Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managing JD Edwards user access by hand quickly becomes a hardship, especially as your team grows and roles shift constantly. You end up with deprovisioning that drags on for weeks, role assignments that don't match job descriptions, and audit trails scattered across emails and spreadsheets. These aren't one-off problems. They happen predictably when manual processes try to handle enterprise-scale demands in a fast-moving business environment.

The most common first move in a modern cyberattack isn't a zero-day exploit or a piece of custom malware. It's a username and a password. Attackers know that credential theft is the fastest path into an enterprise network. And when an organization implements Single Sign-On (SSO), that path gets shorter. One stolen credential equals access to dozens of applications.

Cybercrime is costing the world $10.5 trillion in 2025, and it’s not going to get better any time soon. Cybercriminals are exploiting vulnerable access controls, making identity the new parameter for security breaches. This is creating hurdles for the enterprises in protecting user access across several devices, applications, and cloud infrastructures. Handling data for multiple users while maintaining a flawless user experience can be hectic for the IT teams.

In 2026, the stakes around identity security are higher than ever, and choosing the right multi-factor authentication (MFA) provider can directly influence how resilient your organization is against modern attacks. Cybercriminals are increasingly bypassing weak or legacy authentication using phishing, credential stuffing, and social engineering, which makes static passwords alone effectively obsolete.

A few years ago, during a routine investigation after a phishing incident, the security team believed the damage was contained. During the attack, one employee’s laptop was compromised. The security team removed the malware and the password was reset. But the next morning, when analysts started reviewing authentication logs, something odd appeared. The same compromised account had logged into three internal servers overnight. Then a database server. Then a backup controller.

For years, cybersecurity relied on a secure network perimeter, where users were trusted once inside. This approach was effective when everything was contained in a controlled environment, but it no longer works today. Modern organizations operate across cloud platforms, SaaS, mobile devices, and distributed teams. Employees and partners connect from various locations while APIs exchange data. As a result, the traditional network boundary no longer exists.

If you’re using an Identity and Access Management (IAM) solution for safeguarding employee and customer accounts, then you must know about the IAM security risks. This is to account for the possible gaps and work on them. Identity security risks are no longer limited to not meeting checklists, but have shifted to a dynamic approach. A continuous, real-time, and risk-based approach is the new norm.

Consider this: Your employees log in through Azure AD. Your contractors use Google. Your vendors authenticate via Okta. Your JSM customers are on AWS Cognito. Four identity systems. One Atlassian instance. And natively, only one identity provider is allowed. That is not a configuration oversight, it is a hard limit built into Atlassian Cloud.

Most organizations don’t struggle with managing devices in the beginning. A few laptops, some smartphones and tablets, everything feels under control. The problem starts when things scale. More devices get added. Teams start working remotely. Different operating systems and use cases come into play. Over time, it becomes harder to track what’s connected, what’s updated, and what’s secure. That’s when endpoint management stops being optional.

As Shopify stores scale, product visibility needs to be more controlled; merchants handling different customer types often prefer not to expose products to everyone. Whether you’re managing B2B catalogs or exclusive offerings, the ability to restrict products by customer tags in Shopify becomes essential. While customer tags are useful for categorization, Shopify doesn’t provide built-in functionality to link those tags with product visibility.