
Data Theorem
vs

Traceable AI
Download the API Security Comparison Guide
Data Theorem is a provider of application security analysis software. Data Theorem can discover and inventory all your APIs. Data Theorem’s analyzer engine continuously scans mobile and web applications in search of security flaws and data privacy gaps. IT can discover and inventory your APIs and discover potential API vulnerabilities. By integrating with your CI/CD pipeline, it can remediate potential security issues such as authentication, authorization, encryption, etc.
Traceable was purpose-built to provide the highest level of protection for both Web and API applications, offering a security platform that can block sophisticated unknown attacks that target your application’s business logic flaws and vulnerabilities. Our security platform offers a powerful capability to collect all data from all touchpoints within your application as user-driven traffic flows through your application. This lays the groundwork to build powerful machine learning models that can quickly surface malicious behavior that can quickly lead to sensitive data exposure.
Traceable AI is the leader in API security and enables comprehensive protection for APIs including the Log4j/Log4Shell exploit.
API Security Requirements | Data Theorem (36%) | Traceable AI (96%) |
---|---|---|
API Discovery and Risk Management | ||
APIs Discovery | ||
Risk Scoring | ||
Change Detection | ||
Usage Analysis | ||
3rd Party API Risk | ||
Detection and Blocking of Attacks | ||
OWASP Top 10 attacks - WAF | ||
OWASP API Top 10 attacks | ||
DDoS Protection | ||
User Behavior Attacks | ||
User Identification & Behavior Analytics | ||
Bot Mitigation | ||
Fraud Detection | Partial | |
Data Flow Analytics | ||
Sensitive Data Flow | ||
Security Data Lake For Analytics & Threathunting | ||
Deployment | ||
Inline / Agent-based | ||
Out-of-Band/Agentless |
Consider the following points when evaluating Data Theorem
Real-time Protection
API attacks are fast and hard to detect because they often look like regular business traffic. Traceable AI has a range of deployment options that takes minutes to set up. Traceable was built with a range of deployment options ensuring that customers can choose between real-time in-app blocking and agentless deployment options, allowing customers to choose how and where to block threats that target their applications.
Security Data Lake
Historical data about attempted API attacks is a crucial need for security teams to improve their security posture over time. Traceable is built on a security data lake that enables EDR-like capabilities that enterprise security teams have been using for years. Customers can perform threat hunting, post-forensic analysis, and track sensitive data flows across their API-driven applications.
Business Logic understanding
APIs expose business logic, and attackers often exploit your business logic to abuse your APIs. Understanding API context and transaction/data flows are crucial to detecting and defending against business logic attacks. Traceable was purpose-built to detect and block sophisticated business logic attacks by collecting transactions across an application and building out sophisticated models.