Definition #
Neural networks analyzing network traffic, user behavior, and code for anomalies.
Key Characteristics #
- Zero-day attack detection
- Automated incident response
- Threat hunting
- Dark web monitoring
Why It Matters #
Identifies 300% more threats than rules-based systems (IBM).
Common Use Cases #
- Phishing detection
- Insider threat prevention
- Vulnerability prioritization
Examples #
- CrowdStrike Falcon
- Darktrace ANTIGENA
- Vectra AI
FAQs #
Q: False positive rate?
A: <5% for mature systems vs 20-30% traditional tools.
Q: Cloud coverage?
A: Secures AWS, Azure, GCP, and hybrid environments.