Software as a Service (SaaS) solutions have become incredibly popular in recent years. Industries who had previously been hesitant to adopt SaaS models were propelled to do so by COVID-19. However, the growing use of SaaS software has exposed many enterprises to security problems.
Even a little configuration error or the failure to secure user permission might provide entry points for hackers and scammers, which is a serious problem. Even while CISOs and security teams are working around the clock to secure enterprises’ apps and data, these efforts are proving ineffective.
According to 63 percent of respondents in a recent Cloud Security Alliance (CSA) research, the rise in security incidents can be attributed to SaaS misconfiguration. Ninety percent of respondents in an O’Reilly research from 2021 say they use cloud computing services like Software-as-a-Service (SaaS). As a result, there are now thousands of customer roles, hundreds of global settings, and rights for configuring, monitoring, and routine updating. The likelihood of exploitable misconfigurations has considerably increased as a result of the large number of programmes that run continuously and receive regular updates.
Organizations must therefore take the necessary steps to comprehend and address the complicated threat environment that surrounds the SaaS security of the business.
It is essential for SaaS security that nobody access corporate data without the security team’s knowledge and approval. Security personnel have been suffering as a result of their responsibility for maintaining control over changing business data. The difficulties will increase with the addition of SaaS applications and numerous customizations. Organizations should therefore locate any materials that are open to the public, including discussions, forms, dashboards, and other data elements. If the security teams discover any vulnerabilities, they should act right once to fix them in order to prevent a data breach and take the necessary safety precautions to maintain control over the organization’s data.