Analyzing Cloud Storage Access Patterns
mukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-cloud-storage-access-patternsby mukul97554a798831d2266a3ca61ce68a7acb80b81160d57Apache-2.0Listed Oct 9, 2026Updated Oct 9, 2026
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| LICENSE | 11 KB | text/plain |
| references/api-reference.md | 1.5 KB | text/markdown |
| scripts/agent.py | 7.9 KB | text/plain |
| SKILL.md | 2.3 KB | text/markdown |
Source and attribution
Source:mukul975/Anthropic-Cybersecurity-Skillsinskills/analyzing-cloud-storage-access-patternsat commit54a7988
License: Apache-2.0
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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