Unified, AI-Powered Application Security Testing
Detect, prioritize, and remediate vulnerabilities across code, open source, containers, and infrastructure—automatically and continuously.
Shift-Left Security Testing for Secure-by-Design
Aptori combines SMART semantic modeling with static analysis to detect, triage, and auto-suggest fixes for every vulnerability. SMART semantic scenarios surface deep business-logic flaws while parallel scans cover OWASP Top 10, CWEs, CVEs, and data leaks. Native IDE and CI/CD integration automatically enforces security and compliance checks for every release.
Comprehensive Coverage
SAST, DAST, SCA, container, supply-chain (SBOM) scanning all in one platform.
Shift-Left Speed
Find and fix vulnerabilities early—in your IDE and CI pipelines.
Continuous Compliance
Stay audit-ready for PCI DSS, SOC 2, HIPAA, and NIST CSF via continuous testing and reporting.
Semantic Intelligence
AI-driven semantic graph models your app logic for real-world attack scenarios.
Dev-First UX
Lightweight CLI/IDE plugins deliver fast feedback and actionable fixes.
Cost Efficient
Slash pentest spend and remediation time by automating security testing.
By orchestrating SMART’s graph-based engine, and traditional analyzers, Aptori captures every class of application security defect, prioritizes by exploitability and business context, and delivers precise remediation guidance—automatically.
Aptori’s AI Security Engineer automates security at development speed
- Stop logic flaws and zero-days before release
- Gain real-time visibility into exploitable risks
- Shrink security debt without adding headcount
Aptori has been recognized with the Hot Company AI-Powered Application Security Global InfoSec Award during RSAC 2025
Open Source & Supply-Chain Security
- SBOM & OSS Risk:
Auto-generate SBOMs, real-time CVE alerts, one-click fixes
- License Compliance:
Enforce allowed licenses and repository policies
Static & Dynamic Analysis
- Graph-Based SAST:
AST-driven code inspection enhanced by LLM reasoning—no custom rules needed.
- SMART DAST:
AI-generated attack workflows uncover deep API/UI flaws beyond surface fuzzing.
- Unified Dashboard:
Correlate and de-duplicate static and dynamic findings in one view.
Container & Infrastructure Scanning
- Image Scanning:
Deep layer analysis for CVEs, outdated packages, and CIS benchmark compliance.
- IaC Validation:
Inline Terraform & CloudFormation checks to prevent misconfigurations pre-deploy.
- Custom Policy Enforcement:
Apply CIS standards or your own rules across images and manifests.
Business Logic & API Testing
- Semantic Scenario Generation:
Context-aware test plans derived from code, schemas, and SBOM.
- Access-Control Exhaustiveness: Systematically exercise roles and data paths to find BOLA/IDOR gaps.
- Data-Flow Tracing:
Identify unintended PII/PHI exposures through the application.
DevSecOps Integrations
- In-IDE & CLI Feedback:
VS Code/JetBrains extensions and Sift CLI deliver instant, actionable alerts.
- CI/CD & GitOps Enforcement:
Native plugins for GitHub Actions, Jenkins, GitLab, Azure DevOps.
- Workflow Automation:
Auto-comment fixes on PRs, create Jira tickets, and send Slack or ServiceNow alerts.
Why Aptori?
For Security Leaders
For Developers
Discover → Prioritize → Remediate → Comply
Empower developers, uncover real risk, and automate what matters. Aptori’s AI Security Engineer uses semantic reasoning to model your APIs, generate targeted abuse-case tests, and run them continuously in CI/CD—detecting and remediating IDOR, BOLA, RBAC/ABAC and other vulnerabilities in real time while ensuring compliance (PCI DSS 4.0, HIPAA, NIST).
Discover with Semantic Analysis
Build a real-time model of your code, APIs, applications, containers, and cloud
Uncover business logic flaws, misconfigurations, and runtime risks.
Prioritize by Real-World Impact
AI-driven risk scoring based on exploitability, data sensitivity, and business context
Reduce alert fatigue—focus only on vulnerabilities that matter
Remediate with Precise AI Fixes
Inline code suggestions generated by an AI Security Agent
Automate pull-request comments, CI/CD patches, or direct IDE updates
Accelerate mean time to remediation from days to minutes
Comply Continuously
Embed controls for PCI DSS, NIS2, SOC 2, ISO 27001, and more
Auto-produce evidence packages and audit trails in real time
Maintain “audit-ready” posture as your code and cloud evolve
Semantic Modeling for Application & API Security
SMART (Semantic Modeling for Application & API Risk Testing) uses AI to map your entire stack—data flows, control paths, and authentication logic—into a live, stateful model. It then exercises every meaningful path to detect business logic vulnerabilities and runtime misconfigurations.
Deep Coverage
Finds flaws static and dynamic scanners miss.
High Precision
Context-aware path selection minimizes false positives
Actionable Insights
Prioritize based on real exploitability, not just severity.
Lightning-Fast
Proprietary graph-based engine delivers results in real time.
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Frequently Asked
Questions
Your AI Security Engineer Never Sleeps! It Understands Code, Prioritizes Risks, and Fixes Issues
Ready to see it work for you? Request a demo!
Need more info? Contact Sales
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