Stop agents from sending sensitive data into logging pipelines
Even if the core output is filtered, agents can leak PII into logs, error traces, or monitoring dashboards. Guardrails restrict what reaches observability systems.
What's at stake
- Logs are often stored indefinitely and accessed by teams who shouldn't see customer data
- Error traces include the full context of what the agent was processing when it failed
- Third-party observability tools (Datadog, Splunk, Sentry) receive your logs—and everything in them
- Security audits check where sensitive data can appear, not just primary outputs
- A single PII leak in logs can violate data retention policies and privacy regulations
How to solve this
The hardest leakage path to close is the observability pipeline. Your agent might correctly filter customer data from user-facing outputs, but then log the full conversation context for debugging. Error handlers dump the complete state when something fails. Monitoring dashboards track every input and output.
The solution is to treat logging and monitoring as output channels that require the same filtering as user-facing responses. Every piece of data that flows to observability systems must be inspected and cleaned.
This means intercepting log calls, error traces, and metrics before they leave your system. Pattern matching catches structured data like emails and credit cards. Semantic analysis catches unstructured personal information that shouldn't be persisted.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For logging and observability, Superagent's Redact model can be configured to filter data before it reaches your logging pipeline. When your agent logs a message, throws an error with context, or sends metrics to a monitoring system, Redact scans and cleans the payload.
You define what should never appear in logs: email addresses, phone numbers, API keys, session tokens, or custom patterns for your internal data. Redact applies these rules at the source, before data ever leaves your system.
Your observability pipeline continues to work normally—you still get the debugging information you need—but sensitive data is masked or removed. Compliance teams can verify that your logs are safe to retain and share with third-party tools.