Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Maintain comprehensive IT asset inventory using automated discovery, AWS Config rules, cloud asset discovery scripts, CMDB integration, and tagging enforcement for compliance and operational visibility.
asset_categories:
compute:
cloud:
- EC2 instances / Azure VMs / GCE instances
- Lambda functions / Azure Functions / Cloud Functions
- ECS/EKS clusters and tasks
- Container images in registries
on_premise:
- Physical servers
- Virtual machines (VMware, Hyper-V)
storage:
- S3 buckets / Azure Storage / GCS buckets
- EBS volumes / Managed Disks / Persistent Disks
- RDS instances / Azure SQL / Cloud SQL
- DynamoDB tables / Cosmos DB / Firestore
- EFS / Azure Files / Filestore
network:
- VPCs / VNets / VPC Networks
- Load balancers (ALB, NLB, Azure LB, GCP LB)
- DNS zones and records
- VPN gateways and connections
- CDN distributions
security:
- IAM users, roles, and policies
- KMS keys / Key Vault keys
- Certificates (ACM, Key Vault, Certificate Manager)
- Security groups / NSGs / Firewall rules
- WAF configurations
applications:
- SaaS subscriptions
- Licensed software
- Custom applications
- APIs and integrations
endpoints:
- Laptops and desktops
- Mobile devices
- Printers and peripherals
asset_record_schema:
required_fields:
asset_id: "Unique identifier (auto-generated)"
name: "Human-readable name"
type: "Category from above taxonomy"
provider: "AWS / Azure / GCP / On-Premise / SaaS"
account_or_subscription: "Cloud account ID"
region: "Deployment region/location"
owner: "Team or individual responsible"
data_classification: "Public / Internal / Confidential / Restricted"
environment: "Production / Staging / Development / Sandbox"
status: "Active / Decommissioning / Retired"
created_date: "When the asset was provisioned"
last_seen: "Last automated discovery timestamp"
optional_fields:
cost_center: "For cost allocation"
compliance_scope: "SOC2 / HIPAA / PCI / None"
backup_policy: "Backup schedule reference"
dr_tier: "Critical / Essential / Standard / Non-essential"
expiration_date: "For time-limited resources"
tags: "Key-value pairs from cloud provider"
dependencies: "Upstream and downstream services"
#!/usr/bin/env bash
# aws-asset-discovery.sh - Discover and inventory all AWS resources
OUTPUT_DIR="./asset-inventory/aws/$(date +%Y-%m-%d)"
mkdir -p "$OUTPUT_DIR"
ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text)
echo "=== AWS Asset Discovery for Account $ACCOUNT_ID ==="
# EC2 Instances
echo "--- EC2 Instances ---"
aws ec2 describe-instances \
--query 'Reservations[*].Instances[*].{
InstanceId:InstanceId,
Type:InstanceType,
State:State.Name,
AZ:Placement.AvailabilityZone,
VpcId:VpcId,
PrivateIP:PrivateIpAddress,
PublicIP:PublicIpAddress,
LaunchTime:LaunchTime,
Name:Tags[?Key==`Name`].Value|[0],
Owner:Tags[?Key==`Owner`].Value|[0],
Environment:Tags[?Key==`Environment`].Value|[0]
}' --output json | jq 'flatten' > "$OUTPUT_DIR/ec2-instances.json"
# RDS Databases
echo "--- RDS Instances ---"
aws rds describe-db-instances \
--query 'DBInstances[*].{
DBInstanceId:DBInstanceIdentifier,
Engine:Engine,
EngineVersion:EngineVersion,
Class:DBInstanceClass,
Status:DBInstanceStatus,
MultiAZ:MultiAZ,
Encrypted:StorageEncrypted,
Endpoint:Endpoint.Address,
BackupRetention:BackupRetentionPeriod
}' --output json > "$OUTPUT_DIR/rds-instances.json"
# S3 Buckets
echo "--- S3 Buckets ---"
aws s3api list-buckets --query 'Buckets[*].{Name:Name,Created:CreationDate}' --output json | \
jq -c '.[]' | while read -r bucket; do
