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3 proven use cases for AI in preventative cybersecurity

  • IBM's Cost of a Data Breach Report 2024 reveals that the application of AI-powered automation in prevention has saved organizations an average of $2.2 million.
  • AI is helping in proactive defense through attack surface management by providing real-time protection to digital infrastructures and improving detection outcomes.
  • AI red teaming helps in stress-testing AI models, identifying vulnerabilities, and detecting shadow data that could pose security risks.
  • Posture management, enabled by AI, ensures continuous security at scale with real-time monitoring, quick identification and mitigation of breaches, and substantial cost savings.

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