<!-- Copyright (c) 2026 defconxt. All rights reserved. -->
<!-- Licensed under AGPL-3.0 — see LICENSE file for details. -->
---
name: automating-cloud-security-remediation
description: >-
  Automate cloud security remediation for AWS, GCP, and Azure using Python SDK
  calls. Auto-fix common misconfigurations including public S3 buckets, open
  security groups, unencrypted storage, excessive IAM permissions, and missing
  logging with rollback capabilities.
domain: cybersecurity
subdomain: automation-scripting
tags:
  - cloud-security
  - aws
  - azure
  - gcp
  - remediation
  - misconfiguration
  - iam
  - s3
version: "1.0"
author: defconxt
license: AGPL-3.0
metadata:
  mitre-attack: ["T1578"]
---

# Automating Cloud Security Remediation

## Overview

Cloud misconfigurations are a leading cause of breaches. This skill automates
detection and remediation of common cloud security issues — public storage,
overly permissive network rules, unencrypted resources, and excessive IAM
privileges. Remediations include dry-run mode, rollback snapshots, and
audit logging for compliance.

Mode: `[MODE: ARCHITECT]` — Secure cloud architecture with automated enforcement.

## Prerequisites

| Requirement | Details |
|---|---|
| Python 3.10+ with `boto3` for AWS (`pip install boto3`) | Required |
| AWS credentials configured (`~/.aws/credentials` or environment variables) | Required |
| IAM permissions for remediation actions (SecurityAudit + specific write) | Required |
| Optional | `azure-identity`, `google-cloud-*` for multi-cloud |

## Key Concepts

### S3 Public Access Remediation

```python
import boto3

def remediate_public_s3(bucket_name: str, dry_run: bool = True) -> dict:
    """Block public access on an S3 bucket."""
    s3 = boto3.client("s3")
    if dry_run:
        config = s3.get_public_access_block(Bucket=bucket_name)
        return {"bucket": bucket_name, "current_config": config, "action": "dry_run"}

    s3.put_public_access_block(
        Bucket=bucket_name,
        PublicAccessBlockConfiguration={
            "BlockPublicAcls": True,
            "IgnorePublicAcls": True,
            "BlockPublicPolicy": True,
            "RestrictPublicBuckets": True,
        },
    )
    return {"bucket": bucket_name, "action": "public_access_blocked"}
```

### Security Group Remediation

```python
def close_open_security_group(sg_id: str, dry_run: bool = True) -> dict:
    """Remove 0.0.0.0/0 ingress rules from a security group."""
    ec2 = boto3.client("ec2")
    sg = ec2.describe_security_groups(GroupIds=[sg_id])["SecurityGroups"][0]
    open_rules = [
        rule for rule in sg["IpPermissions"]
        if any(ip["CidrIp"] == "0.0.0.0/0" for ip in rule.get("IpRanges", []))
    ]
    if dry_run:
        return {"sg_id": sg_id, "open_rules": len(open_rules), "action": "dry_run"}

    for rule in open_rules:
        ec2.revoke_security_group_ingress(GroupId=sg_id, IpPermissions=[rule])
    return {"sg_id": sg_id, "rules_removed": len(open_rules), "action": "remediated"}
```

## Workflow

### Step 1: Audit S3 Buckets

```bash
node scripts/agent.js --action audit-s3 --output /tmp/cloud/s3-audit.json
```

### Step 2: Remediate Public Buckets (Dry Run)

```bash
node scripts/agent.js --action fix-s3 --dry-run --output /tmp/cloud/s3-fix.json
```

### Step 3: Audit Security Groups

```bash
node scripts/agent.js --action audit-sg --output /tmp/cloud/sg-audit.json
```

## Verification

- [ ] S3 audit identifies all public buckets
- [ ] Security group audit finds 0.0.0.0/0 ingress rules
- [ ] Dry-run mode reports changes without applying
- [ ] Remediation actions are logged with before/after state
- [ ] Rollback information is preserved

## References

- [AWS Security Best Practices](https://docs.aws.amazon.com/security/)
- [CIS AWS Foundations Benchmark](https://www.cisecurity.org/benchmark/amazon_web_services)
- [boto3 Documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/)
- [MITRE ATT&CK — Cloud](https://attack.mitre.org/matrices/enterprise/cloud/)
