New AI system improves product safety checks at Meta
The system automates documentation and surfaces legal requirements, helping teams identify risks faster and apply safeguards more consistently.
Meta has introduced AI into its Risk Review programme, reshaping how privacy, safety and security issues are identified before product launches. The system is designed to support faster and more consistent decision-making across development teams.
The AI process automates compliance tasks, including pre-filling documents, surfacing legal requirements and flagging early product risks. Acting as an always-on detection layer, it helps teams address issues before testing stages and reduces reliance on manual intake processes.
Despite the automation, human experts remain central to the review process. AI is used to support rather than replace judgement, enabling specialists to focus on complex or high-impact cases while maintaining oversight of outcomes.
The approach is intended to improve consistency in applying global privacy and safety standards.
Meta says the system strengthens its ability to manage evolving regulations while maintaining innovation speed. By combining AI analysis with expert review, the company aims to build safer products and improve trust across its platforms.
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