Steven Tamm is a technology adviser to Spin.AI and a former Salesforce CTO with extensive experience in cloud computing, e-commerce, virtualization, developer tools, cybersecurity, compliance and SaaS. <\/p>\n
Managing security across multiple SaaS cloud deployments is becoming more challenging as the number of zero-day and ransomware attacks continues to rise. In fact, recent research reveals that a staggering 76% of organizations fell victim to a ransomware attack in the past year. <\/p>\n
Its no secret that protecting data is hard, and with the rise of cloud technologies, its becoming harder. But when it comes to cloud SaaS application risk, what does that look like? And what actionable steps can teams and IT pros take to help mitigate those risks at their organization? In this article, Im going to explore those questions and provide some insights. <\/p>\n
Modern organizations encounter a variety of SaaS challenges, including the absence of configuration standards, multiple APIs, and user interfaces (UIs) with varying access levels and potential data leaks across interconnected systems. Securing structured data in CRM applications, communication data in messaging platforms, and unstructured data from file providers is already difficult. <\/p>\n
However, when these systems are sourced from different vendors, it becomes even more challenging to detect and prevent attacks in a timely manner. The interconnected nature of these systems makes tracking data provenance difficult and facilitates broad spread of malware and ransomware. <\/p>\n
This challenge is further exacerbated when organizations extend their systems to include external users. With expanding footprints, the inadvertent leakage or destruction of sensitive data becomes a significant concern. Popular platforms like Salesforce Communities, Slack Connect, Microsoft Teams, Microsoft 365, and Google Drive create a complex web of identity, permissions, and integration controls. <\/p>\n
Unfortunately, most endpoint management tools on the market were designed for a pre-cloud, pre-bring-your-own-device (BYOD) era, making them inadequate for managing the modern SaaS landscape. So how do you take control? <\/p>\n
When managing risk in the cloud, its crucial to select IT and security solutions that truly address the intricacies of the deployed SaaS applications and were born 100% in the cloud without any legacy on-premises components. The good news is that vendors are developing innovative solutions to help IT and security teams do this. But its essential to explore the options and consider the following: <\/p>\n
First, do they go beyond basic factors such as OAuth scopes, login IP addresses, and high-level scores, and instead delve deeper into data usage patterns and even examine the code of all integrations? <\/p>\n
Second, many major SaaS vendors provide event monitoring, antivirus protection, and basic data leak prevention as check boxes. But these features often fall short when it comes to preventing and remediating data attacks because of miscalibrated thresholds in alert systems and logs that are not tuned for specific organizations. That results in alert overload and fatigue. Its important to understand how a solution improves risk scoring and alert prioritization. <\/p>\n
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Strengthening security in a multi-SaaS cloud environment - TechCrunch<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Steven Tamm is a technology adviser to Spin.AI and a former Salesforce CTO with extensive experience in cloud computing, e-commerce, virtualization, developer tools, cybersecurity, compliance and SaaS. Managing security across multiple SaaS cloud deployments is becoming more challenging as the number of zero-day and ransomware attacks continues to rise Continue reading