How Machine Learning Detects Zero-Day Attacks
For decades, cybersecurity has been a game of cat and mouse played on a foundation of signatures. When a new malware strain or exploit was discovered, security researchers analyzed it, extracted a unique digital signature, and distributed it to antivirus databases.
But signature-based defense has a fatal flaw: it is entirely reactive. It cannot stop what it has never seen before.
Machine Learning
Zero-Day Attacks
Cybersecurity
Threat Detection
AI in Security
