analyzing-cloud-storage-access-patterns

SKILLFlujo de trabajocomunidad
v0.0.0seikaikyoMITActualizado hace 6 dFuente →

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when inv

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
2Estrellas del repo
1Clientes
1Formatos
hace 6 dÚltima actualización
Skill
Autorseikaikyo
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor
Copilot
ChatGPT
Gemini
Acerca de

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

Palabras clave
skillclaude