Astra
Astra is an AI agent data protection platform that tokenizes sensitive data (PHI, PCI, PII) before AI agents process it, enabling full compliance with HIPAA, PCI-DSS, and GDPR through three simple API calls with less than 50ms latency.
https://codeastra.dev/?ref=producthunt
Product Information
Updated:Apr 16, 2026
What is Astra
Astra (codeastra.dev) is an enterprise-grade data protection middleware designed specifically for AI agents handling sensitive information. In an era where AI agents increasingly process protected health information (PHI), payment card data (PCI), and personally identifiable information (PII), Astra provides a revolutionary approach: data blindness. The platform ensures AI agents can reason, plan, and execute tasks without ever seeing raw sensitive data. By tokenizing sensitive information before it reaches the AI agent and only resolving it within a secure vault during execution, Astra enables enterprises to deploy AI agents on their most sensitive data with zero exposure risk. The solution integrates seamlessly with existing AI agent frameworks through a simple SDK, requiring just three lines of code to implement full compliance.
Key Features of Astra
Astra (codeastra.dev) is an enterprise-grade data protection platform designed specifically for AI agents handling sensitive information. It tokenizes PHI, PCI, and PII data before AI agents can access it, allowing agents to reason on safe tokens while executing real actions without ever touching raw data. The platform offers sub-50ms latency, requires only 3 API calls for full HIPAA/PCI/GDPR compliance, and can be integrated with just 3 lines of code. Astra supports multiple deployment modes including cloud, hybrid, and air-gap configurations, ensuring that sensitive data remains within customer infrastructure while enabling AI agents to perform their tasks effectively and compliantly.
Smart Tokenization with Type Awareness: Automatically scans, classifies, and replaces PHI/PCI/PII fields with type-aware tokens (e.g., [PATIENT_NAME], [CARD_NUMBER]) in under 50ms, allowing AI agents to understand data context without seeing actual values
Blind RAG (Retrieval-Augmented Generation): Documents are tokenized before entering vector stores, enabling agents to search and retrieve relevant information using non-sensitive metadata and token IDs without accessing real patient names, SSNs, or diagnoses
5-Gate Security Architecture: Every token resolution passes through 5 security gates (revocation status, expiration, usage limits, action permissions, field permissions) before real values are returned, with single-use tokens that self-destruct after execution
3-Line Integration: Drop-in SDK that wraps existing AI agents with BlindAgentMiddleware, requiring minimal code changes (install, wrap, run) to achieve full data protection and compliance
Flexible Deployment Options: Supports cloud, hybrid, and air-gap deployment modes where the Vault component runs entirely inside customer infrastructure, ensuring raw data and decryption keys never leave the customer's VPC
Zero Data Exposure Compliance: Built-in HIPAA, PCI-DSS, and GDPR compliance with BAA availability, zero logging of raw data, SOC 2 alignment, and immutable audit trails on every API call
Use Cases of Astra
Healthcare AI Agents: Deploy AI agents to search, analyze, and manage patient records while maintaining HIPAA compliance, allowing agents to identify diabetic patients over 65 or process medical claims without ever seeing actual patient names, SSNs, or diagnoses
Financial Services Automation: Enable AI agents to process payment transactions, detect fraud, and handle customer financial data while maintaining PCI-DSS compliance, with credit card numbers and banking information tokenized throughout the entire workflow
Customer Support AI: Deploy AI-powered customer service agents that can access and reason about customer PII (names, addresses, phone numbers) to resolve issues without exposing sensitive personal information to the underlying LLM or logging systems
Enterprise Document Processing: Automate document analysis and extraction workflows where AI agents need to process contracts, invoices, or legal documents containing sensitive business information while maintaining data privacy and regulatory compliance
HR and Recruitment Automation: Use AI agents to screen resumes, schedule interviews, and manage employee data while protecting PII such as social security numbers, addresses, and salary information from being exposed to external AI models
Regulatory Compliance Monitoring: Deploy AI agents to monitor and audit sensitive data usage across enterprise systems, ensuring GDPR, CCPA, and other privacy regulations are maintained while the agents perform analysis on tokenized data
Pros
Extremely fast integration with only 3 lines of code and minimal infrastructure changes required
Sub-50ms latency ensures minimal performance impact on AI agent workflows
Flexible deployment options (cloud, hybrid, air-gap) allow enterprises to maintain full control over sensitive data and encryption keys
Comprehensive compliance coverage including HIPAA, PCI-DSS, GDPR with built-in audit trails and zero data logging
Cons
Relatively new product with limited public adoption data or case studies available
May require additional configuration and testing for complex multi-agent workflows with multiple data sources
Performance with multiple simultaneous vulnerabilities or edge cases may vary as noted in related CodeAstra security tools
Pricing structure beyond the initial 1,000 free API credits is not clearly disclosed on the website
How to Use Astra
1. Install the Astra SDK: Install the codeastra package using pip: 'pip install codeastra'. This is the only dependency required with no configuration files or infrastructure setup needed.
2. Import and Initialize BlindAgentMiddleware: Import the BlindAgentMiddleware from codeastra and wrap your existing AI agent: 'from codeastra import BlindAgentMiddleware' then create an instance with 'blind = BlindAgentMiddleware(agent=your_agent)'. This automatically handles classification and tokenization of PHI/PCI/PII data.
3. Run Your Agent with Data Protection: Execute your agent tasks using the blind wrapper: 'blind.run(task)'. The agent will reason on tokens instead of real data, while Astra resolves and executes actions securely.
4. Data Flow Process: When data enters: (1) Raw PHI/PCI/PII data is sent to the Astra SDK running in your app, (2) Data is classified and tokenized into type-aware tokens like [PATIENT_NAME] or [CARD_NUMBER] in under 50ms, (3) Tokenized data is sent to the cloud LLM which reasons on tokens only, (4) When action is needed, the Astra Vault (in your VPC) resolves tokens and executes with real data.
5. Token Security and Execution: Smart tokens carry embedded policies (allowed actions, target fields, max uses, TTL). Every token resolution passes through 5 security gates: not revoked, not expired, uses remaining, action allowed, and field allowed. Single-use tokens self-destruct after execution.
6. Choose Deployment Mode: Select your deployment mode based on compliance requirements: Cloud (managed by Astra), Hybrid (Vault in your VPC), or Air-Gap (fully on-premises). In Hybrid and Air-Gap modes, the Vault runs entirely in your infrastructure and Astra never accesses your raw data or decryption keys.
7. Start with Free Credits: Begin with 1,000 free API credits without requiring a credit card. Monitor usage and scale as needed while maintaining full HIPAA, PCI-DSS, and GDPR compliance.
Astra FAQs
Astra is a data protection platform that tokenizes sensitive data (PHI, PCI, PII) before AI agents process it. It allows enterprises to deploy AI agents on sensitive data with zero data exposure, ensuring full compliance with HIPAA, PCI-DSS, and GDPR regulations.
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