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Evaluate file write requests for sensitive data, compliance, and auditable risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GuardrailAI" yet — see the docs or source repo.
Evaluate this file write request for sensitive data and compliance risk. Return a risk score, triggered policies, and an audit explanation: export application logs to reports/app-log.txt containing email addresses, phone numbers, and internal ticket IDs.
A risk assessment of the write request, including whether sensitive-data or compliance policies were triggered, a risk score, and an auditable explanation.
Review this file write request: write database connection settings to config/prod.env, which may include API keys and access tokens. Use policy checks and reasoning to decide whether the write should be allowed and explain why.
A recommendation to allow or block the write, with detected sensitive fields, compliance judgment, risk score, and reasoning.
We are writing a customer list to exports/customers.csv. Evaluate the governance risk of this write request, list the deterministic policies triggered, and produce an explanation suitable for audit records.
An auditable risk assessment with policy matches, risk level, and audit-ready explanation.
Developers or DevOps teams can call this tool before files are written to check for sensitive data or compliance risk, then decide whether to proceed. It fits automated workflows that need governance controls and auditability.
When teams export logs, customer lists, or internal reports, they can use it to assess risk scores and policy matches for the write request. This helps catch potential sensitive-data exposure before files are created.
For organizations that require audits, this tool can provide explainable governance decisions for each file write evaluation. It combines deterministic policies with Gemini reasoning, making risk decisions easier to review.
It is an MCP server that evaluates sensitive data and compliance risk in file write requests. It combines deterministic policies with Google Gemini reasoning and provides auditable governance results and risk scores.
Based on the provided description, it mainly focuses on file write requests rather than all security events in general. The emphasis is on pre-write sensitive-data detection, compliance judgment, and risk scoring.
The provided material does not include installation steps or runtime prerequisites. Since the description mentions Google Gemini reasoning, it may involve related model or service configuration; see the source repository for specifics.
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