4 ways to manage PII in your log pipeline

The proliferation of SaaS platforms and cloud computing has expanded the scope of personally identifiable information (PII) considerably, making it essential for digital businesses to manage PII in their log streams. To prevent sensitive data from entering the log stream, organizations can adopt application-level governance by implementing standards such as OWASP's logging guidelines, filtering logs using tools like log4j, and adopting drop rules to remove unwanted fields. Forwarding layer governance involves configuring filters and transformations to enforce monitoring and security standards, while pre-persistence SaaS backend governance utilizes New Relic's facilities for removing PII from log data through automatic obfuscation, custom obfuscation rules, and alert conditions. Post-persistence SaaS backend governance allows organizations to manage telemetry data into a master and sub-account structure, ensuring that sensitive information is protected according to internal company access policies. By implementing these approaches, digital businesses can effectively manage PII in their log data and ensure compliance with relevant regulations.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.