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Ship AI features without waiting to build specialized safety infrastructure for each new capability
Detect adversarial attacks specific to AI that bypass traditional content moderation systems
Enforce your policies, partner requirements, and regulations simultaneously across AI outputs
Monitor AI systems for harmful outputs and model drift automatically as they evolve
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Multi-policy enforcement: Validate products against your platform policies, marketplace partner requirements, and regulatory restrictions simultaneously

Protect relationships: Maintain marketplace partnerships by enforcing their product policies through your AI recommendations

Reduce liability exposure: Demonstrate policy compliance as the industry determines responsibility for AI-recommended purchases

Relevance assurance: Ensure suggested products match user intent and comply with all applicable policies

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Launch features faster: Deploy conversational AI and generative tools with guardrails that enforce your content policies automatically

Stop exploits: Detect jailbreaks, prompt injection, and social engineering attempts that manipulate your AI into harmful outputs

Moderate AI outputs: Catch hate speech, harassment, scams, and brand safety violations in AI-generated content before users see them

Scale without specialists: Automated safety coverage eliminates the need to build internal red-teaming or AI safety teams

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Continuous protection: Monitor AI systems in production for harmful outputs, model drift, and policy violations as they evolve

Pre-launch validation: Red-team new models and features automatically to surface vulnerabilities before users find them

Cross-modal coverage: Detect exploits and policy violations across text, image, and video generation simultaneously

Maintain velocity: Ship AI features on your timeline with safety infrastructure that adapts automatically to new threats



