Definition #
Neural networks analyzing code patterns to detect and categorize emerging threats.
Key Characteristics #
- Behavior-based analysis
- Zero-day detection
- Campaign attribution
- Sandbox evasion detection
Why It Matters #
Identifies 98% of novel malware vs 70% with signature-based tools (CrowdStrike).
Common Use Cases #
- Endpoint protection
- Network traffic analysis
- Phishing kit detection
Examples #
- CrowdStrike Falcon
- SentinelOne
- VMRay Analyzer
FAQs #
Q: False positives?
A: <0.1% for enterprise solutions after model calibration.
Q: Encryption handling?
A: Analyzes execution patterns without decrypting payloads.