Safety Filter
A post-processing mechanism that screens AI model outputs for harmful, inappropriate or policy-violating content before presenting results to the user.
In plain language
A last line of defence that checks AI outputs before they reach users. Even if the AI generates something harmful, the safety filter catches and blocks it, like a security checkpoint at the exit.
Why this matters
Safety filters are a governance control that provides a last line of defence against harmful AI outputs. Your governance framework should require safety filtering for all customer-facing AI systems and define monitoring procedures to ensure filters remain effective.
Relevance
GovernanceSafety filters must be tested regularly, monitored for bypass attempts and updated as new harms are identified, requiring documented procedures and accountability.
Related terms
Putting safety filter into practice in your organisation?
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