Dropzone AI, a provider of AI SOC analysts, announced today its new integration with the CrowdStrike Falcon cybersecurity platform to automate alert triage and investigation within Dropzone, enabling SOC teams to focus on high-value security tasks and reduce manual investigation time.
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Cybersecurity teams currently spend an estimated 20-40% of their time on alert investigations, often at the cost of proactive security projects. By delegating tedious and repetitive Tier 1 alert investigations to Dropzone AI, SOC analysts can reclaim their time and energy on critical tasks such as incident response, threat hunting and operational improvements.
This new integration allows Dropzone AI to leverage CrowdStrike’s rich security data and alerts for rapid analysis and investigation. Joint customers can quickly act on alerts using Dropzone’s AI SOC analyst, significantly reducing Mean Time to Acknowledge (MTTA) and enabling faster threat remediation. The AI SOC analyst autonomously handles complex investigative tasks, such as reconstructing process trees and identifying obfuscation techniques, enabling more efficient differentiation between benign and malicious activity compared to traditional approaches.
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“With the powerful new integration between Dropzone AI and CrowdStrike, customers can improve SOC efficiency and tackle the growing volume of alerts more effectively,” said Edward Wu, Founder of Dropzone AI. “Our integration streamlines essential but repetitive investigative tasks, freeing up SOC teams to focus on the security initiatives that drive the greatest impact.”
A Solution for the “Schrödinger’s Alert” Dilemma:
In today’s SOCs, an unresolved alert is an indeterminate entity – a “Schrödinger’s alert” – which could represent either a benign anomaly or a genuine threat. Dropzone AI’s solution collapses this ambiguity by autonomously triaging incoming alerts within minutes, analyzing indicators of compromise (IOCs), and providing human analysts with detailed analysis and evidence of why the alerts are either true positives or safely disregarded as false alarms. This targeted approach reduces alert fatigue and accelerates SOC productivity.
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