Companies, organizations, and governments across sectors worldwide are looking for better ways to fight back against sophisticated, relentless hackers. Is AI the new defense tool? This white paper explores four ways machine learning, applied in a practical and focused way, can strengthen cybersecurity defense.
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
Leveraging shared network data (anonymized and encrypted in transit) to collectively amplify threat detection
Cyberspace is dynamic, and adaptive approaches are always needed to solve the new challenges constantly emerging.
-GEN. PAUL NAKASONE
Head of the U.S. Cyber Command and National Security Agency