Autonomous AI That Investigates Every Alert

Pre-trained on 90+ security tools

How AI SOC Analysts Investigate Security Alerts

Investigate

As soon as Dropzone AI receives an alert, it begins an investigation—replicating expert analyst techniques and using multiple tools and data sources to gather evidence. If needed, it can even interview affected users to confirm details and clarify intent.

Adapt

Dropzone AI learns your environment through continuous investigations and feedback. It understands your policies, risk tolerance, and workflows, adapting its behavior accordingly. You can guide its actions to align precisely with your SOC procedures.

Contain

When an investigation concludes, Dropzone AI takes the right action—dismissing false positives, notifying your team, escalating credible threats, or containing incidents to prevent further damage. Every response is informed by the full investigation context.

Business Benefits

Reduce Mean Time to Resolution (MTTR) by 90%.

Dropzone’s patented LLM system is pre-trained on expert investigative techniques for common alert types using commercial security tools. It tirelessly reasons through thousands of alerts a day and provides detailed reports.

Easy Integration with Your Security Stack

Dropzone integrates with your security & data tools—SIEM, EDR, Firewall, etc.—to receive alerts and conduct investigations.

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Filter Out False Positives

Protect your team’s time with AI-driven alert triage that scales to handle spikes and works 24/7.

No Black Boxes

Each investigation includes findings in plain English so that you can follow the AI SOC analyst’s reasoning.

Learns Your Environment

Context memory learns details about the environment to improve future investigations. It learns through input and automatically on its own.

Speed Up Ad-hoc Security Investigations

The chatbot feature speeds up Tier 2 investigations by automating data gathering and threat hunting.

Contain Threats Fast

Auto-containment actions neutralize threats and buy your IR team time, such as blocking IPs and disabling users, while they work on remediation.

How It Works

Collect

Alert

Mass read operations on S3 bucket

Investigate

Top Findings

1. ‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams.
2. No permission errors or suspicious activities associated with the user.
3. User logged in from an IP address where they have consistently logged in from in the past.
4. User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3.

Conclude

Accepted behavior due to scheduled backup and requires no further action

Alert marked Benign and dismissed

Contain

No auto-containment action required

Adapt

Context memory updated to remember user 'tomb' permissions

SOC Integration & Secure Deployment Architecture

Self-Guided Demo

Test drive our hands-on interactive environment. Experience our AI SOC analyst autonomously investigate security alerts in real-time, just as it would in your SOC.

Security & Privacy

Built for Trust

Security

Single-tenant architecture. SOC 2 Type II certified.

Transparency

Evidence for every investigation and chat response. Full audit trail.

Privacy

Your client data is used only for investigations. Never for model training.

Frequently Asked Questions

What is Dropzone AI, and how does it improve security operations?

Dropzone AI is an autonomous AI SOC Analyst that investigates security alerts, mimicking the reasoning process of expert analysts. It triages alerts, correlates data, and provides decision-ready reports—helping SOC teams reduce manual investigation time and improve security response efficiency.

How does Dropzone AI integrate with existing security tools?

Dropzone AI seamlessly integrates with SIEM, SOAR, EDR, and cloud security tools like Splunk, CrowdStrike, Microsoft Defender, and AWS Security Hub. It ingests security alerts from these platforms, enriches them with context, and autonomously performs full investigations to reduce analyst workload.

Can Dropzone AI reduce false positives and improve alert accuracy?

Yes, Dropzone AI uses large language models (LLMs) and contextual memory to filter out false positives. By analyzing security logs, correlating alerts, and applying investigative reasoning, it reduces noise and ensures security teams focus on real threats.

How quickly does Dropzone AI investigate security alerts?

Dropzone AI can investigate security alerts in minutes, compared to the hours it takes human analysts. By automating repetitive tasks and applying recursive AI reasoning, it dramatically shortens Mean Time to Resolution (MTTR) and helps SOC teams respond faster to threats.

Is Dropzone AI suitable for small SOC teams and large enterprises?

Yes, Dropzone AI is scalable for both small security teams and large enterprises. It allows small teams to extend their capabilities without hiring more analysts, while enabling large enterprises to manage high alert volumes with AI-driven investigations.