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SkillsAnalyzing Cloud Storage Access Patterns
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Cloud Security🟡 Intermediate

Analyzing Cloud Storage Access Patterns

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics.

3 min read2 code examples

Instructions

  1. Install dependencies: pip install boto3 requests
  2. Query CloudTrail for S3 Data Events using AWS CLI or boto3.
  3. Build access baselines: hourly request volume, per-user object counts, source IP history.
  4. Detect anomalies:
  • After-hours access (outside 8am-6pm local time)
  • Bulk downloads: >100 GetObject calls from single principal in 1 hour
  • New source IPs not seen in the prior 30 days
  • ListBucket enumeration spikes (reconnaissance indicator)
  1. Generate prioritized findings report.
python scripts/agent.py --bucket my-sensitive-data --hours-back 24 --output s3_access_report.json

Examples

CloudTrail S3 Data Event

{"eventName": "GetObject", "requestParameters": {"bucketName": "sensitive-data", "key": "financials/q4.xlsx"},
 "sourceIPAddress": "203.0.113.50", "userIdentity": {"arn": "arn:aws:iam::123456789012:user/analyst"}}

Verification Criteria

Confirm successful execution by validating:

  • [ ] All prerequisite tools and access requirements are satisfied
  • [ ] Each workflow step completed without errors
  • [ ] Output matches expected format and contains expected data
  • [ ] No security warnings or misconfigurations detected
  • [ ] Results are documented and evidence is preserved for audit

Compliance Framework Mapping

This skill supports compliance evidence collection across multiple frameworks:

  • SOC 2: CC6.1 (Logical Access), CC6.6 (System Boundaries), CC7.1 (Monitoring)
  • ISO 27001: A.8.1 (Asset Management), A.13.1 (Network Security), A.14.1 (System Acquisition)
  • NIST 800-53: AC-3 (Access Enforcement), SC-7 (Boundary Protection), CM-7 (Least Functionality)
  • NIST CSF: PR.AC (Access Control), PR.DS (Data Security), DE.CM (Continuous Monitoring)

Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.

Deploying This Skill with Claw GRC

Agent Execution

Register this skill with your Claw GRC agent for automated execution:

# Install via CLI
npx claw-grc skills add analyzing-cloud-storage-access-patterns

# Or load dynamically via MCP
grc.load_skill("analyzing-cloud-storage-access-patterns")

Audit Trail Integration

When executed through Claw GRC, every step of this skill generates tamper-evident audit records:

  • SHA-256 chain hashing ensures no step can be modified after execution
  • Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
  • Trust score impact — successful execution increases your agent's trust score

Continuous Compliance

Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.

Use with Claw GRC Agents

This skill is fully compatible with Claw GRC's autonomous agent system. Deploy it to any registered agent via MCP, and every execution will be logged in the tamper-evident audit trail.

// Load this skill in your agent
npx claw-grc skills add analyzing-cloud-storage-access-patterns
// Or via MCP
grc.load_skill("analyzing-cloud-storage-access-patterns")

Tags

analyzingcloudstorageaccess

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Skill Details

Domain
Cloud Security
Difficulty
intermediate
Read Time
3 min
Code Examples
2

On This Page

InstructionsExamplesVerification CriteriaCompliance Framework MappingDeploying This Skill with Claw GRC

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