Dropzone AI automates context gathering by retrieving relevant data from security alerts, previous investigations, and communication channels like Slack. It mimics expert analyst inquiries by engaging with involved parties, asking relevant follow-up questions, and summarizing responses in structured reports. This reduces manual effort for SOC analysts and accelerates security incident investigations.

Dropzone AI integrates with collaboration and security tools such as Slack, Jira, and ServiceNow to streamline security operations. These integrations allow it to automatically collect context, interact with security teams, and enrich investigations with real-time insights during active security incidents.

Yes, Dropzone AI significantly reduces investigation time by automating the context inquiry process. It retrieves critical details from previous alerts, correlates historical incidents, and autonomously gathers input from relevant stakeholders—allowing SOC teams to focus on real threats instead of spending hours manually collecting information.

Dropzone AI leverages large language models (LLMs) and contextual memory to ensure inquiries are precise and relevant. By integrating with organizational security tools and maintaining historical investigative data, it tailors questions based on past incidents, policy frameworks, and real-time security intelligence—providing accurate insights to SOC teams.