In multi-cloud IT environments, detailed information about the identity of each network user is more important than ever, because it serves as the key evidence helping teams ferret out unauthorized data access, security breaches, and privacy invasions. Moreover, identity-based user analytics are a central ingredient for today’s advanced security strategies like micro-segmentation, granular perimeter enforcement, and Zero Trust, which are known to make the network more resilient to attacks.
The problem is this: SD-WAN management portals don’t always provide this critical data. Here’s a guide to understanding the value of user analytics and why these details are an increasingly important element for both your security today and for your network automation tomorrow.
Identity is who you are, the way you are viewed by your organization, and the characteristics and behavior that define you. A common example of identity on a corporate network is a person’s name and email address stored in Microsoft Active Directory. It can also be a coded name, number, or password. Other sources of identity include the device name, location, time of day, the risk and trust of the user’s device, and even the application and data sensitivity being accessed.
These are primary ways of verifying that a person or user is who they say they are. This information is used for data governance and identity access management (IAM), which is a method for restricting information and network access based on the roles of individual users. When digital enterprises must provide secure information access based on the identity of a person or based on the identity of a device (or both), IAM delivers the information and methods for decision making at the source of the connection. Specific IAM technologies include centralized authentication, single-sign-on (SSO), session management, and authentication or authorization enforcement and are typically integrated into cloud applications and network services.
The concept of granularity helps explain why identity is now taking a central role in security strategies. This detailed information acts as a prerequisite for micro-segmentation, granular perimeter enforcement, and Zero Trust because it give IT teams:
All of this explains why user analytics are increasingly important according to Gartner’s “Magic Quadrant for Access Management,” which reported:
With more devices, services, and users to manage today, enterprises face more security risk, as these are targets for unauthorized access. Ineffective access management is risky for compliance (especially the increasing domestic and international privacy regulations) as well as security. Missing or poor access management can lead to damages from both external and internal threats. So, it’s clear to see why per-user analytics are sought-after security tools.
Security is such a hot topic today that IT leaders often miss the lesser known advantages of per-user analytics. As the data set that feeds network decision making and automated control, identity information is considered one prerequisite for intent-based networking policies and the autonomous (“self-driving”) networks. They serve as a foundational element for the future.
When autonomous networks (and their centralized management portals) include per-user analytics, you will be able to give the network your high-level business needs and it will “understand” your intent regarding identity access management and bandwidth priorities per user. Moreover, the network will be able to monitor itself and modify underlying actions in ways that tune itself to your changing needs–and all in real time. Network service providers aiming to deliver on autonomous networking are focused today on checking these boxes. They are incorporating all the data analytics features needed to lay each stepping stone on a path toward total autonomy. Masergy serves as one such company.
Masergy includes Identity-Based WAN Analytics in its comprehensive
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