Explore in-depth guides and case studies on machine-learning PCAP analysis, AI packet inspection, and automated security reporting.
Step-by-step tutorials on detecting malware, C2 beaconing, credential exposure, and protocol anomalies in packet captures.
Real-world case studies mapping observed network traffic to MITRE ATT&CK techniques and compliance frameworks like PCI-DSS and HIPAA.
Guides on integrating AI-powered deep packet inspection into SOC workflows, Claude Desktop, and custom security automation pipelines.
Got a capture too big to upload or open? Trim it to the packets that matter with editcap and tshark — strip payloads or isolate one conversation — without losing the TCP signal that explains a slow transfer.
We run a real GuLoader-to-AgentTesla capture through PcapAI: cleartext FTP credentials (T1040) and FTP data exfiltration (T1048.003), traced packet by packet.
A fake Claude installer used ClickFix to drop a macOS stealer. We trace its curl HTTP C2 beacon and 11 MB of plaintext exfiltration packet by packet.
Compare PcapAI and Wireshark for PCAP analysis. AI-generated MITRE-mapped PDF reports in under 5 minutes vs hours of manual packet inspection.
Learn the 10 critical insights every PCAP analysis report must include. From risk scores to remediation roadmaps, discover what separates pro reports.
Enable AI agents like Claude to perform deep packet inspection and network forensics securely on your local machine with the PcapAI MCP Server integration.
Automated PCAP reporting cuts analysis time from 5 hours to 4 minutes. Why SOC teams are replacing manual Wireshark workflows with AI-driven analysis.
AI-powered PCAP analysis cuts mean-time-to-resolution, surfaces credential leaks, and maps findings to MITRE ATT&CK — no Wireshark required.
