Protect Your Apps From Business Logic Flaws

API Based Scanning

Pynt’s context-aware tests uncover logic flaws others miss, then spots critical vulnerabilities before attackers exploit them.

Contextual Scanning

Pynt leverages AI to detect real-world risks based on API behavior, and tailors attacks using actual API context automatically.

False-Positives Validation

Focus your teams only on real, proven risks with Pynt’s AI-powered validated exploit success using contextual API behavior.

CI/CD Automation

Enables automated API pen-tests on every build. Runs in minutes, built for CI/CD pipelines.

LLM Security

Pynt scans LLM flows like any other API, and prevents prompt injection and misuse via APIs.

Fix Suggestions

Pynt speeds up remediation via a dev-friendly, actionable advice, tailored to context, not generic CWE text.

Sensitive Data Exposure

Pynt detects actual exposures through real API flow, preventing leaks of PII, tokens, and secrets.

AI Swagger-to-Traffic

While static Swagger lacks context for real security testing, Pynt leverage AI to generate synthetic traffic to enable contextual attacks.

Vulnerability Evidence

Pynt shows full request-response chain for easy validation. It proves the issue and accelerates fixes.

Tests Customization

Fine-tune attack logic without writing code: Pynt adapts security tests to your unique environments.

Testing Sources

Simplify onboarding by leveraging existing test assets. Pynt supports Postman, Selenium, and other frameworks natively.

Recorded Data Sources

Pynt enables contextual analysis before attack generation. We analyze Burp XML and HAR browser recordings.

Live Traffic

Pynt enables accurate discovery and smarter testing, using eBPF, mirroring, and proxy data seamlessly.