
SaaS (News - Alert) applications are indispensable components of modern business operations. By providing cloud-based software as a service, SaaS all but eliminates the need for on-premise infrastructure and maintenance. A bonus for businesses because they gain access to powerful tools and applications at a fraction of the traditional cost.
From CRM and enterprise resource planning to human capital management and marketing automation, SaaS applications offer a wide range of functionalities that cater to diverse business needs. These applications often integrate with other systems, and SaaS providers typically offer regular updates and upgrades.
Unfortunately, the escalating reliance on SaaS applications introduced a new layer of complexity to data protection strategies. While these cloud-based solutions offer numerous benefits, they also present potential vulnerabilities that compromise sensitive information.
According to a survey conducted by Gatepoint Research for Keepit, 28% of respondents expressed a high level of confidence in their data protection measures. At the same time, though, almost a third of respondents admitted to moderate to severe lapses in their security protocols. This is concerning because it shows there is some disconnect between organizations' perceptions of their security posture and the reality of their vulnerabilities. And the widespread adoption of SaaS applications, such as Microsoft (News - Alert) 365, Salesforce and Power BI, further exacerbates this issue as critical data is increasingly stored and processed within these third-party environments.
As most are aware, breaches can lead to reputational damage, legal liabilities and operational disruptions. The sensitive nature of the data stored in SaaS applications, which often includes personally identifiable information, financial records and intellectual property, makes the consequences of a breach even more severe.
Organizations must prioritize a comprehensive and proactive approach to data protection. This includes conducting regular risk assessments, implementing access controls, encrypting sensitive data and staying informed about emerging threats and best practices.
By recognizing the inherent risks associated with SaaS applications and taking appropriate measures to mitigate them, organizations will safeguard their valuable data and minimize the potential consequences of a breach.
“Moderate confidence in SaaS data protection is not enough in today’s threat landscape,” said Paul Robichaux, Senior Product Director of Keepit and Microsoft MVP. “Organizations must ensure their data recovery processes are robust and regularly tested. Otherwise, they risk discovering weaknesses too late, when a disaster has already struck and they’re trying to recover.”
Another key point mentioned in the survey is that half of the respondents identified increased compliance requirements as a top concern, highlighting the escalating pressure to adhere to stringent regulations like NIS2 and DORA.
SaaS applications play a big role here because the volume of data they generate only exacerbates the complexity of managing and protecting this critical asset. The need to safeguard sensitive information while weaving through compliance landscapes is a difficult task that demands a more proactive approach.
“In the financial industry, for example, DORA requires that backup environments be segregated from production environments to reduce risk,” Robichaux added. “And we know that many organizations aren’t well-prepared to meet these requirements. The rising volume of data, combined with increasingly complex regulations, presents a significant challenge for many organizations.”
The challenges pointed out in the survey must be address. To do that, and to ensure the successful management of SaaS data, organizations must adopt a proactive approach (as mentioned before) that encompasses data governance, security, compliance and privacy. By investing in the right tools, processes and technologies, organizations will effectively manage their SaaS data and mitigate the risks associated with its use.
Edited by Alex Passett




