tools, Security software, Developer Tools, Artificial Intelligence/Astra

Astra

Make AI agents that never see your data

AI Infrastructure Tools, Security software, Developer Tools, Artificial IntelligenceFounded 2026Tokenization of sensitive data before promptAgent reasons on semantic tokens, not raw dataReal values resolve at execution onlyTwo lines of code integrationWorks with any agent frameworkSeparate audit trail (tokens) from vault (real values)No tradeoff between security and functionality

Our Take

Astra is the kind of tool that makes compliance teams actually sleep at night instead of having nightmares about PHI floating around in LangSmith traces. It tokenizes your sensitive data before it ever touches your agent's context window, so your LLM reasons on meaningless tokens while the real values only materialize at execution — which means your audit logs show semantic tokens, not actual SSNs and credit card numbers. Two lines of code, works with any agent framework, and it just dropped this week already sitting at Day Rank #12 on Product Hunt. If you're building AI agents on regulated data and haven't thought about this yet, Astra's about to become your new best friend.

Tokenizes PHI, PCI, and PII before it reaches your AI agent. It reasons on safe tokens, acts on real values at execution - the raw data never touches the model context. Two lines of code. Works with any agent framework.

Problem It Solves
Prevents AI agents from seeing raw sensitive data. Solves the problem where LLMs unnecessarily see PHI, PCI, PII in prompts, traces, and logs - creating compliance risks and audit failures.
Target Customer
Teams building AI agents on regulated data, enterprises with compliance requirements (PCI/HIPAA), companies needing proof that LLMs never see customer data.
Use Cases
Prevent PII leaking via tool-call JSON, Prevent data in agent memory, Prevent data in observability/traces, Compliance reviews (PCI/HIPAA), Enterprise contract requirements for data privacy
Why Now
Three triggering moments: 1) Incident - finding real SSN in LangSmith traces, 2) Compliance audit failing when showing prompts contain real values, 3) Enterprise contracts requiring proof LLM never sees data. More AI agents being built on regulated data with no existing solution.
Traction
User Count: 134 followers · Notable Metrics: 114 points, Day Rank #12, Launched this week · Testimonials Count: 0 reviews (not yet reviewed)

Key Facts

Category
AI Infrastructure Tools, Security software, Developer Tools, Artificial Intelligence
Founded
2026
Discovered via
product-hunt

The people behind Astra

O

Obed Mpaka

profile

Links

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