The fast pace of digital transformation has made Platform-as-a-Service (PaaS) indispensable for enterprises looking to move faster without reinventing the wheel. From Salesforce to ServiceNow, these platforms give developers powerful tools to build, deploy, and scale applications in the cloud. But as adoption grows, so does the data security risk.
In this blog, we explore what PaaS really means, how ServiceNow fits in, and the vulnerabilities organizations need to watch for in this evolving ecosystem.
What Is PaaS?
Platform as a Service (PaaS) sits between Infrastructure as a Service (IaaS) and Software as a Service (SaaS). It provides a managed cloud environment where developers can build, deploy, and run applications without managing the underlying servers, storage, or operating systems.
By removing the complexity of managing underlying infrastructure, PaaS enables teams to focus on developing and scaling applications rather than maintaining systems. It accelerates development cycles and simplifies operations by handling provisioning, scaling, and uptime in the background.
Platforms such as Microsoft Azure and Oracle Cloud provide robust PaaS capabilities, while solutions like Salesforce and ServiceNow offer platform services that help organizations build and extend business applications across the enterprise.
The global PaaS market is projected to reach $166.51 billion by 2031, reflecting strong demand as organizations prioritize agility, scalability, and faster time to market.
In practice, PaaS allows teams to focus on innovation — such as building customer-facing applications or automating internal workflows — while the cloud provider manages infrastructure reliability and scale.
Salesforce: A leading platform for PaaS innovation
Salesforce has become a leading choice for enterprise app development by combining cloud infrastructure, integrated AI, and metadata-driven automation to accelerate delivery. Key benefits of Salesforce as a PaaS include rapid development and deployment through low-code tools, seamless integration with CRMs, analytics, and third-party applications via APIs, automatic scalability to handle demand spikes, and enterprise-grade security with built-in identity, encryption, and compliance controls.
While PaaS enables organizations to build and deliver applications faster, this convenience also introduces important responsibilities around data exposure and governance, particularly in complex platforms such as ServiceNow.
ServiceNow: Power Meets Complexity
ServiceNow automates IT service management and other business workflows. It is often deeply integrated with identity systems, collaboration tools, ticketing platforms, and other enterprise applications, making it both powerful and rich in data.
As a result, ServiceNow frequently becomes a central repository for tickets, attachments, logs, screenshots, email content, and other unstructured data. When this information is not properly classified or controlled, it can introduce security and compliance gaps. Its flexibility and connectivity are key strengths, but they also can expand the attack surface if not properly governed.
Overexposed sensitive data
ServiceNow stores large volumes of unstructured data, including system logs, attachments, screenshots, and emails. Because this data does not fit neatly into structured tables, it is often missed by traditional classification systems, leaving sensitive PII, financial records, and credentials untagged and potentially exposed.
As a result, organizations increasingly rely on AI-powered tools to detect, classify, and manage this data more effectively.
Uncontrolled data flows
ServiceNow integrates deeply with enterprise ecosystems. Every API and integration becomes a potential doorway for data to leak. A misconfigured webhook or token can expose sensitive customer records to unintended audiences.
Emerging risks: AI and virtual agents
The same AI capabilities that improve IT workflows also can introduce new vulnerabilities. When ServiceNow AI models ingest large internal datasets, they can inadvertently expose sensitive information through prompt injection or unsanitized outputs. Its AI and virtual agent features can access broad data sets, and recent vulnerabilities have shown how AI-driven workflows can increase exposure if access controls and data governance are not sufficiently strong. Recent breach examples include:
• “Most Severe AI Vulnerability to Date”: CVE-2025-12420 (“BodySnatcher”) exposed sensitive data by connecting legacy chatbots to newer AI agents without proper sandboxing.
• Count(er) Strike: Data Inference Vulnerability: Varonis Threat Labs discovered a flaw that could allow attackers to infer and exfiltrate internal ServiceNow data through crafted queries, creating significant risk for organizations relying on custom tables.
How DSPM Strengthens ServiceNow Environments
Data security posture management platforms help organizations identify where sensitive data resides, who can access it, and whether appropriate protections are in place, across both structured and unstructured repositories.
In a ServiceNow environment, DSPM provides:
• Visibility into unstructured data such as attachments, logs, and embedded files
• Classification and tagging of sensitive information across custom tables
• Continuous monitoring of data movement and sharing across integrations
• Faster incident response by mapping exposed data and affected entities during security events
Rather than focusing solely on applications or network perimeters, DSPM shifts security to the data layer itself. This makes it especially valuable for ServiceNow environments by helping teams quickly answer key questions: where sensitive data is stored, who can access it, and how it may be exposed through attachments, logs, integrations, or custom fields.
Reduce Risk with Fortra DSPM
Fortra DSPM helps organizations identify hidden sensitive data in unstructured sources, surfaces risky access paths, and strengthens incident response by showing what data is exposed and how far that exposure could spread.
In a platform like ServiceNow, Fortra DSPM can be the difference between a contained exposure and a far broader security impact.