name=$(echo "$bucket" | jq -r '.Name')
region=$(aws s3api get-bucket-location --bucket "$name" --query 'LocationConstraint' --output text 2>/dev/null)
encryption=$(aws s3api get-bucket-encryption --bucket "$name" 2>/dev/null | jq -r '.ServerSideEncryptionConfiguration.Rules[0].ApplyServerSideEncryptionByDefault.SSEAlgorithm' 2>/dev/null)
versioning=$(aws s3api get-bucket-versioning --bucket "$name" --query 'Status' --output text 2>/dev/null)
echo "{\"Name\":\"$name\",\"Region\":\"${region:-us-east-1}\",\"Encryption\":\"${encryption:-none}\",\"Versioning\":\"${versioning:-Disabled}\"}"
done | jq -s '.' > "$OUTPUT_DIR/s3-buckets.json"
# Lambda Functions
echo "--- Lambda Functions ---"
aws lambda list-functions \
--query 'Functions[*].{
Name:FunctionName,
Runtime:Runtime,
MemorySize:MemorySize,
Timeout:Timeout,
LastModified:LastModified,
CodeSize:CodeSize
}' --output json > "$OUTPUT_DIR/lambda-functions.json"
# VPCs and Security Groups
echo "--- VPCs ---"
aws ec2 describe-vpcs \
--query 'Vpcs[*].{
VpcId:VpcId,
CidrBlock:CidrBlock,
State:State,
IsDefault:IsDefault,
Name:Tags[?Key==`Name`].Value|[0]
}' --output json > "$OUTPUT_DIR/vpcs.json"
echo "--- Security Groups ---"
aws ec2 describe-security-groups \
--query 'SecurityGroups[*].{
GroupId:GroupId,
GroupName:GroupName,
VpcId:VpcId,
Description:Description,
IngressRuleCount:length(IpPermissions),
EgressRuleCount:length(IpPermissionsEgress)
}' --output json > "$OUTPUT_DIR/security-groups.json"
# IAM Users and Roles
echo "--- IAM Users ---"
aws iam list-users \
--query 'Users[*].{UserName:UserName,Created:CreateDate,PasswordLastUsed:PasswordLastUsed}' \
--output json > "$OUTPUT_DIR/iam-users.json"
echo "--- IAM Roles ---"
aws iam list-roles \
--query 'Roles[*].{RoleName:RoleName,Created:CreateDate,LastUsed:RoleLastUsed.LastUsedDate}' \
--output json > "$OUTPUT_DIR/iam-roles.json"
# EKS Clusters
echo "--- EKS Clusters ---"
aws eks list-clusters --query 'clusters' --output json | jq -r '.[]' | while read -r cluster; do
aws eks describe-cluster --name "$cluster" \
--query 'cluster.{Name:name,Version:version,Status:status,Endpoint:endpoint,Created:createdAt}'
done | jq -s '.' > "$OUTPUT_DIR/eks-clusters.json" 2>/dev/null
# KMS Keys
echo "--- KMS Keys ---"
aws kms list-keys --query 'Keys[*].KeyId' --output text | tr '\t' '\n' | while read -r key_id; do
aws kms describe-key --key-id "$key_id" \
--query 'KeyMetadata.{KeyId:KeyId,Description:Description,State:KeyState,Created:CreationDate,Manager:KeyManager}' 2>/dev/null
done | jq -s '.' > "$OUTPUT_DIR/kms-keys.json"
# Generate summary
echo "=== Inventory Summary ==="
echo "EC2 Instances: $(jq 'length' "$OUTPUT_DIR/ec2-instances.json")"
echo "RDS Instances: $(jq 'length' "$OUTPUT_DIR/rds-instances.json")"
echo "S3 Buckets: $(jq 'length' "$OUTPUT_DIR/s3-buckets.json")"
echo "Lambda Functions: $(jq 'length' "$OUTPUT_DIR/lambda-functions.json")"
echo "VPCs: $(jq 'length' "$OUTPUT_DIR/vpcs.json")"
echo "Security Groups: $(jq 'length' "$OUTPUT_DIR/security-groups.json")"
echo "IAM Users: $(jq 'length' "$OUTPUT_DIR/iam-users.json")"
echo "IAM Roles: $(jq 'length' "$OUTPUT_DIR/iam-roles.json")"
echo "Inventory saved to $OUTPUT_DIR"
# Enable AWS Config recorder
aws configservice put-configuration-recorder \
--configuration-recorder name=default,roleARN=arn:aws:iam::123456789012:role/aws-config-role \
--recording-group allSupported=true,includeGlobalResourceTypes=true
# Start recording
aws configservice start-configuration-recorder --configuration-recorder-name default
