DataTheorem
Unlock continuous security for APIs and applications with automated testing solutions.
About DataTheorem
DataTheorem is at the forefront of automated application security testing, providing a comprehensive suite of solutions designed to secure mobile, web, APIs, and cloud-native applications. With the increasing complexity of modern applications, the need for robust security measures has never been more critical. DataTheorem's technology leverages advanced algorithms to perform static application security testing (SAST), dynamic application security testing (DAST), interactive application security testing (IAST), and software composition analysis (SCA) to identify vulnerabilities before they can be exploited. This proactive approach is essential for organizations aiming to protect sensitive data and maintain compliance with industry regulations. The platform's continuous discovery capabilities allow organizations to maintain an up-to-date inventory of all their internet-facing assets, ensuring that any new vulnerabilities are swiftly identified and addressed. By integrating seamlessly into the software development lifecycle (SDLC), DataTheorem empowers development teams to incorporate security practices from the earliest stages of development through to production release. This integration not only enhances security but also fosters a culture of DevSecOps, where security is a shared responsibility among all stakeholders. One of the standout features of DataTheorem is its real-time active protection capabilities. This functionality provides visibility into ongoing security threats and allows for immediate response to potential attacks, ensuring that organizations can defend against breaches as they occur. By utilizing telemetry and observability, DataTheorem helps organizations maintain a strong security posture while also enabling them to respond to incidents effectively. DataTheorem is particularly beneficial for industries where security is paramount, such as finance, healthcare, and gaming. For instance, in the mobile gaming sector, it helps developers protect their applications from cheaters and fraud, which can lead to significant revenue loss. Similarly, healthcare applications benefit from DataTheorem’s ability to identify and remediate security issues before they can impact patient data. The platform's compliance features ensure that organizations are always audit-ready, helping them navigate the complexities of regulatory requirements. By maintaining compliance with standards such as GDPR, HIPAA, and PCI-DSS, DataTheorem helps organizations avoid costly fines and reputational damage. With a customer base that includes some of the largest banks and companies worldwide, DataTheorem demonstrates its effectiveness and reliability in securing applications at scale.
DataTheorem Key Features
Mobile Security
DataTheorem provides comprehensive security testing for iOS and Android applications using SAST, SCA, DAST, and runtime protection. This feature ensures that mobile applications are secure from vulnerabilities and threats throughout their lifecycle, offering peace of mind to developers and end-users alike.
API Security
The tool offers robust API security through discovery, security assessment, and runtime protection. By continuously monitoring APIs, DataTheorem helps organizations prevent unauthorized access and data breaches, ensuring that APIs remain secure as they evolve.
Web Security
DataTheorem provides security testing for Web 2.0 and Single Page Applications (SPA) to detect vulnerabilities and protect against attacks. This feature is crucial for maintaining the integrity and security of web applications in a constantly evolving threat landscape.
Cloud Security
The platform monitors, hacks, and protects cloud-native applications, offering a comprehensive security solution for cloud environments. This feature ensures that cloud applications are secure from potential threats and vulnerabilities, providing continuous protection and compliance.
Code SAST Secure
DataTheorem performs static application security testing (SAST) to identify vulnerabilities in code before deployment. This proactive approach helps developers fix security issues early in the development process, reducing the risk of security breaches.
Active Protection
The tool provides real-time active protection for mobile apps, web apps, APIs, and cloud-native applications. By actively blocking threats and providing observability, DataTheorem ensures that applications remain secure even after deployment.
Asset Discovery
DataTheorem automates the discovery process of every internet-facing asset, including web apps, mobile apps, APIs, and cloud environments. This feature helps organizations maintain an up-to-date inventory of their digital assets, ensuring comprehensive security coverage.
Compliance Management
The platform helps organizations maintain compliance audit readiness for regulatory, customer, and industry standards. By ensuring that applications meet compliance requirements, DataTheorem reduces the risk of legal and financial penalties.
DataTheorem Pricing Plans (2026)
Enterprise Tier
- Comprehensive security testing
- Real-time protection
- Compliance management
- Integration with DevOps tools
- Best suited for larger organizations with extensive security needs.
DataTheorem Pros
- + Comprehensive testing capabilities that cover all aspects of application security, from code to runtime.
- + Real-time protection features that allow for immediate response to threats, reducing the risk of breaches.
- + Strong compliance management tools that help organizations meet regulatory requirements effortlessly.
- + Seamless integration with existing DevOps tools, promoting a culture of security within development teams.
- + Continuous asset discovery ensures that organizations are aware of all potential vulnerabilities across their applications.
- + User-friendly interface that simplifies the security testing process, making it accessible for teams of all skill levels.
DataTheorem Cons
- − The initial setup and integration process can be complex and time-consuming for some organizations.
- − Pricing may be on the higher end, which could be a barrier for smaller businesses or startups.
- − Some users report that the volume of alerts can be overwhelming, requiring fine-tuning to prioritize critical issues.
