AI for Cybersecurity: Hype or High Priority?

This white paper covers four ways machine learning, applied in a practical and focused way, can strengthen cybersecurity defense by:

  • Accelerating the productivity of cybersecurity specialists as the ratio of network traffic volume to analysts grows more and more disproportionate;
  • Improving detection capabilities with network behavioral analytics, complemented by cyber analysts who can validate and rate alerts;
  • Broadening visibility across the threat landscape with a collective defense response to detected threats; and
  • Leveraging shared network data (anonymized and encrypted in transit) to collectively amplify threat detection.