Analyze proxy, DNS, and firewall traffic logs to uncover unapproved SaaS and cloud services. Group usage by domain, compare it with approved applications, and produce a report with traffic volumes, user counts, risk scores, and remediation recommendations.
- Finding unapproved SaaS and cloud services
- Measuring traffic volumes and users by service
- Prioritizing services by potential data leakage risk
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.
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andycungkrinx91/konoha☆ 9Updated Oct 19, 2026
tespit etmeunauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.
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MustafaKemal0146/fetih☆ 5Updated Oct 11, 2026
Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills☆ 4Updated Mar 20, 2026
Detect unauthorized SaaS and cloud service usage (shadow IT) by analyzing proxy logs, DNS query logs, and netflow data using Python pandas for traffic pattern analysis and domain classification.
The English summary is being prepared. Showing the original description.
aniket2348823/Vul-Agent☆ 2Updated Jun 9, 2026