IAM (identity and access management) is a set of organizational rules, procedures, and technology that make handling electronic or digital identities easier. Using an IAM architecture, IT managers may control user access to critical information within their organizations. IAM solutions include single sign-on, two-factor authentication, multifactor authentication, and privileged access management, to name a few. These technologies also enable the secure storing of identity and profile data and data governance features that ensure that only necessary and relevant information is shared.

Some of the important characteristics of identity access management are:

Prepared for New Security Trends

Cybersecurity and IAM trends are constantly changing. Current patterns might be considered as indicators of greater changes to come, from the gradual extinction of passwords to the rising use of zero-trust security. Enterprises will require adaptive, responsive IAM solutions as new devices join the market and users begin to access systems in new and varied ways. As a result, while selecting identity management software, flexibility is crucial. Not only must solutions be able to meet today’s business needs, but they must also be able to meet future enterprise access requirements. This includes IAM protection for changing user access patterns and technology, as well as the sensitivity to recognize and guard against new risks.

Eliminating weak passwords

Over 80% of data breaches are caused by stolen, default, or weak passwords, according to studies. IAM solutions enforce best practices in credential management, effectively eliminating the danger of users using default or weak passwords. They also make sure that users change their passwords on a regular basis. Insider threats—insiders are causing an increasing number of breaches. IAM can help to prevent the damage caused by malevolent insiders by ensuring that people only have access to the systems they need and that privileges cannot be escalated without oversight.

Integration and compatibility

Any new software that is introduced into an enterprise system has the potential to cause platform conflicts. To ensure compatibility and avoid potential difficulties caused by ineffective access management, IAM systems must be verified. If a disagreement arises, a new approach may be required. Alternatively, current systems may need to be upgraded to embrace newer IAM technology and close security flaws common in legacy systems. Another crucial factor to consider is relevance. More than just supporting a specific sort of login method or sending security alerts to the IT department is required for identity and access management solutions.

Access Control that is Mobile-Friendly

The quantity of user-owned devices accessing corporate networks is still a challenge for companies. These devices pose serious security risks, especially in the hands of employees who are unfamiliar with security best practices. While staff education is still critical to any cybersecurity plan, identity management solutions can help to limit vulnerabilities by enabling detailed behavioral and contextual access control. The ability to utilize a mobile device “anywhere, anytime” involves the implementation of secure access parameters.

Analytical Reporting

Many enterprise systems, including identity management, rely on analytics. Identity analytics show how people access and interact with networks, which is useful for defining roles and fine-tuning access regulations. Any weaknesses or possible dangers that are discovered can be addressed right away. Analytics demonstrates direct relationships between user identities and security events when it comes to breach activities. This information can be used by businesses to improve security frameworks and address issues such as employee ignorance and malicious insider threats. Because preventing a breach is less expensive than repairing the damage after one, using analytics in this way can be a substantial cost-cutting tool.

The realm of identity and access management has dramatically increased as remote work has become the standard and mobile device usage has reached its peak. Unsecured networks, combined with high user expectations, resulting in an influx of new device connections, a frenzy of demands for remote access to sensitive data, and the looming possibility of phishing and other web-based assaults as users visit rogue sites. Since AI has the potential to discover patterns and develop knowledge exponentially at the same rate as risk it will be critical in the future of IAM.