In the aftermath of the COVID-19 pandemic, companies have responded by quickly switching to remote work. This has resulted in an increase in malicious actors’ phishing and social engineering attacks. In combination with user anxiety, remote work raises success rates for attacks involving credential theft, leaving the mission-critical systems and information of organizations at risk. The strategies given below will help enterprises secure their data in a remote work environment.
Start With Identity Management And Zero Trust Access Governance
Security analysts have consistently said that the perimeter is shifting away from traditional controls such as firewalls. For some organizations, the transition to a completely remote workforce due to the Coronavirus pandemic increases the value of access governance frameworks that protect data. When infected by malware, any of those devices used by staff when working remotely can lead to a system-wide attack.
To speed up security, companies need to find a way to shift towards a Zero Trust model, one that always verifies and never trusts. This ensures that all computers, users, apps, and data in the business are identified. For each of those groups, they can then work towards developing successful controls.
It may be easier for companies that have a mature cybersecurity strategy to identify individuals, devices, and data since that information is already included in risk assessments. To accelerate a Zero Trust policy and incorporate contextual factors such as location, time of day, and application to restrict user activity, organizations should take advantage of current identity and access controls.
Implement Adaptive Multi-Factor Authentication (MFA)
Organizations using adaptive MFA can add contextual controls to modules within applications. MFA acts as the key to unlocking app access, but even inside that access, companies need to have additional access management layers.
Organizations can use contexts to usher in inter-application MFA, for example, time of day or location. Instead of implicitly trusting them, by obtaining this additional authentication, adaptive MFA ensures that the users are who they say they are.
This increased degree of access protection eliminates the use of compromised credentials by malicious actors in the Software-as-a-Service (SaaS) environment of the company. Nevertheless, the additional layer of security that comes with the use of adaptive MFA through sensitive data and applications guarantees that the organization inserts another “gate” that needs to be opened, thereby securing the data by restricting abnormal access.
Apply Data Masking
Organizations also presume that encryption acts as an unfailing security technology. The data is threatened by an incorrect implementation or intruder capable of cracking the algorithm.
Another layer of security is added against stolen credentials by implementing data masking by incorporating contextual controls to restrict what information is available to a user. And when a cybercriminal gains access to an application, geographic location-based data masking protects sensitive data by making the confidential data ‘invisible’ to them.
Many businesses see data masking as a way to “protecting from over-the-shoulder” attacks when users are in public places. However, data masking can provide a much-needed extra degree of security, even with the almost entirely distant workforce.
Since companies are trying to secure data from attacks through social engineering, they need solutions that help protect the identity perimeter. If more businesses either shift to remote work as a precautionary measure for Coronavirus or to minimize costs in the longer term, adding additional security layers at the network level would no longer work.
There are data security solutions available that allow organizations to dramatically improve their processes of identity and access governance and protect their mission-critical ERP applications. They offer control and visibility, which in traditional ERP applications such as PeopleSoft and SAP are fundamentally lacking. Using these data management strategies, companies may create contextual access policies and fine-grained data security controls and monitor user access as a way to avoid potential credential theft.