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This provision describes the technical architecture through which Anthropic monitors and filters user interactions with its models at ASL-3 capability levels, establishing that both real-time and asynchronous analysis of user inputs and AI outputs will be conducted as a structural feature of deployment.
Cross-platform context
See how other platforms handle Multi-Layered ASL-3 Deployment Safeguard Architecture and similar clauses.
Compare across platforms →"Our deployment safeguards will employ a defense-in-depth strategy with four main layers, each designed to catch potential misuse that might pass through previous barriers. The four layers will be: Access controls to tailor safeguards to the deployment context and group of expected users. Real-time prompt and completion classifiers and completion interventions for immediate online filtering. Asynchronous monitoring classifiers for a more detailed analysis of the completions for threats. Post-hoc jailbreak detection with rapid response procedures to quickly address any threats.Excerpt from Anthropic's Responsible Scaling Policy
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This provision describes the technical architecture through which Anthropic monitors and filters user interactions with its models at ASL-3 capability levels, establishing that both real-time and asynchronous analysis of user inputs and AI outputs will be conducted as a structural feature of deployment.
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