This topic covers the tools, patterns and governance needed to make human‑like conversational and agentic AI systems safe, moderated and aligned with organizational and regulatory requirements. It spans AI security governance, AI governance platforms and regulatory‑compliance tooling used to limit harmful outputs, maintain auditability, and preserve data controls when deploying assistants and autonomous agents. Enterprise offerings and platforms illustrate the practical landscape: Anthropic’s Claude family provides conversational and developer assistants; Observe.AI focuses on contact‑center voice agents, real‑time agent assist and auto QA; IBM watsonx Assistant enables no‑code and developer‑driven virtual agents and multi‑agent orchestrations; Microsoft 365 Copilot embeds assistant capabilities across productivity apps; Yellow.ai builds agentic CX/EX assistants across channels; Cohere supplies private, customizable LLMs, embeddings and retrieval services; Duckie offers no‑code support agents that act on knowledge bases and system actions; Synthreo (formerly BotX) manages multi‑agent orchestration and enterprise connectors. Key trends reflected across these tools are relevant to safety and alignment: a move toward private/custom models and retrieval‑augmented grounding to reduce hallucinations and data leakage; real‑time moderation, agent QA and human‑in‑the‑loop interventions to intercept risky outputs; multi‑agent orchestration that increases the need for role‑based controls, provenance and reconciliation; and broad adoption of no‑code builders that raise governance and compliance requirements. For 2025 deployments, organizations should prioritize platforms with built‑in content filters, audit logs, explainability features, configurable guardrails and integration with compliance workflows. Selecting tools that balance customization, observability and human oversight is essential to operationalize safety and meet evolving regulatory expectations.