# Enable required-tags Config rule
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "required-tags",
"Source": {
"Owner": "AWS",
"SourceIdentifier": "REQUIRED_TAGS"
},
"InputParameters": "{\"tag1Key\":\"Owner\",\"tag2Key\":\"Environment\",\"tag3Key\":\"CostCenter\",\"tag4Key\":\"DataClassification\"}",
"Scope": {
"ComplianceResourceTypes": [
"AWS::EC2::Instance",
"AWS::RDS::DBInstance",
"AWS::S3::Bucket",
"AWS::Lambda::Function"
]
}
}'
# Config rule for encryption compliance
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "encrypted-volumes",
"Source": {
"Owner": "AWS",
"SourceIdentifier": "ENCRYPTED_VOLUMES"
}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "rds-storage-encrypted",
"Source": {
"Owner": "AWS",
"SourceIdentifier": "RDS_STORAGE_ENCRYPTED"
}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "s3-bucket-server-side-encryption-enabled",
"Source": {
"Owner": "AWS",
"SourceIdentifier": "S3_BUCKET_SERVER_SIDE_ENCRYPTION_ENABLED"
}
}'
# Query AWS Config for all resources of a type
aws configservice list-discovered-resources --resource-type AWS::EC2::Instance
aws configservice list-discovered-resources --resource-type AWS::RDS::DBInstance
# Advanced query with AWS Config SQL
aws configservice select-resource-config \
--expression "SELECT resourceId, resourceType, tags, configuration.instanceType
WHERE resourceType = 'AWS::EC2::Instance'
AND tags.tag('Environment') = 'production'"
# Get compliance summary
aws configservice get-compliance-summary-by-config-rule
aws configservice get-compliance-summary-by-resource-type
# AWS Tag Policy (applied via AWS Organizations)
tag_policy:
tags:
Owner:
tag_key:
"@@assign": "Owner"
enforced_for:
"@@assign":
- "ec2:instance"
- "rds:db"
- "s3:bucket"
- "lambda:function"
Environment:
tag_key:
"@@assign": "Environment"
tag_value:
"@@assign":
- "production"
- "staging"
- "development"
- "sandbox"
DataClassification:
tag_key:
"@@assign": "DataClassification"
tag_value:
"@@assign":
- "public"
- "internal"
- "confidential"
- "restricted"
CostCenter:
tag_key:
"@@assign": "CostCenter"
# Terraform - Enforce tags on all resources with default_tags
provider "aws" {
region = "us-east-1"
default_tags {
tags = {
ManagedBy = "terraform"
Environment = var.environment
Owner = var.team_name
CostCenter = var.cost_center
DataClassification = var.data_classification
}
}
}
#!/usr/bin/env bash
# multi-cloud-discovery.sh - Discover assets across AWS, Azure, and GCP
OUTPUT_DIR="./asset-inventory/multi-cloud/$(date +%Y-%m-%d)"
mkdir -p "$OUTPUT_DIR"
echo "=== Multi-Cloud Asset Discovery ==="
# AWS - using Resource Groups Tagging API
echo "--- AWS Resources ---"
aws resourcegroupstaggingapi get-resources \
--query 'ResourceTagMappingList[*].{ARN:ResourceARN,Tags:Tags}' \
--output json > "$OUTPUT_DIR/aws-all-resources.json"
echo "AWS resources: $(jq 'length' "$OUTPUT_DIR/aws-all-resources.json")"
# Azure - using Resource Graph
echo "--- Azure Resources ---"
az graph query -q "Resources | project name, type, location, resourceGroup, subscriptionId, tags" \
--output json > "$OUTPUT_DIR/azure-all-resources.json" 2>/dev/null
# GCP - using Cloud Asset Inventory
echo "--- GCP Resources ---"
gcloud asset search-all-resources \
--scope="organizations/ORG_ID" \
--format=json > "$OUTPUT_DIR/gcp-all-resources.json" 2>/dev/null
# Find untagged resources
echo "=== Untagged Resources ==="
jq '[.[] | select(.Tags == null or .Tags == [])] | length' "$OUTPUT_DIR/aws-all-resources.json"
echo "Discovery complete. Results in $OUTPUT_DIR"
"""
CMDB sync script - Normalize cloud assets and push to CMDB API.
