What Is AI Agent Management? How to Govern, Scale, and Secure Your AI Agent Estate

Cloud security posture management (CSPM) continuously scans your cloud environments to find misconfigurations, risky permissions and compliance gaps before attackers do. As AI expands the cloud attack surface, CSPM has become the control layer that helps enterprises deploy AI with confidence.

Cloud backup is the process of copying data to an offsite cloud environment, so it can be restored after deletion, corruption, outages, ransomware, or disasters. A modern backup strategy should pair secure offsite copies with clear recovery objectives, testing, ransomware resilience, and coverage for the workloads your business depends on.

AI governance is the enforceable system of policies, controls, oversight, and accountability that helps organizations use AI safely, responsibly, and at scale. This guide explains the frameworks, stakeholders, best practices, Microsoft 365 considerations, implementation phases, tools, and emerging trends enterprises need to turn AI governance from policy into operational proof.

Zero trust for AI applies “never trust, always verify” to every layer of the AI estate: data, models, agents and infrastructure. Every entity is authenticated, authorized and continuously monitored under least privilege, with verification running at machine speed and every action recorded as immutable evidence.

AI model risk management, or AI-MRM, is the board-level discipline of identifying, measuring, monitoring, and controlling risk across the AI model lifecycle. It extends SR 11-7 principles to generative and agentic AI by adding controls such as drift detection, model tiering, and attestation, helping directors evaluate AI use cases with greater clarity and confidence.

AI data governance is the practice of controlling the data that trains, feeds and results from AI across every cloud. This guide answers what AI data governance is, how it differs from data governance and AI governance, and how a cross-cloud framework and best practices for Microsoft, Google and Salesforce let enterprises deploy AI with confidence.