Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Identities in the modern enterprise are increasingly less human and more autonomous, powered by the rise in AI agents, APIs and other non-human identities (NHIs). The result is often an entitlement sprawl, where operations take place without human oversight and with privileged access. This non-linear evolution has meant many businesses have had to respond using bolted-on tools, rather than one unified, enterprise-grade platform.

AI agent authentication is the process of verifying that an autonomous agent is the identity it claims to be before it interacts with infrastructure, applications, APIs, or data. Because agents often act on behalf of users, services, or workflows, authentication must be paired with delegated context and downstream authorization controls that determine what the agent is allowed to do, which resource it can access, and how long that access should last.

Over 300 million people rely on Microsoft Teams to get their work done every day. That’s a lot of messages, meetings and “you’re on mute” moments happening every day. Teams makes it easy to collaborate. Too easy, sometimes. Anyone can create a new channel, add users and start sharing files in minutes. That’s great for getting work done, but it’s also how things get out of control. If you manage Teams, you’ve probably seen this happen.

AI governance tools help organizations manage model risk, enforce compliance policies, and control what AI systems can do.

ServiceNow is core to many modern businesses. The platform is cloud-based, AI-first and centralized. As the operational center of the enterprise, ServiceNow offers IT leaders automation opportunities that help optimize workflows, track requests and enforce processes. Naturally, managing so many actions within one ecosystem calls for advanced identity governance and administration (IGA).

Privileged Access Management (PAM) has become a cornerstone of enterprise security, but the environments it protects have changed dramatically. Organizations now manage cloud infrastructure, SaaS applications, remote workforces, third-party vendors, machine identities, and AI-driven workloads that constantly request privileged access. Security teams need to verify every identity, understand the context of each request, and grant only the minimum level of access required.

Dynamic access management replaces long-lived permissions with access that adapts to the user, task, resource, and level of risk. This guide explains how dynamic access decisions work, how they differ from traditional role-based models, and where they provide the most value across production environments, cloud infrastructure, databases, and machine identities.