Aptori Introduction

Aptori is an AI-powered application security testing platform that uses semantic reasoning technology to autonomously test APIs and identify vulnerabilities 100x faster and more effectively.
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What is Aptori

Aptori is a developer-first AI assistant for building secure, high-quality software. It leverages advanced artificial intelligence and semantic reasoning technology to automate and enhance application security testing, vulnerability management, and code remediation. Aptori integrates comprehensive security scans including static, dynamic, semantic, and runtime analyses directly into the software development workflow. At its core is the proprietary Sift Analyzer, which uses AI to dramatically improve the effectiveness of API and application security testing.

How does Aptori work?

Aptori works by creating a semantic model of an application's API structure through AI-powered analysis. It then uses this model to autonomously generate and execute API test scenarios that exercise all possible usage patterns and business logic flows. The platform performs stateful testing of API sequences to detect flaws and vulnerabilities before deployment. Aptori continuously monitors APIs across all stages of development, automatically triaging and prioritizing vulnerabilities based on severity and impact. Its AI agent can even suggest code fixes to remediate detected issues. The semantic testing approach allows Aptori to comprehensively test APIs without relying on examining live traffic.

Benefits of Aptori

By leveraging AI automation, Aptori significantly reduces the manual effort required for security testing while improving coverage and accuracy. It enables developers to shift security left and integrate testing throughout the SDLC. The platform accelerates vulnerability detection and remediation, allowing teams to release software faster with greater confidence in its security. Aptori's semantic analysis can uncover complex business logic flaws that traditional tools miss. Overall, it enhances application security while reducing costs and developer workload associated with manual testing and vulnerability management.

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