The Speed and Scale Challenge
The volume of security alerts and the speed of modern attacks overwhelm human analysts. **AI and Machine Learning** are becoming essential for US cybersecurity teams to detect and respond to threats in near real-time.
AI Use Cases
- Anomaly Detection: AI learns baseline behavior and flags unusual activity that might indicate a breach.
- Automated Threat Hunting: AI sifts through terabytes of log data to find subtle indicators of compromise.
- Phishing Detection: Advanced NLP models analyze email content and sender reputation to spot sophisticated phishing attempts.
- SOAR (Security Orchestration, Automation and Response): AI-driven playbooks can automatically quarantine a device or block an IP address upon detecting a threat.




