How does Kotlin handle concurrency correctness in shared mutable caches?

Kotlin requires explicit synchronization or concurrent data structures for shared caches.

Shared caches in Kotlin are not inherently thread-safe unless designed using ConcurrentHashMap, Mutex, or atomic updates. Improperly synchronized caches lead to race conditions, stale reads, and corruption. In high-scale systems, cache eviction policies and thread-safe structures are critical to maintain correctness under load.