The MTTR Advantage: AI SOC Agents That Cut Risk by Investigating at Scale
Every hour of delayed incident response costs your organization $800—but AI SOC agents are changing the game.
Security operations teams excel at threat detection but struggle with alert triage and timely incident response. While SIEMs and EDRs flag thousands of security alerts daily, the real bottleneck occurs between alert generation and investigation. This critical delay: Mean Time to Acknowledge (MTTA) gives attackers precious time to escalate privileges and move laterally. This whitepaper reveals how AI SOC agents automate alert triage, reduce MTTR by 80%, and minimize breach risk through autonomous investigation of every alert within minutes.
Download this white paper to Learn:
- How AI SOC agents reduce MTTR by 80%: Compress Mean Time to Resolution from hours to minutes by autonomously investigating alerts the moment they arrive, virtually eliminating dangerous acknowledgment delays.
- Why traditional SOAR automation fails: Understand how AI-powered autonomous investigation differs from basic playbook automation and why it's essential for modern security operations.
- The $500K risk reduction model: Learn how investigating 4,000 additional alerts annually with AI SOC agents can avoid $500,000 in potential breach costs through improved coverage.
- Real-world alert investigation examples: Discover how AI SOC agents uncover hidden threats in routine alerts that human analysts typically skip due to resource constraints.