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APIs can expose sensitive business data. Detect and prevent data leaks with Pynt’s AI-powered analysis, across all API environments.
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Sure, you can work with manual tools, or try tools that don’t focus on the API security problem.
Or you can get Pynt.
Pynt detects actual exposures through real API flow, preventing leaks of PII, tokens, and secrets.
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Pynt scans LLM flows like any other API, and prevents prompt injection and misuse via APIs.
Pynt’s context-aware tests uncover logic flaws others miss, then spots critical vulnerabilities before attackers exploit them.
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Pynt leverages AI to detect real-world risks based on API behavior, and tailors attacks using actual API context automatically.
Focus your teams only on real, proven risks with Pynt’s AI-powered validated exploit success using contextual API behavior.
Simplify onboarding by leveraging existing test assets. Pynt supports Postman, Selenium, and other frameworks natively.
While static Swagger lacks context for real security testing, Pynt leverage AI to generate synthetic traffic to enable contextual attacks.
Pynt enables contextual analysis before attack generation. We analyze Burp XML and HAR browser recordings.
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Most solutions fail when it comes to complex applications. Pynt’s approach to security testing is three-fold: context-aware-first, API-first, and developer-first. With that approach in mind, Pynt is able to spot business logic vulnerabilities, where others often fail, along with developer-friendly solutions that integrate with their current processes and toolsets. Moreover, unlike some tools that require extensive setup or manual scripting, Pynt focuses on ease of use and rapid deployment.
Pynt is designed to identify any vulnerability that can be found through API security testing - from OWASP API Security Top 10, OWASP Web Top 10, OWASP LLM Security Top 10, as well as our security tests, catering to complex applications and complex business logic scenarios.
Pynt’s solution starts with API discovery. Pynt supports multiple sources to build a comprehensive API catalog and reveal shadow APIs and hidden spots, from testing tools like Postman and Selenium, Browser and Burp logs, and live traffic such as eBPF or ALB mirroring. Pynt can detect any external or internal API. Explore our integrations to check out our discovery sources.
DAST solutions focus on the web application problem, while Pynt focuses on modern applications. Modern apps are no longer simple web pages, and organizations develop many B2B APIs, internal and external, that introduce a significant risk. Coupled with the fact that DAST tools lack context and are incredibly unfriendly to developers, it’s not suitable for modern-day application security problems.
Fuzzing tools bombard APIs with random or malformed inputs, hoping to trigger errors. They don’t account for the actual structure, logic, or flow of your APIs—so they often miss critical issues or raise noise.
Pynt, on the other hand, performs context-aware testing: it understands how your APIs work and adjusts the attacks accordingly. Whether it's a shopping cart, role change, or payment flow, Pynt tailors the attack to the specific functionality—just like a real attacker would.Instead of random payloads, it tests realistic flows.
Crawlers are designed for web pages—they follow links and surface-level routes. APIs don’t expose their logic through links, and many sensitive endpoints require specific sequences, parameters, or authentication to reach.
Crawlers miss hidden, conditional, or deeply nested APIs that attackers actively seek—and that must be tested for security.
Swagger shows what the API is supposed to do - but not how it's actually used. It often lacks examples, authentication details, business logic, and doesn’t cover undocumented or deprecated endpoints.
Relying on Swagger alone as an input to the testing tools leads to blind spots and shallow testing that misses real-world risks.
Pynt runs via a lightweight CLI and produces results in JSON, making it easy to plug into any CI/CD pipeline. Its contextual understanding of APIs allows it to run meaningful, use-case-specific security tests in minutes—without manual configuration or scripting.
Burp is great for manual testing, but it’s slow, manual, and hard to scale. Pynt complements Burp by automating security testing in CI/CD and other environments—running context-aware, repeatable tests in minutes without manual effort.
You can even connect the two: Pynt integrates with Burp Suite by ingesting its XML recordings, using them to generate deeper, automated security tests based on real traffic.
Not really. SCA and SAST focus on code and dependencies—they don’t test how your APIs actually behave in runtime. They miss critical issues like:
Pynt tests your APIs as they run - validating the real attack surface exposed to the outside world. It fills a critical gap your static tools can’t reach.
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