Introducing the OpenAI Safety Bug Bounty program

OpenAI's bug bounty program signals that AI safety is becoming a first-class operational concern, not an afterthought. For those of us building data platforms, this means we need to treat LLM integrations with the same rigor we apply to database security. Prompt injection and data exfiltration vulnerabilities aren't theoretical—they're real attack vectors when you're piping sensitive customer data through AI models in production. I've seen teams rush to add ChatGPT to their analytics stacks without considering how their retrieval-augmented generation pipelines might leak PII or execute unintended queries. The broader signal here is that the industry is moving toward treating AI as infrastructure, which demands the same architectural discipline we've always applied to data governance. My recommendation: audit your current AI touchpoints now. Map where sensitive data enters LLM workflows, implement strict input validation and output filtering, and establish clear ownership for AI-related security incidents. This isn't optional—it's table stakes.