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Software as a Service (SaaS) is a cost-efficient software solution that millions of professionals use every day. Modern organizations utilize an average of 106 SaaS applications, according to a 2025 report from BetterCloud. Yet many get forgotten and neglected, which exacerbates security vulnerabilities.
The widespread growth of SaaS products has introduced unprecedented convenience and scalability. However, it also creates security complexities that demand strategic attention from CISOs and cybersecurity leaders worldwide. The recent MOVEit breach that affected thousands of organizations through a single SaaS vulnerability demonstrates how quickly cloud-based risks can cascade across entire business ecosystems.
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What Is SaaS?
SaaS is a cloud-based software delivery model where applications are hosted by a provider and accessed online through web browsers or mobile apps. Users pay subscription fees on a monthly or yearly basis to access these applications without needing to install or maintain software on their local systems. The provider handles all infrastructure management, software updates, security patches, and system maintenance behind the scenes.
Popular examples include Microsoft 365 for productivity suites and Salesforce for customer relationship management. These platforms allow users to access their applications and data from anywhere with an internet connection. The model has revolutionized how businesses consume software by eliminating upfront licensing costs and reducing IT overhead.
From a cybersecurity perspective, SaaS applications require specialized security controls to protect sensitive data stored in third-party environments. Organizations must implement proper access management, data classification, and monitoring solutions to maintain visibility and control over their cloud-based assets. The security implications require careful consideration, as the convenience SaaS offers creates a shared responsibility model that many organizations misunderstand.
“SaaS application vendors build in a fair amount of security in their solutions,” says Vamsi Koduru, Product Manager at Proofpoint. But customers remain accountable for properly configuring access controls, managing user permissions, and protecting sensitive data within these applications. Koduru warns that “When a SaaS data compromise occurs ... it’s important to recognize that there is shared responsibility between cloud providers and their customers, and there are best practices that can be applied to minimize the risks associated with SaaS applications.”
Without proper data governance, SaaS environments can become prime targets for cyber criminals seeking to exploit weak authentication, misconfigured permissions, or inadequate data loss prevention controls.
How Does SaaS Work?
Think of SaaS like streaming Netflix instead of buying DVDs. Rather than purchasing and installing software on every employee’s computer, your team accesses applications through their web browsers from anywhere with internet connectivity. The magic happens in the provider’s data centers, where powerful servers host the software and process your requests in real time.
The delivery process follows a straightforward path: users log into their accounts through a web interface, their requests travel over secure internet connections to the provider’s infrastructure, and the software responds instantly. This means your accounting team can access the same financial application whether they’re working from headquarters in Tokyo or remotely from São Paulo. The provider’s servers handle all the heavy computing while your devices simply display the interface.
The elimination of local installations transforms IT operations completely. Your security team no longer worries about patch management across hundreds of endpoints or compatibility issues between different operating systems. Updates happen automatically in the cloud, and new features roll out simultaneously to all users without any downtime or maintenance windows. This approach reduces both cybersecurity vulnerabilities and the administrative burden on your IT staff.
For newcomers to cloud computing, imagine the difference between owning a car and using rideshare services. SaaS lets you access enterprise-grade software without the ownership responsibilities of servers, licenses, or technical maintenance.
Key Characteristics of SaaS
Understanding SaaS features helps security leaders evaluate cloud applications and build appropriate protection strategies. These characteristics distinguish SaaS from traditional software models and create both opportunities and challenges for enterprise cybersecurity.
Each feature impacts how organizations approach data governance, access controls, and risk management. The main features of SaaS include:
- On-demand access: Instant application access through web browsers without installation delays
- Subscription model: Predictable monthly or yearly pricing instead of massive upfront costs
- Automatic updates: Providers handle patches and maintenance without customer downtime
- Scalability: Add or remove users and features instantly based on business needs
- Multi-tenancy: Shared infrastructure with strict data isolation between customers
- Global accessibility: Work from anywhere with internet connectivity and any device
- Shared security responsibility: Providers secure infrastructure while customers manage access and data
Understanding SaaS features helps security leaders evaluate cloud applications and build appropriate protection strategies.
