AI Moderation for Safe Play
Protect players with AI content moderation that scales to millions of users
About AI Security in Gaming
Gaming companies use AI for content moderation, NPC dialogue, player support, and community management. These systems must protect younger players from harmful content, prevent toxic behavior, and maintain safe gaming environments. Wardstone provides the moderation and security layer needed for AI in gaming, blocking toxic content while preventing AI manipulation by malicious players.
AI Security Challenges in Gaming
Toxic Player Behavior
AI must moderate chat, voice, and generated content to prevent harassment and toxicity.
Child Safety
Games with younger players must filter inappropriate content and comply with COPPA.
AI NPC Manipulation
Players attempt to jailbreak AI NPCs to produce inappropriate or game-breaking content.
Scale of Moderation
Popular games generate millions of messages requiring real-time moderation.
Use Cases for Gaming
Chat Moderation
Real-time AI moderation for player chat and voice
AI NPCs
Secure AI-powered non-player characters from manipulation
User Content
Moderate AI-assisted user-generated content creation
Player Support
Protect AI customer support from abuse and manipulation
Compliance Support
COPPA
Children's Online Privacy Protection for games with players under 13
Content moderation and PII detection help maintain COPPA compliance.
ESRB Guidelines
Entertainment Software Rating Board content standards
Content filtering helps maintain rating-appropriate AI-generated content.
Platform Policies
Xbox, PlayStation, Steam, and mobile platform content requirements
Comprehensive moderation helps meet platform content standards.
Gaming AI Security Architecture
High-performance moderation for real-time gaming
Threats We Protect Against
Toxic Content Generation
highLLM outputs containing harmful content including hate speech, violence, harassment, or other toxic material.
Jailbreak Attacks
criticalSophisticated prompts designed to bypass LLM safety guidelines and content policies to elicit harmful or restricted outputs.
Prompt Injection
criticalAn attack where malicious instructions are embedded in user input to manipulate LLM behavior and bypass safety controls.
PII Exposure
highThe unintended disclosure of Personally Identifiable Information (PII) such as names, addresses, SSNs, credit cards, or other personal data through LLM interactions.
Related Industry Solutions
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