0Day

Inteligencia de amenazas y respuesta a incidentes

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The system functions as an AI-powered threat intelligence platform designed to provide early warnings of zero-day vulnerabilities and supply-chain attacks targeting software dependencies within organizations. Its key features include real-time alerting based on direct integration with version control repositories like GitHub, automatic analysis of transitive dependencies across multiple programming languages, corroboration of threat signals from over twenty trusted sources, and a prioritized, confidence-stage pipeline that identifies potential exploits before official advisories or CVEs are published. It addresses the critical problem of proactive security monitoring for development teams, software engineers, DevOps professionals, and security analysts by enabling them to detect and respond swiftly to emerging threats, thereby safeguarding codebases, reducing risk of exploitation, and maintaining privacy and security throughout the software supply chain.

0Day se puede encontrar en Threat Intelligence & Incident Response categorías.

Los productos más similares a 0Day son:

SypraSAM Perfil verificado Promocionado → SafeDep → Kodem → Xygeni → Cytidel →

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Detalles

Características principales de 0Day

• Real-Time Alerts
  Sends immediate notifications when your repositories are affected by active threats or attacks.
• Automated Scanning
  Performs regular automatic scans of your code and dependencies without manual effort.
• GitHub Integration
  Connects with your GitHub organization so every engineer gets real-time alerts about dangerous packages and versions used in your code.
• Live Security Feed
  Provides a live, updated feed of security threats confirmed across many trusted sources like Google Project Zero, Mandiant, and Snyk.
• Pipeline Integration
  Works seamlessly with your development pipeline to catch threats early and reduce security risks during software updates.
• Signal-Based Detection
  Uses multiple sources of threat data to identify potential risks and alert your team early, before official advisories or CVEs are issued.
• Threat Confidence Stages
  Filters signals through three stages of confidence, from initial suspicion to confirmed threat, before notifying your team.
• Dependency Graph Analysis
  Automatically reads your entire dependency structure, including all transitive dependencies, to find specific threats you are actually using.
• Proactive Threat Detection
  Allows your team to act quickly to update, remove, or pause vulnerable packages before exploits happen.
• Affected Packages Indicator
  Shows which of your packages or modules are impacted by a threat, with details on the affected repositories.
• AI-Powered Threat Intelligence
  The system uses artificial intelligence to detect and warn about zero-day threats targeting your packages before official alerts like CVEs are published.

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Tecnologías utilizadas

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