Examples of SaaS Applications
Walk into any modern office and you’ll witness the SaaS revolution firsthand. Employees seamlessly switch between cloud applications without thinking twice about where their data lives or how the software gets updated. This shift has created both incredible efficiency gains and new security blind spots that keep CISOs awake at night.
Productivity Applications
These apps have become the digital workspace foundation for millions of knowledge workers. Microsoft 365 and Google Workspace handle everything from email and document creation to real-time collaboration across continents. A marketing team in London can edit the same presentation simultaneously with colleagues in Singapore, but this convenience means sensitive corporate documents now flow through third-party servers beyond traditional security perimeters.
Customer Relationship Management (CRM)
CRM platforms like Salesforce and HubSpot store the crown jewels of most businesses: customer data and sales intelligence. These systems track every interaction, conversation, and transaction with prospects and clients. When a major CRM provider experiences a breach, the ripple effects can expose years of confidential business relationships and competitive insights.
Collaboration Tools
Collaboration platforms such as Slack and Zoom have redefined how teams communicate and share information. These platforms carry intimate business conversations, strategic planning sessions, and confidential project discussions. Security teams often discover that employees casually share screenshots of sensitive data in chat channels or record meetings containing proprietary information without considering the compliance implications.
Cybersecurity Solutions
Proofpoint Email Protection and CrowdStrike Falcon represent the ultimate irony: cloud-based tools that protect against cloud security threats. These applications process massive amounts of security telemetry and threat intelligence to defend organizations from sophisticated attacks. The meta-challenge lies in securing the very platforms designed to provide security.
IaaS vs. PaaS vs. SaaS
Cloud computing operates on a spectrum of responsibility sharing between providers and customers. Understanding where SaaS fits among Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) helps security teams determine their obligations and risk exposure. Each model shifts different layers of the technology stack to the cloud provider.
Model
What It Is
Examples
IaaS
Raw computing infrastructure, including servers, storage, and networking. Customer manages operating systems, applications, and data.
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
PaaS
Development platform with operating systems, databases, and runtime environments. Customer manages applications and data only.
Heroku, Google App Engine, Microsoft Azure App Service
SaaS
Complete software applications delivered over the internet. Provider manages everything except user access and data governance.
Microsoft 365, Salesforce, Slack, Zoom
Model
IaaS
What It Is
Raw computing infrastructure, including servers, storage, and networking. Customer manages operating systems, applications, and data.
Examples
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
Model
PaaS
What It Is
Development platform with operating systems, databases, and runtime environments. Customer manages applications and data only.
Examples
Heroku, Google App Engine, Microsoft Azure App Service
Model
SaaS
What It Is
Complete software applications delivered over the internet. Provider manages everything except user access and data governance.
Examples
Microsoft 365, Salesforce, Slack, Zoom
The responsibility boundary shifts dramatically across these models. IaaS customers handle security from the operating system up, while PaaS users focus on application-level protections. SaaS customers primarily manage user access controls and data classification. This progression means SaaS offers the least control but also the smallest security burden for internal IT teams.
For cybersecurity professionals, SaaS represents both the highest convenience and the greatest trust exercise. You’re essentially handing your data to a third party and hoping their security measures exceed what you could implement internally.
Advantages of SaaS
SaaS keeps growing because teams see real value in the model. In 2025, Gartner predicts businesses worldwide will invest $300 billion in SaaS products. That’s nearly a 20% year-over-year gain from $250.8 billion in 2024. SaaS is king over conventional software solutions for many reasons:
- Cost-effective: Predictable subscriptions replace capital outlays for servers and perpetual licenses. Finance leaders stay agile because spend scales with usage, not hardware refresh cycles.
- Accessibility and flexibility: Staff reach the same workspace from a café in Nairobi or a home office in Toronto. Secure browser access supports hybrid work without complex VPN rollouts.
- Quick deployment: New teams go live in hours. A regional sales office can pilot a CRM before lunch and roll it to the whole territory by Friday.
