Ultimate seguridad en aplicaciones Solutions for Everyone

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seguridad en aplicaciones

  • AIProxy secures your OpenAI key with a fully managed proxy service.
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    What is AIProxy?
    AIProxy offers a fully managed proxy service to securely handle your OpenAI keys. With features like split key encryption, DeviceCheck, and certificate pinning, it mitigates the risk of key abuse or theft. This service eliminates the need for managing your own backend, providing a streamlined and secure way to integrate OpenAI functionalities into your applications.
    AIProxy Core Features
    • Split Key Encryption
    • DeviceCheck
    • Certificate Pinning
    AIProxy Pro & Cons

    The Cons

    Limited official apps or presence on Google Play, Chrome Web Store, Discord, or Telegram
    Primary client support is focused on Swift, which may limit non-iOS/macOS developers
    No direct AI agent capabilities, functioning mainly as a proxy tool

    The Pros

    Robust security with split key encryption, DeviceCheck, and certificate pinning
    Easy integration through Swift client library supporting multiple AI providers
    Built-in rate limiting and proxy rules to prevent endpoint abuse
    Real-time observability and notification dashboard for usage and suspicious activity
    Highly scalable serverless AWS Lambda backend
    Supports bring-your-own-key for user flexibility
    Model override capabilities without app updates
  • An AI agent automating vulnerability scanning by orchestrating code analysis, network probing, and LLM-driven report generation.
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    What is Automated Vulnerability Scanning with Agentic AI?
    The Automated Vulnerability Scanning with Agentic AI project leverages large language models to autonomously plan, execute, and report on security assessments. By integrating tools like Bandit for static analysis, Nmap for network enumeration, and CVE databases for vulnerability matching, the agent creates a step-by-step scanning workflow. It analyzes code repositories for insecure patterns, probes network ports for exposed services, correlates findings with known vulnerabilities, and generates an actionable report with risk ratings and remediation guidance. Users can customize scanning pipelines, define target scopes, and integrate results into existing CI/CD pipelines. This LLM-driven agentic framework reduces manual effort and accelerates the discovery and mitigation of security risks across applications and infrastructure.
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