AI TOOL PROFILE
Data Theorem: Application and API Security
- Security
- API Security
- Enterprise companies
- Mid-market companies
- Software companies
- Financial institutions
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Mid-market companies, Software companies, Financial institutions
- Key use cases
- API Attack Surface Management, Pre-Production Vulnerability Scanning, Cloud-Native App Protection, Compliance Audit Readiness
- Integrations
- CI/CD tool integrations, Apigee, Kong, AWS API Gateway
- Official website
- Visit data theorem api official website
How AI is used
Data Theorem is a security platform designed to analyze and secure modern applications throughout the development lifecycle. It identifies vulnerabilities in mobile, web, API, and cloud assets using automated testing and monitoring.
The platform is intended for enterprise-level organizations and software companies managing complex app stacks. It supports multiple testing methods—including SAST, DAST, IAST, and SCA—to help teams identify security issues in code and third-party libraries before production.
In addition to testing, the platform includes runtime protection and a continuous discovery engine to help teams maintain an inventory of internet-facing assets and shadow APIs. It also provides AI-powered agents to support application security workflows using natural language.
Buyers should confirm how the tool integrates with their specific CI/CD pipeline and whether the feature set aligns with their internal security staffing.
Key Features
Continuous Asset Discovery
Inventories mobile, web, API, and cloud assets to identify the application attack surface and shadow IT.
Automated Security Testing
Supports SAST, DAST, IAST, and SCA to analyze source code and running applications for vulnerabilities.
Runtime Threat Protection
Monitors active traffic and provides blocking of security threats across the app stack.
API Security Posture Management
Analyzes API health, evaluates authentication and encryption levels, and detects orphaned or zombie APIs.
AppSec AI Agent
Supports application security workflows using natural language processing.
Software Bill of Materials (SBOM)
Identifies security violations within third-party APIs, SDKs, and open-source libraries.
Use Cases
API Attack Surface Management
Discovering active APIs and monitoring them for attack signals to help prevent data breaches.
Pre-Production Vulnerability Scanning
Using automated testing to identify and close security issues in apps and libraries before release to public app stores.
Cloud-Native App Protection
Monitoring and protecting cloud-native applications and associated infrastructure.
Compliance Audit Readiness
Maintaining security posture to help meet regulatory, customer, and industry standards.
Integrations
- CI/CD tool integrations
- Apigee
- Kong
- AWS API Gateway
FAQ
What does Data Theorem do?
- It is a security platform that discovers, tests, and protects mobile apps, web apps, APIs, and cloud-native assets.
Who is this software best for?
- It is designed for enterprise and mid-market companies, as well as software organizations with complex application stacks.
What types of security testing are included?
- The platform supports Static Analysis (SAST), Dynamic Analysis (DAST), Interactive Analysis (IAST), and Software Composition Analysis (SCA).
Source category: Security
Source subcategory: API Security
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