Challenge
Geotab's vision to bring advanced AI and machine learning capabilities to government customers required full visibility into Google Cloud managed services—a capability existing security tools couldn't provide
Achieving feature parity between commercial and FedRAMP environments demanded a security platform built for cloud-native architectures, not retrofitted legacy approaches
Accelerating innovation while meeting rigorous FedRAMP continuous monitoring requirements called for automation that could free development teams from labor-intensive compliance activities
Solution
Wiz's FedRAMP-authorized platform delivered seamless visibility across all Google managed services, enabling Geotab to confidently adopt BigQuery, Vertex AI, and other cloud-native services in their government environment
Automated configuration assessments and correlated risk data transformed risk evaluations from manual, multi-week processes into accelerated, data-driven decisions
Comprehensive platform capabilities positioned Geotab to consolidate security tools by approximately 80%, simplifying operations while expanding coverage
80% reduction
in required security tools
Lower cost
than previous manual compliance labor
Seamless visibility
across all Google Cloud managed services
Geotab has built its reputation on transforming vehicle data into actionable intelligence. The company's telematics devices capture everything from vehicle speed to route efficiency, generating massive datasets from fleets worldwide. But the real value comes from what Geotab does with that data.
The Data and Analytics (DNA) platform leverages machine learning and AI running on Google Cloud to deliver predictive analytics that help customers anticipate maintenance needs, predict potential collisions, and optimize fleet operations. Services like BigQuery for data warehousing and Vertex AI for machine learning models form the foundation of these capabilities. As Geotab expanded into serving government customers, maintaining feature parity between commercial and FedRAMP environments became essential—and achieving that goal required the right security foundation.
Pursuing Innovation Without Creating Technical Debt
When Geotab set out to bring the DNA platform's full capabilities to government customers, the organization faced a pivotal decision. The platform's most valuable features depended on Google Cloud's managed services—BigQuery , Vertex AI, and other cloud-native offerings where critical fleet data actually resided. Delivering these capabilities in the FedRAMP environment would require security tools designed for modern cloud architectures.
The existing security tools had been designed for traditional infrastructure. They could monitor virtual machines and containers running on Google Kubernetes Engine, but they lacked visibility into managed services. This architectural mismatch threatened to create a fundamental parity gap between commercial and government offerings—or worse, force the adoption of legacy security approaches that would create technical debt before new services even launched.
There were no tools that were as cloud native as Wiz within the FedRAMP marketplace. If we are going to be innovating, we cannot use technology that is more legacy or not appropriate for the tech stack because we're already creating tech debt before we even get started.
Brynna Nery, Government Security Architect, Geotab
Geotab recognized that attempting to secure modern cloud services with inappropriate tooling wasn't just inefficient—it produced suboptimal security outcomes. The organization needed a solution that matched their architectural ambitions and could evolve alongside their cloud strategy.
Transforming Compliance from Burden to Business Enabler
Beyond the visibility challenge, FedRAMP continuous monitoring requirements consumed significant time across multiple teams. Monthly compliance activities pulled developers away from building features, refining algorithms, and improving customer experiences. Each hour spent on manual compliance tasks delayed go-to-market timelines for new capabilities.
Geotab built a business case that quantified this impact. The cost of manual compliance labor—drawing resources from security engineers, developers, and operations teams—exceeded what a purpose-built platform would cost. More importantly, automating these workflows would return valuable development time to revenue-generating activities.
The timing of Wiz achieving FedRAMP authorization aligned perfectly with Geotab's DNA platform deployment and managed services rollout. This opened the door to a security approach that could match the sophistication of Geotab's cloud architecture while automating the compliance workflows that had been constraining innovation velocity.
Cloud-Native Security Enabling Cloud-Native Services
Implementation delivered immediate results. Wiz provided seamless visibility across all of Google Cloud's managed services, eliminating the blind spots that had blocked service adoption. Configuration assessments happened automatically, giving teams instant feedback on security posture. The platform's ability to correlate risk data across the environment enabled accelerated risk assessments that had previously required manual data gathering from multiple sources.
Wiz was pretty seamless. It had visibility into all those aspects and was able to provide immediate feedback regarding configurations and very succinctly correlated risk data for accelerated risk assessment.
Brynna Nery, Government Security Architect, Geotab
This capability transformed Geotab's ability to adopt new Google Cloud services in their FedRAMP environment. When evaluating whether to deploy a managed service for the DNA platform, teams now had immediate access to configuration intelligence and risk analytics. What once required extensive manual assessment now happened through automated analysis, compressing approval timelines without compromising security rigor.
The platform's cloud-native architecture meant it understood Google Cloud services at a fundamental level. Rather than retrofitting legacy security concepts onto modern managed services, Wiz provided security insights tailored to how these services actually operate—giving teams the guidance needed to implement services properly from the start.
Consolidating Tools, Simplifying Operations
As Geotab expanded their use of Wiz, dramatic tool consolidation emerged as an unexpected benefit. Security teams typically require multiple specialized tools—one for vulnerability management, another for compliance monitoring, a third for cloud security posture management. This tool sprawl creates operational burden, with each platform requiring integration, maintenance, and specialized expertise.
Wiz's breadth of capabilities changed this equation. With preview features already in testing, Geotab projected they could reduce their required security tooling to approximately one-fifth the previous count. This consolidation delivered benefits beyond licensing costs—fewer tools meant simpler operations, less context-switching for security teams, and more unified visibility across the environment.
We're pursuing a lot of preview features right now that would cut probably the number of tools we were required to get the same results to a fifth of the number of tools. It's extraordinary at the rate that Wiz is able to develop products and for the products to be usable.
Brynna Nery, Government Security Architect, Geotab
Results: Accelerating Cloud-Native Adoption
Wiz fundamentally changed what Geotab could achieve in their FedRAMP environment. The platform eliminated the innovation bottleneck that had threatened to create permanent parity gaps between commercial and government offerings. Teams can now adopt AI and machine learning services like Vertex AI, leverage BigQuery for advanced analytics, and deploy other managed services with confidence that security and compliance requirements are being met.
The impact extends beyond enabling new services. By automating continuous monitoring and providing immediate configuration feedback, Wiz returned valuable time to development teams. Hours previously spent on manual compliance activities can now be invested in building features that deliver customer value. Go-to-market timelines for new DNA platform capabilities in the government environment have compressed to match commercial deployment cycles.
Geotab achieved these outcomes while actually reducing their security tooling footprint and operational costs. The approximately 80% reduction in required tools simplified security operations even as coverage expanded. The licensing cost came in below what the organization had been spending on manual compliance labor alone.
With Google Cloud and Wiz, Geotab has accelerated their adoption of cloud-native services. The DNA platform's AI and machine learning capabilities can now evolve at the same pace regardless of whether they serve commercial or government customers. What began as a critical security challenge has become a competitive advantage—the ability to innovate at speed, even in highly regulated environments.
