Using AI and machine learning, organizations can obtain additional visibility and insight into specific user access demands and dangers.

FREMONT, CA: It's no wonder that security professionals are on the lookout for a next-generation identity security solution that can help them meet the challenge of increasing productivity while lowering security risk. And with the proper solution in place, the company may become more secure and efficient, save money, and reduce irritation caused by inadequate policies and practices.

Here is a compilation of seven best practices to consider as one design the identity security plan to assist oneself.

1. Begin with the End in Mind

Like any significant company initiative, the first stage is to figure out where one wants to go. This entails matching the project's goals to the organization's larger strategic goals. One won't get there if he doesn't know where he is heading.

2. Remove Systems with a High Risk of Failure

Patch management, segmentation, encryption, integrations, and access requirements can be improved by retiring legacy systems and transitioning to a cloud service provider.

3. Review and Delete Orphaned Accounts Regularly

Orphaned accounts are a goldmine for hackers if they go undiscovered. These accounts can be used to collect credentials and eventually assume the identities of previous users, resulting in security breaches and assaults.

4. Automate Onboarding and Offboarding Processes

With an Identity Security solution in hand, companies can automate onboarding and offboarding processes, saving time and money for IT departments, increasing productivity by ensuring new employees have the access they need from day one, and reducing risk by quickly de-provisioning users as needed (such as when they leave or move to another department within the company).

5. Embrace a Zero Trust Approach to Security

According to the zero-trust approach, no person or program, whether inside or outside an organization's network, should be trusted unless their identity has been thoroughly validated. This is called the "never trust, always verify" philosophy.

AI and machine learning can also help organizations automate and streamline identification procedures and decisions, including access requests, role modeling, and access certifications, resulting in higher efficiencies. Businesses will need to choose an identity security solution to provide a consolidated picture of each user's identity.