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FairNow — AI Security Software

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What is FairNow?

FairNow is AI governance software that centralizes risk management for organizations deploying AI systems. It automates bias audits, tracks regulatory compliance, and simplifies AI oversight to mitigate risks associated with AI deployment.

What sets FairNow apart?

FairNow distinguishes itself with its centralized AI governance approach, which helps organizations manage risks across their entire AI portfolio. This platform is useful for data scientists and compliance officers who need to stay on top of evolving AI regulations without slowing down innovation. FairNow's proactive risk management tools allow companies to confidently expand their AI initiatives while maintaining strong ethical standards.

FairNow Use Cases

  • AI governance automation
  • Bias detection in AI
  • Regulatory compliance tracking
  • AI risk assessment

Who uses FairNow?

Features and Benefits

  • Feature icon AI Bias Detection
    Automatically run comprehensive bias audits across multiple metrics and datasets to identify potential issues in real-time.
  • Feature icon Regulatory Compliance Tracking
    Monitor AI systems against evolving laws and regulations to ensure ongoing compliance and minimize legal risks.
  • Feature icon Centralized AI Inventory
    Maintain a comprehensive overview of all AI models and tools across your organization in a single dashboard.
  • Feature icon Risk Assessment
    Evaluate AI applications for potential legal, reputational, and financial risks to prioritize governance efforts.
  • Feature icon Automated Reporting
    Generate detailed reports and audit trails to document AI governance activities and demonstrate compliance.

Pricing

Custom Price not available
  • Circle check icon Centralized AI governance
  • Circle check icon Audit-ready compliance
  • Circle check icon Automated bias audits
  • Circle check icon Customizable AI governance tools
  • Circle check icon Seamless data integration options
  • Circle check icon Synthetic Fairness Simulation methodology
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