A new NIST analysis examines the persistent difficulty of securing AI systems against adversarial attacks. The report highlights a cycle where alignment fixes often create new vulnerabilities. This suggests that total robustness remains elusive. Practitioners must shift from seeking a final solution to implementing continuous, iterative monitoring of model behavior.