Need a relentless network alert analyst?

Dropzone’s specialized AI agent performs end-to-end investigations and generates fast, detailed and accurate reports for every network alert.

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5x

faster mean time to respond

85%

reduction in manual alert investigation

300+

deployments worldwide

Gartner Cool Vendor for the Modern SOC

Autonomous Firewall Alert Investigation

Dropzone's AI analyst automatically investigates PANW Firewall alerts by mimicking the thought process of expert human analysts.

Note: everything in this demo is the actual output of our product in a realistic environment.

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Dropzone AI | Palo Alto FW and MS Defender Investigation

Autonomous Palo Alto Firewall Threat Log Investigation

Dropzone's AI SOC analyst automatically investigates Palo Alto Next-Generation Firewall (NGFW) threat logs providing you with a full investigation report and findings.

Note: Everything in this demo is the actual output of our product

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Dropzone investigates all network alerts, mimicking the thought process of expert analysts.

Collect

For each investigation, Dropzone pulls relevant data from your IDS, FW, SIEMs and other security data sources, such as network logs.

Comprehend

Dropzone leverages LLMs, its security pre-training, your various logs and organizational context. It then draws correlations and reaches definitive conclusions.

Conclude

Dropzone generates full reports with severity conclusion, executive summaries and key evidence.

Integrations

Dropzone integrates with your security tools and data stack to comprehend your full security context.

Osquery

Nuclei

Splunk

Tshark

Palo Alto Networks Firewall

Censys

VirusTotal

National Vulnerability Database

Reduce manual alert analysis time by 95%

When Dropzone handles investigations, your analysts can focus on addressing the real threats.

Reduce MTTR

Fast forward your triage, investigation, and response down to minutes.

Focus on real threats

Get to more consistent and accurate conclusions with Dropzone’s detailed investigations.

Free your analysts for higher-value work

Make each investigation and response more contextual to your customer’s specific environment.

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.

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Want to test drive Dropzone AI?

Dropzone AI handles many types of security alerts, including phishing. Forward a suspicious email to scan@try-dropzone.ai and get a tailored analysis report in an email reply in minutes.

Forward a suspicious email to scan@try-dropzone.ai

Frequently Asked Questions

How does Dropzone AI detect and investigate network threats?

Dropzone AI autonomously investigates network security alerts by analyzing traffic patterns, firewall logs, and intrusion detection system (IDS) alerts. It integrates with security tools like Palo Alto Networks, Splunk, and Wireshark to identify unauthorized access, lateral movement, and potential data exfiltration. By automating network threat investigations, it reduces manual analysis time and helps SOC teams prioritize real threats.

How does Dropzone AI integrate with existing network security tools?

Dropzone AI connects with SIEMs, firewalls, and network monitoring tools, ingesting alerts from platforms like Palo Alto Networks, Suricata, and Zeek. It enhances network security by correlating multiple security events, filtering out false positives, and providing detailed investigative reports to accelerate response times.

Can Dropzone AI reduce the time spent on manual network alert analysis?

Yes, Dropzone AI automates the investigation of network alerts, significantly reducing the need for manual triage. It applies AI-driven analysis to prioritize alerts, filter out low-risk events, and generate structured reports—allowing security teams to focus on active threats and reduce Mean Time to Resolution (MTTR).

How does Dropzone AI improve accuracy in network threat detection?

Dropzone AI leverages AI-driven correlation across firewall logs, endpoint activity, and intrusion detection alerts. By combining organizational context with historical security data, it improves threat detection accuracy, reduces alert fatigue, and ensures high-fidelity investigations for security teams.

How is AI used in network security?

Artificial Intelligence (AI) enhances network security by continuously monitoring network traffic to detect anomalies and potential threats. AI systems analyze vast amounts of data to identify patterns that may indicate malicious activities, such as unauthorized access attempts or data exfiltration. By learning normal network behavior, AI can quickly recognize and respond to irregularities, reducing the time to detect and mitigate security incidents.