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Application logging: start with the investigation need
Identify which events would help diagnose failure or suspicious activity. Examples include a failed job, permission change or unexpected integration error. Avoid logging every request body by default. A useful event describes what happened and when without turning the log into a copy of private business data. Confirm responsibilities for review rather than collecting records nobody examines.
Exclude sensitive values
Do not print passwords, tokens, private keys or full payment details. GitHub’s secure-use reference explains that automatic secret redaction is not guaranteed and transformed values can escape masking. Prevent unnecessary capture at the source. Review how third-party commands report errors, because sensitive values can appear in debug output even when your own code avoids them.
Protect log access
Use permissions appropriate to the system and limit access to authorized people. Logs can reveal account identifiers, business activity and infrastructure details. Do not place them in public repositories or unrestricted shared folders. Review transfers to monitoring providers and AI tools under the relevant data policy. A record being called “diagnostic” does not make it nonsensitive.
Set retention and review rules
Keep records for a justified period based on operational and legal requirements. Preserve evidence appropriately when an incident is suspected; do not apply ordinary deletion blindly. Test whether timestamps and event identifiers are useful for authorized correlation. Avoid promising that collecting more data automatically improves security. Unnecessary volume can obscure important signals and increase exposure.
Respond to exposure
If a secret appears in a log, follow the approved incident process, restrict continued exposure and rotate the credential as appropriate. Deleting one visible copy does not invalidate a stolen value. Review the cause before re-enabling excessive debug output. Safe logging balances useful evidence with minimization, access controls and responsible recovery rather than relying on masking alone.
Sources and further reading
GitHub Docs: secure workflow use and secrets
CISA: small-business security and incident planning