AI Market Surveillance & Compliance Tools for Crypto Exchanges covers the integration of machine learning, large language models, and workflow orchestration to detect market abuse, financial crime, and regulatory risks across on‑chain and off‑chain data. As of 2026, intensified global enforcement, faster settlement windows, and broader adoption of tokenized assets have pushed exchanges to adopt real‑time surveillance, explainable AI, and auditable model governance. Key functions include transaction and order‑book anomaly detection, cross‑market pattern recognition, sanctions and KYC screening, alert prioritization, and automated case management. Tools fall into three practical categories: Regulatory Compliance Tools (rule engines, AML/KYC pipelines), Market Intelligence Tools (embeddings, multimodal analytics, news and chart synthesis), and AI Governance Tools (observability, audit trails, model risk controls). Representative platform roles: Cohere provides enterprise LLMs, private embeddings, and retrieval for building secure alert‑triage and investigative search; Google Gemini (via Vertex AI) supplies multimodal analysis to correlate time‑series market data, news, and legal documents; Kore.ai enables governance‑aware, multi‑agent orchestration and observability for end‑to‑end workflows from detection to disposition; Anakin.ai offers no‑code automation and batch processing for rapid deployment of custom surveillance apps and document search. Deployments should balance latency, data sovereignty, and explainability: private models and on‑prem or cloud controls help meet jurisdictional requirements, while observability and audit logs support regulatory inquiries. The current trend favors composable stacks—embeddings + multimodal models + orchestrated agents—backed by clear AI governance to reduce false positives and provide defensible compliance outcomes.