Dropzone AI

• Having every Microsoft Sentinel or Splunk alert investigated overnight so the morning shift reviews finished reports ranked urgent, notable or informational instead of a raw queue
• Triaging user-reported phishing emails by parsing headers, links and attachments and checking sender, domain and URL reputation
• Investigating an impossible-travel or new-device Okta sign-in and asking the user over Slack whether it was them before closing or escalating
• Suspending a compromised user in Okta or containing a host through CrowdStrike after a malicious verdict, in one click or automatically
• Running scheduled MITRE ATT&CK hunt packs across Splunk, Sentinel or CrowdStrike NG-SIEM to look for activity that never raised an alert
• Giving an MSSP's analysts completed investigations across many client tenants, managed from one fleet view

Dropzone AI is one of the more mature options for handing first-line alert triage to an AI agent: it has public documentation, an API reference, published release notes and a self-guided demo, which few AI SOC products offer. Its design choice is to investigate through your existing tools' APIs rather than ingest data, so it fits teams with a mixed SIEM and EDR stack and no appetite for a migration, and its reports expose the evidence behind each verdict so analysts can audit rather than redo the work. The real cost is in tuning: verdicts improve as you connect more data sources and feed Context Memory and Custom Strategies, and Dropzone's own onboarding plan runs up to two months after the proof of concept. In a POC, measure how often analysts agree with its conclusions on your alert types, check whether the concurrent-investigation limit keeps up with your peak volume, and get a clear answer on how investigation capacity is counted in the quote. Treat the threat intelligence agent as roadmap until it ships.

About Dropzone AI

Dropzone AI works as a layer on top of the security tools a team already runs. Alerts flow in from alert sources such as Splunk, Microsoft Sentinel, Google Security Operations, CrowdStrike, SentinelOne, Microsoft Defender, AWS, Okta or an email security gateway, and for each one the AI SOC Analyst forms hypotheses about why it fired, queries the relevant tools through their APIs (composing SIEM queries, checking identity and endpoint data, enriching indicators with bundled threat intelligence, parsing packet captures or phishing attachments), keeps forming new lines of inquiry until it reaches a conclusion, and writes a report with a verdict, a priority, key findings, an evidence locker and recommended containment actions. Nothing is migrated or normalized first, and access defaults to read-only. The product is tuned to an organization rather than configured with playbooks: Context Memory stores facts about your environment (learned when analysts correct a verdict, added by hand, or imported from Confluence, Jira or ServiceNow exports), Custom Strategies encode policy that shifts conclusions and priorities, and an optional AI Interviewer messages the employee involved in an alert over Slack or Microsoft Teams to confirm or refute what it found. Remediator integrations with CrowdStrike, Microsoft 365 and Defender, Okta and Google Workspace offer one-click containment, and admins can write Python response actions that run on more than 50 triggers. AI Threat Hunter, generally available since July 2026, runs hunt packs mapped to MITRE ATT&CK across the SIEM, EDR and cloud on a schedule or on demand and reports findings plus posture issues such as visibility gaps and misconfigurations; an AI Threat Intel Analyst that turns new advisories into hunt packs is announced for fall 2026. Each customer gets a dedicated AWS-hosted tenant (EU in-region deployment is available), with a Docker connector for reaching on-premises tools, a REST API and multi-tenant fleet management for MSSPs. Pricing is quoted, sold as one package covering all available agents. The tradeoffs: it is SaaS only, the quality of its verdicts depends on how many data sources you connect and how much context you teach it, onboarding after a proof of concept is a guided program of two weeks to two months, and it sits alongside your SIEM and SOAR rather than replacing them.