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API Security Suites comparison №1
Data Theorem vs Traceable
As you know, APIs are prone to data breaches through injection attacks and other means of compromising API through vulnerabilities. They need to be protected just like the rest of your FinTech system, and API penetration testing is one way to do it.
Naturally, there are purpose-built tools enabling API security, so-called API Security Suites. Today, we will compare two of them: Data Theorem and Traceable. This is the first story in a whole series of comparisons of API Security Suites (APISS). We'll publish more to give you a comprehensive overview of what to expect from APISS.
Naturally, there are purpose-built tools enabling API security, so-called API Security Suites. Today, we will compare two of them: Data Theorem and Traceable. This is the first story in a whole series of comparisons of API Security Suites (APISS). We'll publish more to give you a comprehensive overview of what to expect from APISS.
Data Theorem
Data Theorem offers advanced security solutions for mobile, web, and APIs that help automate API security analysis and vulnerability inspection. The list of its clients is pretty impressive, including industry giants, the world's largest banks, and household names.
The core mission of this leading provider of modern application security is to evaluate and protect applications anywhere and at any point in time.
The core mission of this leading provider of modern application security is to evaluate and protect applications anywhere and at any point in time.
Traceable
Traceable was designed for cloud-native applications. It works in tandem with Kubernetes, Envoy Service Mesh, and other cloud-native environments to enhance API security. The solution is powered by machine learning and Traceable's distributed tracing technology, also available as an open-source project.
This context-aware API security platform evaluates API risks, prevents attacks, and offers a context-rich data lake for forensic research and threat hunting.
This context-aware API security platform evaluates API risks, prevents attacks, and offers a context-rich data lake for forensic research and threat hunting.
Data Theorem and Traceable: Key Differences
Summary
Both these solutions can protect your API in their unique ways. Data Theorem is known for its seamless integration with JIRA and Jenkins - weaving cybersecurity into your CI\CD pipelines. Its availability in the Google Cloud Marketplace definitely adds to its trust factor.
On the other hand, Traceable can monitor your API in production environments and is powered by Machine Learning, which allows protecting your GraphQL or REST API with minimal human intervention. The distributed tracing feature is also critical for accurate threat detection.
If you are not ready to consider procurement of a tool - you can check out our API Penetration Testing Service.
On the other hand, Traceable can monitor your API in production environments and is powered by Machine Learning, which allows protecting your GraphQL or REST API with minimal human intervention. The distributed tracing feature is also critical for accurate threat detection.
If you are not ready to consider procurement of a tool - you can check out our API Penetration Testing Service.
Further Reading
You can also check other our comparisons:
Stay tuned!
Stay tuned!
Cyberlands.io Team