“Growing Adoption of AI and ML for Threat Detection”
- Organizations are increasingly integrating AI and ML into endpoint security to enhance threat detection and automate response
- AI algorithms help detect behavioral anomalies and identify sophisticated threats such as zero-day attacks
- ML models enable real-time monitoring of endpoints and reduce dependence on manual security teams
- The automation provided by AI/ML reduces incident response time and improves risk mitigation
- For instance, companies such as CrowdStrike and SentinelOne deploy ML-driven solutions to detect fileless malware and provide advanced endpoint protection
