Future-proof your SOC
with AI automation and platformization

"Organizations are grappling with attacks that are not only highly sophisticated but are executed at speeds that outmatch traditional defense mechanisms." —Wendi Whitmore, Senior VP, Unit 42, Palo Alto Networks

Many Security Operations Centers (SOCs) today are equipped with powerful tools. But complex infrastructures create siloed data sources and operational inefficiencies that hinder quick and effective threat response. Without automation at the core of SecOps, security teams can suffer from:

• Analyst fatigue due to a high number of alerts and false positives
• Elevated mean time to detect (MTTD) due to multiple disjointed detection and investigation technologies
• Increased total cost of ownership (TCO) for security monitoring and defense response
• Inefficient remediation and high mean time to respond (MTTR)

"93% of organizations now focus on AI-driven threat detection and response, significantly improving their operational efficiency and security posture." —Wipro State of Cybersecurity Report 2025

To address these issues, security leaders must streamline SOC operations. Incorporating AI automation and platformization into SOC tools can significantly improve threat detection and response capabilities in a cost-effective manner.

Read this research study and discover how to overcome SOC complexities and inefficiencies.