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.