SaaS Sprawl Is Driving Up Costs and Risk as Enterprises Struggle to Control Cloud Apps

Biju Unni, Vice President at Cloud Box Technologies, explains how unchecked SaaS adoption creates redundant applications, data silos and security risks, and why enterprises need smarter governance and consolidation strategies without compromising employee productivity.

How serious has SaaS sprawl become for enterprises, and what are its biggest operational challenges?
Over time, modern enterprises end up using too many cloud applications thanks to their friction-free sign-ups, lucrative single-purpose use cases, and less complicated oversight compared to traditional on-premises software. What started as tools to address certain business problems end up becoming part of a fractured technology environment, often housing untracked duplicate subscriptions, incompatible tools, and interoperable systems taking a toll on IT teams.

SaaS sprawl is at an all-time high, and for good reason. It can lead to excessive spending and security issues, ultimately undermining the flexibility these tools were meant to provide. When SaaS applications cannot integrate with other tools, they tend to trap data and create silos, which can jeopardize the core business functions they were intended to support.

How can organizations identify redundant, overlapping or underutilized SaaS applications?
Identifying SaaS applications in an enterprise requires a multi-layered approach. For starters, each team should maintain an inventory of tools they use, whether daily, occasionally or rarely. Accounts and procurement teams need to track credit card statements, purchase orders, and other corporate systems to analyze applications bought, licensed, used, owned, etc.

Additionally, understanding data usage, network traffic, and license utilization can provide insights into which applications are used, especially those with single-purpose use cases or applications that serve the same business purpose. This approach enables enterprises to make data-driven decisions regarding the rationalization of applications, license claims, and other choices, rather than relying solely on license costs. It is particularly useful for identifying underutilized, overlapping, or redundant applications within the company’s IT ecosystem.

What are the biggest security and compliance risks created by uncontrolled SaaS adoption?
Thanks to the ease of SaaS adoption, buying and using them is just a matter of clicks. However, it is also true that too many SaaS applications may often go out of control and pose a potential cybersecurity risk due to a larger attack surface. Usually, employees upload critical and private data to this software, and without vetted enterprise-grade encryption. This means this data can be exposed to prying eyes, proving detrimental to an enterprise’s reputation and financials.

The lack of a centralized identity integration means former employees may still have access to these SaaS tools, further increasing the impact of attacks. Also, SaaS applications may not comply with data sovereignty laws and regulations such as GDPR, UAE Data Protection Laws, etc., which can incur hefty fines and legal liability for non-compliance. Thus, it is critical to keep SaaS applications in check and to abide by regulatory and compliance laws at all times.

How can IT teams balance employee demand for specialized tools with the need for greater application control?
The answer is to act as a strategic enabler for technology rather than putting a blanket ban on all software. IT teams should understand that some specialized SaaS tools enhance productivity, and it’s where the approval process can be applied. For instance, they must understand how the tool processes data, where it is stored, how encryption and access control work, and evaluate the security, privacy, compliance, and data ownership among other verticals.

It is essential to recognize that low-risk, less productive tools with minimal company data ingestion should not undergo the same level of scrutiny as sensitive applications. This understanding helps in accelerating the adoption process. The aim is to ensure SaaS applications are vetted properly when they are subscribed to or purchased, promising value and accountability at its core.

Is SaaS consolidation becoming a strategic priority for CIOs, and what should enterprises consider before retiring applications?
SaaS consolidation has become pivotal for CIOs as a strategic move towards lowering risk and expenditure. However, it shouldn’t become an exercise to cut back on SaaS applications once the portfolio matures, but rather should revolve around careful evaluation and impact analysis before certain apps can be decommissioned.

For CIOs, the approach should be to understand how these applications are tied to the organization and business dependencies. They must understand how consolidation of applications can affect business operations and whether it will disrupt and create unwanted gaps.

It is also critical to evaluate how data from these applications will be exported, stored, processed, sanitized, and imported into existing applications without causing compliance issues. Perhaps it isn’t about retiring the number of applications but cutting down on unwanted applications based on rationalization and careful analysis of the existing ecosystem.

What practical steps can organizations take to reduce SaaS sprawl without affecting employee productivity or business operations?
Practically, it can be disastrous to decommission applications purely based on non-approvals and ad hoc or impulsive subscriptions. Rather, an analytical program to evaluate SaaS applications, their capabilities and usage should be taken into consideration to make a well-informed decision.

For this, IT teams will have to ensure a regular governance program that looks into inventory management of SaaS tools across departments. Check for obvious duplications, underutilization, and applications that can be consolidated to break free from data silos. It is important to standardize the approach towards integrating existing and new applications rather than imposing restrictions that can backfire.

Essentially, IT teams should understand department-wise requirements, use cases, and business requirements to make better decisions that ensure smoother workflows and avoid unnecessary disruptions. All this can effectively reduce SaaS sprawl without the team losing productivity amid unnecessary evaluations, downtime, and disruption.