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Spring AI Privacy Guardrails
Spring AI Privacy Guardrails is a Java software library that provides privacy protection, tool authorization, and content inspection for Spring AI applications.
Spring AI Privacy Guardrails is a Java library designed to secure Spring AI applications by adding privacy protection, tool authorization, and content inspection. It tokenizes detected PII before requests reach the model and restricts original data exposure exclusively to authorized tools. The library integrates with Spring Security to limit tool visibility and execution based on user permissions. It supports content inspection using rules, local ONNX models, or HTTP guard models. The tool is intended for developers building Java applications with Spring AI and Spring Boot who need robust data privacy and security controls.
Spring AI Privacy Guardrails at a glance
Key features
- Tokenize detected PII before model ingestion
- Authorize tools using Spring Security permissions
- Inspect input and output content with rules or ONNX models
- Restore original PII data only for selected tools
- Configure policies for privacy and tool execution
Use it for
- Preventing sensitive PII from reaching AI models
- Securing AI tool execution based on user roles
- Inspecting requests and responses for security compliance
Alternatives to Spring AI Privacy Guardrails
- Guardrails AI — It detects and mitigates specific risks and generates structured data from LLMs.
- OpenAPPA — Tracks data flows algebraically to prevent prompt injection without breaking agents.
- Fluxix — Stops dangerous tool calls and data leaks before execution.
- Repo Guards — It prevents AI agents from performing destructive actions across multiple repositories.
- Laya Guard — Judges every tool call locally on your laptop in ~0.1s with no per-decision billing.
- OrcaRouter — Route requests to the best models without paying token markups.
- AgentGuard — Get a security and quality assessment of AI skills in seconds without an account.
- Secret Guard — Prevents sensitive credentials from reaching third-party AI vendor servers.
- Daytona — It provisions sandboxes in under 90 milliseconds with full security isolation.
- Robusta — Reduces costs and noise by investigating unique incidents instead of raw alerts.
- Datadog — Consolidates observability and security data in one unified platform.
- Future AGI — Debug, test, and protect AI agents using simulations, tracing, and guardrails.
All Spring AI Privacy Guardrails alternatives