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.
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
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.
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.
Note about privacy:
- All emails are deleted after analysis
- No emails will be used to train AI models
- We will collect the email address that is submitted and add it to our mailing list. You may unsubscribe at any time.
By using our service, you agree to the above
Forward a suspicious email to scan@try-dropzone.ai
Or upload an .eml file (click to expand)
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Dropzone AI Investigates
Receive Tailored Report
Note about privacy:
- All emails are deleted after analysis
- No emails will be used to train AI models
- We will collect the email address that is submitted and add it to our mailing list. You may unsubscribe at any time.
By using our service, you agree to the above
- All emails are deleted after analysis
- No emails will be used to train AI models
- We will collect the email address that is submitted and add it to our mailing list. You may unsubscribe at any time.
By using our service, you agree to the above
Get a sample report
Enter your work email to receive a phishing report example.
Thank you! Your submission has been received!
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Frequently Asked Questions
Our answers to frequent 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. This proactive approach helps organizations defend against sophisticated cyber threats more effectively.
What is the role of AI in detecting suspicious network traffic?
AI plays a crucial role in detecting suspicious network traffic by employing machine learning algorithms to analyze real-time data. These algorithms can identify unusual patterns, such as unexpected data transfers or communication with known malicious domains, which may signify cyber threats. By automating the detection process, AI reduces the burden on security teams and enhances the speed and accuracy of threat identification, leading to more efficient incident response and improved overall network security.
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