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aptori.com AI-Powered Security: Reduce Risk, Accelerate Compliance

What is aptori.com?

Aptori positions itself as an AI Security Engineer designed to enhance application and API security throughout the Software Development Life Cycle (SDLC). It leverages advanced AI and semantic modeling (SMART technology) to gain a deep understanding of application logic, data flows, and control paths, moving beyond traditional static or dynamic analysis. This approach enables the platform to identify complex vulnerabilities, including business logic flaws and runtime risks often missed by conventional scanning tools.

The platform focuses on proactive security by not only detecting threats across code, APIs, applications, and cloud environments but also by prioritizing them based on contextual risk analysis. Aptori aims to reduce alert fatigue and allow teams to focus on genuine threats. Furthermore, it automates the remediation process by suggesting precise code fixes, integrating seamlessly into existing CI/CD pipelines to support secure-by-design DevOps practices and facilitate continuous compliance with standards like PCI DSS 4.0, NIS2, HIPAA, and ISO 27001.

Features

  • AI-Powered Detection: Uncovers logic flaws, misconfigurations, and cloud risks using deep semantic analysis beyond traditional scanning.
  • Auto Triage: Prioritizes vulnerabilities based on exploitability and impact using AI, reducing alert fatigue.
  • AI Auto Fix: Provides precise, secure-by-design code fix suggestions integrated into developer workflows.
  • Seamless SDLC Integration: Embeds security testing and remediation into CI/CD pipelines for continuous protection.
  • Continuous Compliance Automation: Helps meet regulatory standards like PCI DSS 4.0, NIST, NIS2, and SOC 2 through automated security controls and reporting.
  • Semantic Modeling (SMART): Builds a stateful model of software behavior to detect business logic flaws and exploitable risks.
  • API Security Testing: Continuously secures APIs against business logic attacks and authorization issues from development to production.

Use Cases

  • Automating application security testing throughout the SDLC.
  • Securing APIs against business logic attacks and emerging threats.
  • Prioritizing critical vulnerabilities to reduce security backlogs.
  • Automating code vulnerability remediation with AI-suggested fixes.
  • Ensuring continuous compliance with standards like PCI DSS 4.0.
  • Integrating security seamlessly into DevOps workflows.
  • Reducing risk associated with cloud misconfigurations.
  • Improving security posture for faster, secure software releases.

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