"""
import json
import requests
from datetime import datetime, timezone
class CMDBSync:
def __init__(self, cmdb_url, api_token):
self.cmdb_url = cmdb_url
self.headers = {
"Authorization": f"Bearer {api_token}",
"Content-Type": "application/json",
}
def normalize_aws_instance(self, instance):
"""Convert AWS EC2 instance to common asset schema."""
tags = {t["Key"]: t["Value"] for t in (instance.get("Tags") or [])}
return {
"asset_id": f"aws:{instance['InstanceId']}",
"name": tags.get("Name", instance["InstanceId"]),
"type": "compute",
"provider": "aws",
"region": instance.get("AZ", "unknown")[:-1],
"configuration": {
"instance_type": instance.get("Type"),
"state": instance.get("State"),
"vpc_id": instance.get("VpcId"),
},
"owner": tags.get("Owner", "unassigned"),
"environment": tags.get("Environment", "unknown"),
"data_classification": tags.get("DataClassification", "unknown"),
"status": "active" if instance.get("State") == "running" else "stopped",
"last_seen": datetime.now(timezone.utc).isoformat(),
}
def sync_assets(self, assets):
"""Push normalized assets to CMDB."""
results = {"created": 0, "updated": 0, "errors": 0}
for asset in assets:
try:
resp = requests.get(
f"{self.cmdb_url}/assets/{asset['asset_id']}",
headers=self.headers,
)
if resp.status_code == 200:
requests.put(
f"{self.cmdb_url}/assets/{asset['asset_id']}",
headers=self.headers,
json=asset,
)
results["updated"] += 1
else:
requests.post(
f"{self.cmdb_url}/assets",
headers=self.headers,
json=asset,
)
results["created"] += 1
except Exception:
results["errors"] += 1
return results
asset_inventory_checklist:
discovery:
- [ ] Automated discovery scripts running for all cloud accounts
- [ ] Discovery covers all resource types (compute, storage, network, IAM)
- [ ] Multi-region discovery enabled
- [ ] On-premise assets cataloged
- [ ] SaaS subscriptions inventoried
- [ ] Discovery runs daily (minimum weekly)
classification:
- [ ] Required tags defined (Owner, Environment, DataClassification, CostCenter)
- [ ] Tag enforcement via AWS Organizations tag policies
- [ ] Tag enforcement via Terraform default_tags
- [ ] Tag enforcement via CI/CD policy checks (Checkov, OPA)
- [ ] Untagged resource reports generated and tracked
configuration_management:
- [ ] AWS Config enabled in all regions
- [ ] Config rules enforce encryption, tagging, and security baselines
- [ ] Configuration compliance summary reviewed weekly
- [ ] Drift detection enabled for IaC-managed resources
cmdb:
- [ ] CMDB sync automated from cloud discovery
- [ ] Common schema defined across all providers
- [ ] Reconciliation process identifies orphaned records
- [ ] New resources auto-assigned default owner
- [ ] Asset lifecycle tracked (created, active, decommissioning, retired)
governance:
- [ ] Asset owners assigned and current
- [ ] Quarterly inventory reconciliation conducted
- [ ] Compliance scope tagging accurate (SOC2, HIPAA, PCI)
- [ ] Asset inventory available for auditor review
- [ ] Decommissioned assets tracked for data retention compliance
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
日本語の概要は準備中です。原文の説明を表示しています。
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
日本語の概要は準備中です。原文の説明を表示しています。
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
日本語の概要は準備中です。原文の説明を表示しています。
Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
日本語の概要は準備中です。原文の説明を表示しています。