- − Limited customization options for specific testing parameters, which may not meet the needs of all users.
DataTheorem Use Cases
Securing Mobile Gaming Apps
Mobile gaming companies use DataTheorem to protect their apps from cheaters and fraud, ensuring a fair and secure gaming experience. This helps prevent revenue loss and maintain user trust.
API Security for Financial Institutions
Financial institutions leverage DataTheorem to secure their APIs, protecting sensitive customer data from unauthorized access. This use case is critical for maintaining compliance and trust in the financial sector.
Web Application Security for E-commerce
E-commerce platforms use DataTheorem to secure their web applications, protecting against data breaches and ensuring a safe shopping experience for customers. This helps maintain brand reputation and customer loyalty.
Cloud Security for SaaS Providers
SaaS providers rely on DataTheorem to secure their cloud-native applications, ensuring continuous protection against evolving threats. This use case is essential for maintaining service reliability and customer trust.
Compliance for Healthcare Applications
Healthcare organizations use DataTheorem to ensure their applications comply with industry regulations, protecting patient data and maintaining audit readiness. This is crucial for avoiding legal penalties and maintaining patient trust.
DevSecOps Integration for Enterprises
Enterprises integrate DataTheorem into their DevSecOps processes to ensure security is embedded throughout the software development lifecycle. This approach helps identify and fix vulnerabilities early, reducing the risk of security breaches.
What Makes DataTheorem Unique
Comprehensive Security Coverage
DataTheorem offers a complete suite of security solutions for mobile, web, APIs, and cloud-native applications, ensuring comprehensive protection across all platforms.
Real-Time Active Protection
The platform provides real-time active protection, actively blocking threats and providing observability to ensure applications remain secure even after deployment.
Automated Asset Discovery
DataTheorem automates the discovery process of internet-facing assets, ensuring organizations maintain an up-to-date inventory of their digital assets for comprehensive security coverage.
Integration with DevSecOps
The tool integrates seamlessly with DevSecOps processes, embedding security throughout the software development lifecycle and helping organizations identify and fix vulnerabilities early.
Who's Using DataTheorem
Enterprise Teams
Enterprise teams use DataTheorem to secure their complex application ecosystems, ensuring comprehensive protection across mobile, web, APIs, and cloud environments. This helps them maintain compliance and protect sensitive data.
SaaS Providers
SaaS providers leverage DataTheorem to secure their cloud-native applications, ensuring continuous protection against threats. This enables them to provide reliable and secure services to their customers.
Financial Institutions
Financial institutions use DataTheorem to secure their APIs and applications, protecting sensitive customer data from unauthorized access. This is critical for maintaining compliance and customer trust.
Healthcare Organizations
Healthcare organizations rely on DataTheorem to ensure their applications comply with industry regulations, protecting patient data and maintaining audit readiness. This helps them avoid legal penalties and maintain patient trust.
How We Rate DataTheorem
DataTheorem vs Competitors
DataTheorem vs Veracode
DataTheorem offers a more comprehensive suite of testing methodologies, including real-time protection features, whereas Veracode focuses primarily on static and dynamic testing.
- + Real-time active protection
- + Continuous asset discovery
- − Veracode excels in its established reputation and extensive customer base.
DataTheorem Frequently Asked Questions (2026)
What is DataTheorem?
DataTheorem is an automated application security testing tool that provides comprehensive security solutions for mobile, web, APIs, and cloud-native applications.
How much does DataTheorem cost in 2026?
Pricing details are available on the DataTheorem website and may vary based on the features and services selected.
Is DataTheorem free?
DataTheorem does not offer a free tier; however, they may provide trial periods for new users.
Is DataTheorem worth it?
Many organizations find DataTheorem to be a valuable investment due to its comprehensive security features and compliance management tools.
DataTheorem vs alternatives?
DataTheorem stands out for its comprehensive coverage and real-time protection features compared to other tools.
What types of applications can DataTheorem secure?
DataTheorem can secure mobile, web, APIs, and cloud-native applications.
How does DataTheorem integrate with DevOps?
DataTheorem integrates seamlessly into the SDLC, allowing for security checks throughout the development process.
What is the role of continuous discovery in DataTheorem?
Continuous discovery allows organizations to maintain an up-to-date inventory of their assets, ensuring timely vulnerability identification.
Can DataTheorem help with compliance?
Yes, DataTheorem offers tools to help organizations maintain compliance with various regulatory standards.
What support resources does DataTheorem offer?
DataTheorem provides customer support, documentation, and training resources to assist users.
DataTheorem Search Interest
Search interest over past 12 months (Google Trends) • Updated 2/2/2026
DataTheorem Company
DataTheorem Quick Info
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- January 18, 2026
DataTheorem Is Best For
- Financial institutions seeking to protect sensitive customer data.
- Healthcare organizations needing to comply with strict regulations.
- Gaming companies looking to secure their applications from fraud.
- E-commerce platforms that require secure payment processing.
- Software development teams aiming to integrate security into their workflows.
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