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WordPress has integrated AI models into its plugin distribution pipeline to automatically block malicious code before it reaches live sites, addressing a critical gap in their previous manual review process. This system analyzes every release during a mandatory cooldown period, consolidating findings from multiple detection engines to assign security scores and prevent compromised updates from being distributed via the API. While not infallible, this automation significantly reduces the window of exposure for the millions of websites relying on the WordPress ecosystem.

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WordPress Uses AI to Stop Malicious Plugin Updates Before They Reach Millions of Websites

Cybersecurity News10 septembrie 20264 min de cititArticolul și perspectiva sunt în engleză.

WordPress has rolled out an automated, AI-driven security review that screens every plugin release before it reaches the WordPress.org update API, adding a critical checkpoint to a distribution pipeline that had previously lacked one. The move follows a real-world incident in which a backdoor was slipped into an update for a plugin with roughly 20,000 […] The post WordPress Uses AI to Stop Malicious Plugin Updates Before They Reach Millions of Websites appeared first on Cyber Security News.

WordPress has rolled out an automated, AI-driven security review that screens every plugin release before it reaches the WordPress.org update API, adding a critical checkpoint to a distribution pipeline that had previously lacked one. The move follows a real-world incident in which a backdoor was slipped into an update for a plugin with roughly 20,000 active installations, exposing a dangerous gap between when a plugin release is committed and when it reaches…

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