How well do frontier LLM agents actually perform when the stakes are real? This episode works through three fresh evaluations of agentic systems under pressure. The Cyber Defense Benchmark asks models to pinpoint exact timestamps of malicious events in raw Windows logs with no hints, exposing the gap between chat fluency and SOC analyst competence. A second paper introduces an execution environment that isolates private user data from prompt injection and other adversarial attacks on personal assistants. The third, SafetyALFRED, extends the ALFRED embodied benchmark with six categories of real-world hazards to test whether multimodal models plan safely before acting.