What is
Data Theorem
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Attribute | Value |
|---|---|
Primary use case | Continuous application security discovery, testing, runtime protection, and remediation across code, mobile apps, APIs, and cloud |
Deployment type | Cloud security platform with CI/CD integrations |
Pricing model | Commercial; pricing structure not specified |
Supported integrations | Jenkins, Harness Security Testing Orchestration |
Source type | Dual |
Required skills | Application security, vulnerability triage and remediation, CI/CD pipeline configuration; Jenkins administration for the Jenkins integration |
AEP branch | Tooling |
AEP category | Security Plane |
AEP subcategory | Scanning & Suites |
Profile
Scanning & Suites is the most specific AEP level supplied for Data Theorem. The platform provides continuous application security discovery, testing, runtime protection, and remediation across code, mobile apps, APIs, and cloud.
Its products include API Secure for discovery, security, and runtime protection; Code SAST Secure for SAST, AI, SCA, and SBOM; Cloud Secure for cloud-native applications; and Mobile Secure for iOS and Android security testing and runtime protection. The platform also describes an AppSec AI Agent for vulnerability triage and prioritization, and AI-powered secure code repair.
Focus
Data Theorem is aimed at teams securing modern applications across development and runtime. It addresses the challenge of identifying application assets and vulnerabilities across mobile apps, APIs, cloud, and AI integrations, prioritizing risk, and protecting applications against security threats and AI-augmented attacks.
For CI/CD workflows, its Jenkins plugin uploads pre-production mobile binaries to Data Theorem for security scanning.
Background
A third-party source in the supplied research describes Data Theorem as an application security company founded in 2013 and based in Palo Alto. The supplied research does not specify the company’s funding history.
Data Theorem’s open-source contributions in the supplied research include a Jenkins plugin for uploading pre-production mobile binaries for security scanning. The research also identifies Data Theorem’s TrustKit Android documentation, which describes support for SSL pinning functionality.
Features
Application attack surface discovery
Data Theorem continuously discovers and maps application assets to help teams track changes and identify exposed surfaces. The platform describes inventory and automated dynamic updates across apps, APIs, and AI, including shadow AI and API discovery.
Continuous application security testing
Data Theorem tests applications to help teams identify and understand vulnerabilities across the development lifecycle. Its product descriptions include SAST, SCA, DAST, and SBOM capabilities across code and mobile, along with API and cloud security testing.
Vulnerability triage and prioritization
The AppSec AI Agent helps teams understand which vulnerabilities to address first. Data Theorem describes natural-language triage, priority ranking, and contextual risk assessment across the application portfolio.
Runtime protection
Data Theorem provides runtime visibility and active blocking to help stop application security threats, payload injections, and AI-driven automated attacks. The platform describes 24/7 telemetry and active protection for applications and APIs.
Secure code remediation
Data Theorem’s AI-powered secure code repair suggests and applies verified vulnerability fixes down to the line of code, with the stated benefit of supporting remediation in development workflows.
Pre-release mobile scanning
The Jenkins integration uploads pre-production mobile binaries for security scanning in a CI/CD pipeline. Data Theorem reports that Wildflower identified and closed 73 security issues and removed 11 harmful third-party libraries before release; Shippo identified and closed 138 security issues and removed 27 harmful third-party libraries before release.
Pros and cons
Pros
Provides security capabilities across code, mobile apps, APIs, cloud, and runtime protection within one platform.
Supports CI/CD security workflows through Jenkins and Harness Security Testing Orchestration integrations.
Published customer examples report pre-release findings and remediation, including 73 issues closed and 11 harmful third-party libraries removed for Wildflower, and 138 issues closed and 27 harmful third-party libraries removed for Shippo.
The company states that its customers cover over 2.8 billion users.
Cons
The supplied review research does not substantiate a concrete product limitation, missing capability, or operational cost.
FAQs
Data Theorem FAQ
How does Data Theorem work?
Data Theorem discovers and maps application assets, tests code, mobile apps, APIs, and cloud, prioritizes vulnerabilities, provides runtime visibility and active blocking, and suggests and applies verified code fixes.
Which integrations does Data Theorem support?
Data Theorem supports Jenkins and Harness Security Testing Orchestration. Its Jenkins integration uploads pre-production mobile binaries to Data Theorem for security scanning.
What does Data Theorem cost?
Data Theorem has a Commercial pricing model; pricing structure not specified.
What is required to run Data Theorem?
Data Theorem requires application security, vulnerability triage and remediation, and CI/CD pipeline configuration skills; Jenkins administration is required for the Jenkins integration. The Jenkins integration requires Jenkins version 2.289 and the Credential Plugin.
What limitations are documented for Data Theorem?
The supplied research does not substantiate a specific product limitation, missing capability, or operational cost for Data Theorem.
