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Today we are announcing Amazon CloudWatch Logs data protection, a new set of capabilities for Amazon CloudWatch Logs that leverage pattern matching and machine learning (ML) to detect and protect sensitive log data in transit.

While developers try to prevent logging sensitive information such as Social Security numbers, credit card details, email addresses, and passwords, sometimes it gets logged. Until today, customers relied on manual investigation or third-party solutions to detect and mitigate sensitive information from being logged. If sensitive data is not redacted during ingestion, it will be visible in plain text in the logs and in any downstream system that consumed those log

Enforcing prevention across the organization is challenging, which is why quick detection and prevention of access to sensitive data in the logs is important from a security and compliance perspective. Starting today, you can enable Amazon CloudWatch Logs data protection to detect and mask sensitive log data as it is ingested into CloudWatch Logs or as it is in transit.

Customers from all industries that want to take advantage of native data protection capabilities can benefit from this feature. But in particular, it is useful for industries under strict regulations that need to make sure that no personal information gets exposed. Also, customers building payment or authentication services where personal and sensitive information may be captured can use this new feature to detect and mask sensitive information as it’s logged…

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