- Scalability: Seats, storage, and advanced features expand or contract with business demand. This elasticity suits seasonal retailers and high-growth start-ups alike.
- Continuous updates: Providers roll out new security patches and features in the background. Users start the day with fresh capabilities and fewer vulnerabilities.
- Reduced IT burden: Internal staff focus on strategy and threat hunting because vendors own backups, uptime, and infrastructure tuning. This shift frees scarce talent for higher-value work.
Risks and Challenges of SaaS
Global security teams have fully embraced third-party threats like SaaS, yet the model carries real exposure. Recent reports show that almost a third (31%) of global organizations suffer SaaS data breaches.
As highlighted in Verizon’s 2025 Data Breach Investigations Report (DBIR), “On the more hands-off side of third-party relationships, we find a proliferation of specialized software as a service (SaaS) providers supporting specific industries and automating some of their critical processes.”
“And although those can be beneficial from a cost-reduction and business efficiency analysis, they bring the Venn diagram overlap of cybersecurity risk and operational risk uncomfortably close to a single circle.” This warning signals a common thread that convenience does not erase risk.
- Data security and privacy: Customer data lives on third-party servers, so breaches inside the provider’s environment can land on headline news. Encryption, strong IAM, and continuous monitoring close gaps that you no longer control physically.
- Regulatory compliance: Rules like GDPR, CCPA, and Singapore PDPA still apply when data crosses borders. Teams must map where information sits and demand audit evidence from providers.
- Vendor lock-in: Switching costs grow as workflows, data models, and integrations sink roots into one platform. Contract clauses covering exit migration and data portability reduce future pain.
- Customization limits: SaaS releases follow a shared roadmap, not your bespoke wishes. Security teams sometimes work around rigid settings by layering CASB or API-driven controls.
- Internet dependence: A fiber cut in Nairobi or a regional BGP issue can freeze operations in minutes. Resilient connectivity plans and offline contingencies keep core processes alive.
- Shadow IT sprawl: Staff can spin up apps with a credit card, bypassing security review. Centralized discovery tools and strict SSO policies rein in the chaos.
- Shared responsibility gaps: Providers secure infrastructure, yet customers own data and access. Clear RACI matrices and regular tabletop exercises make sure tasks never slip through the cracks.
Each challenge reaffirms the need for a SaaS security blueprint: classify data, enforce least-privilege access, log everything, and pressure vendors for transparent controls.
Securing SaaS Applications
What security risks come with SaaS? The short answer is shared accountability. A provider locks down the physical stack, while your team owns identities, data, and policy enforcement. The 2025 CSA State of SaaS Security survey shows that SaaS security is now a top priority for 86% of organizations, with 76% increasing budgets.
Strong controls begin with identity. Single sign-on plus multifactor authentication (MFA) shuts the door on stolen credentials, which the Verizon DBIR links to half of all SaaS breaches this year. Data should travel only through encrypted channels and rest in encrypted stores. Continuous logging and behavioral monitoring catch the lateral moves that slip past perimeter tools.
How do you secure SaaS applications? Many teams layer a cloud access security broker to impose granular policies, while DLP engines watch for sensitive data leaving approved zones. Newer DSPM platforms map every object across multi-cloud estates and flag exposure paths in minutes instead of days. Proofpoint folds these pillars into a unified view: CASB for session controls, enterprise DLP for content inspection, and threat intelligence that blocks advanced email-to-SaaS attacks before they land.
Additionally, teams now add SaaS Security Posture Management (SSPM) to this mix. SSPM platforms scan each tenant for risky settings, stale privileges, and exposed data shares, then guide fast remediation. They sit beside CASB for real-time session control, DLP for content inspection, and DSPM for cross-cloud mapping. Proofpoint unifies these signals, so security staff see misconfigurations, data loss events, and threat activity in one console instead of three.
Controls mean little without clear ownership. RACI (Responsible, Accountable, Consulted, and Informed) charts that define who patches what, who reviews logs, and who tests backups keep small gaps from turning into breach headlines. The lesson from every SaaS incident story is simple: trust your provider but verify your part of the deal.
