30How do you approach monitoring and maintaining ML models in production, drift, retraining, and failures?▼hardJPMorganNetflixUber1 replies◆ premiumThe lead-level capstone: not 'which metrics' but 'what's your operating program.' SLOs per model, a drift policy with teeth, retraining as routine rather than rescue, and the inventory discipline that separates teams who run models from teams who babysit them.Open full answer →
12Design an ongoing AI red-team program: team, harm categories, cadence, and what you'd automate with PyRIT first.▼hardMicrosoftScaleAnthropic1 replies○ sign inThe grown-up version of 'how would you red-team a chatbot', Microsoft-style loops ask for a program, not a pen test. Team composition, harm taxonomy, iteration cadence, and which attack classes you script on day one.Open full answer →
33Your customer's developers install MCP servers freely. Build the program that secures that tool-integration supply chain.▼hardAnthropicMicrosoftGitHub1 replies◆ premiumOne backdoored MCP server can BCC every email an agent drafts, and a clean server can rug-pull its tool definitions a week after approval. This is a software supply-chain program for dependencies that talk, not a one-time review.Open full answer →
