Online PCAP analysis, AI anomaly detection and automated security reports - in seconds. Turn packet captures into actionable network-traffic insights for DevOps, NetOps and SecOps teams.
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Our AI packet analyzer performs deep packet inspection and machine-learning PCAP analysis to decode every protocol layer, map network flow, and surface hidden patterns - turning raw PCAP data into crystal-clear insight in seconds.
Leverage AI anomaly detection network models to flag lateral movement, DNS-tunneling exfiltration, covert C2 beacons, and zero-day patterns - accelerating PCAP cybersecurity detection and incident response.
Run advanced network forensics to uncover plaintext credentials, NTLM hashes, Kerberos tickets and more across SMB, HTTP, FTP and mail protocols - powering swift malware detection and PCAP-driven incident response.
Instant dashboards reveal latency, throughput, retransmissions and congestion. AI correlates network traffic monitoring metrics to deliver proactive optimisation tips - long before users notice degradation.
Automate everything with REST or CLI - auto-upload PCAPs from CI, stream logs for PCAP log analysis, and push findings straight into your SIEM packet capture pipeline.
Receive stack-ranked AI security reports with remediation guidance mapped to MITRE ATT&CK. Each finding links to best-practice docs, so SecOps can close gaps fast.
See full FAQ here
Most captures under 20 MB finish in less than five minutes. Large files are queued in our high‑performance cluster and typically complete within 10‑15 minutes.
We accept .pcap
and .pcapng
files. Compressed archives (.zip
, .gz
, .bz2
) are not supported. Mixed‑format uploads are automatically detected and normalized.
Absolutely. Files are encrypted at rest and in transit using TLS 1.3. All analyses run in isolated containers and are automatically purged after 1 hour.