Production logs often hold more than errors and events. Hidden inside them you might find personal data, secret keys, API tokens, database passwords, or proprietary business information. At scale, this turns logs into an unguarded vault—one breach away from a public incident. Masking PII and scanning for secrets in code are not optional. They are the bare minimum.
Logs are dangerous because they feel harmless. Engineers push debug statements to production without thinking twice. Exceptions get dumped to stdout. Request bodies get logged in full for diagnostics. Before long, your log stream becomes a mirror of your internal data, full of sensitive records you never intended to store.
The first step is identifying where PII appears. Names, addresses, phone numbers, emails, payment details—all must be treated like live explosives. Filters and masking rules should run at the application layer before the log leaves your service. Use consistent redaction patterns so sensitive values can never slip through raw.