Data Theorem Ranked #1 in Cloud-Native & API Security 2025 Gartner AST
Richard Smith
Modern application security is undergoing one of the fastest shifts in its history. AI-assisted development, serverless architectures, microservices, and cloud-native platforms have accelerated how quickly software is built and how complex it is to secure. In the midst of this transformation, Data Theorem is proud to share a milestone that reflects the strength of our platform and the trust of our customers:
Data Theorem has been ranked #1 for both Cloud-Native and API Security capabilities in the 2025 Gartner® Critical Capabilities for Application Security Testing report.

Looking deeper into Gartner’s evaluation, another important highlight emerges. In the Product and Service Scores, Data Theorem was the clear leader in API Security within the application security testing category. This reinforces the platform’s ability to continuously discover, validate, and protect the APIs that power modern mobile, web, and cloud-native applications.

For organizations building and securing modern applications, this year’s results highlight what many of our customers already know: continuous, automated, and runtime-aware AppSec is no longer optional, it’s foundational.
Why Data Theorem Stands Out
Gartner’s analysis reinforced that the market is shifting toward integrated, full-lifecycle solutions that protect everything from code to cloud runtime. Among all vendors evaluated, Data Theorem emerged as the leader for cloud-native use cases and API security capabilities.
According to Gartner:
Data Theorem takes the lead position in the cloud-native use case and is in the top five in the other use cases. It is an excellent fit for organizations looking for a single vendor solution, and those that value a utilitarian approach to AST.
This leadership position reflects our design philosophy: unify security testing and runtime protection into one automated, continuous workflow that keeps pace with modern engineering teams.
Doug Dooley, Chief Operating Officer at Data Theorem, emphasized this alignment:
We’re honored to be positioned highest for Cloud-Native Use Case in Gartner’s Critical Capabilities report. We believe this reinforces our commitment to helping organizations protect modern applications from development through runtime. As AI-driven software delivery accelerates, we’re ensuring that security keeps pace through automation and continuous validation across every app and API.
A Changing AppSec Landscape: The Rise of Cloud-Native and API-Driven Architectures
A key theme highlighted in this year’s report is the expansion of the AppSec domain itself. Gartner observed:
AI-assisted software development and increased cloud-native adoption have expanded the scope of application security testing (AST). Buyers are prioritizing integrated, continuous security testing across APIs, mobile, and modern web architectures.
This shift mirrors what we are seeing across our customer base:
- APIs now function as the backbone of enterprise connectivity.
- Cloud-native architectures significantly increase the number of assets and attack surfaces.
- Mobile apps are evolving into complex front-ends for sensitive transactions and data flows.
- AI-generated code is accelerating delivery but also introducing new classes of risks at unprecedented speed.
Securing these environments requires tools that perform more than static checks. Organizations need reactive and proactive visibility identifying vulnerabilities and confirming whether they are exploitable in live environments.
This is exactly where Data Theorem’s platform excels.
Download the Full Gartner Report
Access a complimentary copy of the 2025 Gartner Critical Capabilities for Application Security Testing report here:
https://www.datatheorem.com/resources/reports/2025-gartner-cc-ast
A Platform Purpose-Built for Modern AppSec Challenges
Data Theorem’s platform blends automated AST with continuous runtime protection across every layer of modern application stacks. Each product contributes a critical lens of visibility and validation:
- API Secure
Continuously discovers, inventories, and tests APIs including shadow and undocumented endpoints. Detects insecure data exposure, broken object-level authorization, and high-risk API misconfigurations at scale. - Mobile Protect
Our award-winning SDK delivers real-time telemetry combined with in-app defenses to identify and respond to hostile, fraudulent, rooted, cloned, or tampered activity within mobile applications. - Code Secure (SAST+)
A new generation of static analysis. SAST+ verifies vulnerabilities through dynamic runtime testing using Code Canary, confirming exploitability and reducing false positives dramatically. - Web Secure
Provides agentless dynamic runtime analysis for single-page apps (SPAs), serverless web workloads, and complex front-end frameworks mimicking real attacker behavior to expose business logic flaws. - Cloud Secure
Delivers continuous visibility and protection for cloud-native, containerized, and serverless deployments. Detects misconfigurations and enforces runtime controls across multi-cloud and hybrid environments.
Together, these solutions give organizations a unified way to test, validate, detect, and defend across the entire software lifecycle from the first line of code to live production environments.
A Mission Strengthened by Industry Recognition
Himanshu Dwivedi, CEO of Data Theorem, shared the broader significance of this achievement:
Our customers trust Data Theorem to validate real-world exploitability beyond static findings while maintaining visibility across APIs, mobile apps, and cloud-native deployments. Being ranked #1 in this critical use case and security capabilities reinforces our mission to make AppSec more intelligent, automated, and effective for the modern software era.
As organizations continue to embrace modern architectures, the need for unified, automated, and continuous security has never been greater. Data Theorem is proud to help lead this transformation and we are honored that Gartner has recognized our platform’s unique value.