What Is the Future of SaaS?
As SaaS continues to evolve, organizations will increasingly integrate AI, shift toward vertical-specific solutions, adopt zero-trust security, and face an ever-changing regulatory landscape. These trends highlight the necessity of advanced SaaS protection measures.
- AI integration: “AI is disrupting SaaS, creating upsides and downsides,” reports Bain & Company. “Leaders, such as Intercom and Salesforce, are already shifting in this direction.” AI agents will draft content, triage support tickets, and spot risky user behavior in real time. Security leaders must vet how each model ingests data and where prompts are stored.
- Vertical SaaS: Sector-specific clouds, such as health-tech, legal-tech, and fintech, are growing rapidly compared to horizontal suites. Deep domain logic meets built-in compliance for HIPAA, PCI, or regional privacy codes. That depth means tighter vendor assessments: you inherit every misinterpretation of an industry rule.
- Zero-trust security: According to Proofpoint’s Latest Cybersecurity Trends in 2025, “Cloud computing, mobile, and zero-trust were just the buzzwords of the day, but now they are very much a part of the fabric of how organizations do business. The latest cybersecurity trend in 2025 revolves around AI technologies, and especially Generative AI, which are being scrutinized more from a buyer’s perspective, with many considering them a third-party risk.”
- Regulatory changes: The EU’s NIS 2 directive and India’s Digital Personal Data Protection Act widen breach-reporting clocks and levy heavier fines. SaaS contracts must now spell out data residency, audit rights, and incident-response SLAs in plain language.
Tomorrow’s SaaS stack will feel smarter, more specialized, and far less forgiving of weak controls. Building security into selection, onboarding, and daily operations remains the only sustainable path.
How Proofpoint Can Help
Proofpoint SaaS Protection combines threat intelligence, data-loss prevention, third-party app control, and risk-based response in one cloud-native platform, giving security teams the unified visibility and automated controls that a modern SaaS estate demands. A complimentary SaaS risk assessment lets you pinpoint misconfigurations and shadow apps before attackers do, so you can embrace cloud speed without sacrificing security or compliance. Contact Proofpoint to learn more.
SaaS FAQ
Is SaaS the same as cloud computing?
Not quite. Cloud computing is the umbrella term for on-demand IT resources delivered over the internet, like servers, databases, development platforms, and finished applications. Software-as-a-Service (SaaS) sits at the top of that stack: you consume the software itself, while the provider hides every layer of plumbing underneath.
What are the benefits and drawbacks of SaaS?
On the upside, you trade capital expense for subscription fees, deploy in hours, and let someone else patch and scale the stack. The downside is ceding control. Your data lives on third-party servers, custom tweaks follow a shared roadmap, and a service outage or vendor exit can stall operations.
How does SaaS differ from traditional software?
Traditional software ships as code you install, patch, and secure on your own hardware. SaaS flips that model. You access the tool through a browser, updates appear overnight, and your team focuses on configuration and governance rather than kernel versions and uptime.
Can SaaS be used for cybersecurity tools?
Absolutely. Many modern defenses, from email security to endpoint telemetry, run as SaaS so they can ingest global threat data and push protections in real time. Proofpoint SaaS Protection is one example, folding threat intel, DLP, and third-party app control into a single cloud console.
What security risks come with SaaS?
The big three are data exposure, credential abuse, and misconfiguration. Data exposure happens when sensitive files sit in open shares. Credential abuse spikes when attackers harvest OAuth tokens or reuse passwords. Misconfigurations, like over-broad permissions, idle admin accounts, turn small oversights into breach headlines. Shared-responsibility charts, MFA, and SaaS Security Posture Management shrink that risk surface.
How does SaaS pricing work?
Most vendors bill per user, per month, often in tiered bundles tied to features or storage. You pay only for active licenses and scale up or down as projects evolve. Watch for add-ons (API calls, premium support, extra retention) that can nudge real costs above the headline rate.