For companies that deal with sensitive and classified data and information, whoever goes in, works there, or gets a contract must undergo rigorous identity verification. The goal is to ensure that only authorized people can access the facility, system, and other organizational resources.

Due to the rising fraud, lies, and impersonation cases, the verification process is now mandatory for major services and systems. To curb the results of such crimes, companies must enforce the most efficient, reliable, and effective identity verification system.

The identity verification process should be straightforward and effective at meeting its objectives and, therefore, the need for digitalization.

Unlike in the past, the new system should be based on eliminating biases, human error, and shortcomings. With such capabilities, you can use these systems for identity verification goals to allow system access, facility entry, employment, promotion, and other activities.

If you already have an existing system, there are some ways to improve it. This can also work for organizations creating new systems and security protocols.

1. Digitalize the Entire System

A good identity verification system must be fast, efficient, reliable, and secure. Creating a verification system that meets all these features should be a manageable challenge. For effectiveness and efficiency, work with experts who will help you diagnose the current systems and implement newer strategies to boost the system’s functionality.

With their help, you should integrate various technologies like cloud, virtual systems, biometrics, and cloud security strategies for success.  Regardless of the verification’s purpose, digitalizing all the operations help improve system users’ experience in various ways. First, they can quickly upload all the necessary information and get the verification results instantly. 

Besides the system users, you also stand a chance to gain a lot from the new system. Instead of spending on human labor, you can use the system as an effective cost-saving strategy. To achieve that, use RFID chips, barcodes, and tag numbers to identify those entering the facility. If you are worried about any errors, install multiple verification checkpoints to correct any system errors, and only the right people are let into the facility.

To achieve all these objectives, the entire identity verification process should be automated from the first to the last step. With a digitalized identity verification system, you can eliminate the biases and other key areas associated with human effort.

The process integrates biometrics, data analytics, machine learning systems, and other technologies to ensure accuracy and improved verification.

2. Making Identity Verification Robust

For many organizations, identity verification should mainly focus on documentation and simple measures like swiping a card. Notably, for organizations that rely on such simple approaches, the probability of risks arising due to poor identification verification is higher. Therefore, to avoid all the potential risks, make the process robust and rigorous. However, limit it to the key purpose of identity verification.

For instance, identity verification during employment should be one of the most robust processes focusing on academic credentials, work history, background, financial statements, and other issues like affiliations and travel tracing. This is essential for you to hire the right parties for the job to prevent issues like motivated data attacks or employees with ill motives. When hiring, the identity verification process should also be based on the nature of the job, data handled, and other key issues to help you expand the process.

For financial reasons and other activities, you should check previous financial transactions and audits, among other documents. Moreover, for bank loan issuance, these demands will help you abide by regulatory matters about key financial regulations.

3. Compliance with Regulatory Frameworks

Every organization has the right and freedom to create an internal identity verification framework to meet organizational data security needs and other concerns about dealing with the wrong people. However, this does not allow you to create an identity verification system that may violate certain laws. Therefore, to avoid lawsuits and other challenges, ensure the process is based on regulatory and legal frameworks.

Adopt policies enforced by major agencies to ensure compliance and avoid violations. For instance, apply major privacy laws to identity verification to avoid privacy violations. Next, follow the guidelines set by organizations like Interpol, World Bank, and IMF to comply with terrorism financing, money laundering, and other acts.

Besides the global and standards regulations, focus on specific regulations, i.e., the guidelines a country sets. When creating an identity verification system, ensure you follow and include all the policies employees and all the parties know. Create documentation to share with employees to help them familiarize themselves with the entire process and understand its necessity.

4. Multiple Identity Verification Processes

Authentication is an integral part of identity verification. Instead of a simple and one-stage process, you can include multiple layers of security for maximum safety. Despite having cards to swipe, the employees should also use thumbprints and other biometrics to verify their identity. The extent of multi-factor authentication should depend on the nature of the operation and the type of activities the individual is involved in.

Multi-factor authentication will be necessary for other systems like system access, work portals, and other online services. For mobile access, passwords and biometrics can be a good combination to grant access.

Additionally, for system access, a password coupled with mobile-based authentication through security codes and access apps will ensure an extra layer of security. Depending on the data security level, using systems like HSM, cloud security measures, and blockchain technologies can significantly help.

Bottomline

For effectiveness, ensure the entire process is digitalized to incorporate different technologies to make it fast and efficient. For accuracy, you should also consider multiple-factor authentication protocols to cover weaknesses in one of the verification measures.

An effective identity verification should be built based on collaboration with other agencies, systems, and databases to obtain all the relevant details.