Frontier AI Speed with Real Talk on Security

Most companies resolve the tension between AI usefulness and data risk by locking the data down, quietly killing the use case. Handshake couldn't: it supplies training data to frontier labs moving at an insane speed while running agents across its own stack. Matt walks through the internal products they're building (Mordor, Heimdall, Charon, Tartarus, and Citadel) that make both possible — column-level masking so models query broadly without broad exposure, a single surface where risky agent actions stage for human approval, a proxy metering every model call that turns the cost record into a training corpus, and two forms of sandboxing for safe agent code execution.