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Toby
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# Audit Logging
Implement comprehensive audit logging for compliance.
Implement comprehensive audit logging for compliance, security monitoring, and forensic analysis across infrastructure and applications.
## When to Use
- Setting up centralized logging for compliance frameworks (SOC 2, HIPAA, PCI DSS)
- Implementing security event monitoring and alerting
- Building audit trails for regulatory requirements
- Configuring log retention and tamper-proof storage
- Integrating application logs with SIEM platforms
## Log Categories
```yaml
audit_events:
authentication:
- Login attempts
- MFA events
- Session management
- Login attempts (success and failure)
- MFA enrollment and verification events
- Session creation, renewal, and termination
- Password changes and resets
- API key and token generation
authorization:
- Access grants
- Permission changes
- Role assignments
- Access grants and denials
- Permission changes and role assignments
- Privilege escalation events
- Resource sharing modifications
- Policy evaluation results
data_access:
- Read operations
- Write operations
- Delete operations
- Read operations on sensitive data
- Write and update operations
- Delete and purge operations
- Bulk export and download events
- Data classification changes
administrative:
- Configuration changes
- User management
- System changes
- User and group management
- System startup and shutdown
- Backup and restore operations
- Network and firewall rule changes
system:
- Service health state changes
- Resource provisioning and deprovisioning
- Certificate and key rotation events
- Scheduled job execution results
- Integration and webhook events
```
## Application Logging
## Rsyslog Configuration for Centralized Logging
```bash
# /etc/rsyslog.d/50-audit.conf
# Load imfile module to read application logs
module(load="imfile")
# Forward auth logs
input(type="imfile"
File="/var/log/auth.log"
Tag="auth"
Severity="info"
Facility="auth"
)
# Forward application audit logs
input(type="imfile"
File="/var/log/app/audit.log"
Tag="app-audit"
Severity="info"
Facility="local0"
)
# Structured JSON template
template(name="json-audit" type="list") {
constant(value="{")
constant(value="\"@timestamp\":\"") property(name="timereported" dateFormat="rfc3339")
constant(value="\",\"host\":\"") property(name="hostname")
constant(value="\",\"severity\":\"") property(name="syslogseverity-text")
constant(value="\",\"facility\":\"") property(name="syslogfacility-text")
constant(value="\",\"tag\":\"") property(name="syslogtag" format="json")
constant(value="\",\"message\":\"") property(name="msg" format="json")
constant(value="\"}\n")
}
# Forward to central syslog server over TLS
action(
type="omfwd"
target="syslog.internal.example.com"
port="6514"
protocol="tcp"
StreamDriver="gtls"
StreamDriverMode="1"
StreamDriverAuthMode="x509/name"
template="json-audit"
queue.type="LinkedList"
queue.size="50000"
queue.filename="fwd_audit"
queue.saveonshutdown="on"
action.resumeRetryCount="-1"
)
```
## Journald Configuration for Persistent Logging
```ini
# /etc/systemd/journald.conf
[Journal]
Storage=persistent
Compress=yes
Seal=yes
SplitMode=uid
MaxRetentionSec=365d
MaxFileSec=30d
SystemMaxUse=10G
SystemKeepFree=2G
ForwardToSyslog=yes
```
```bash
# Query journald for audit events
journalctl _TRANSPORT=audit --since "24 hours ago" --output json-pretty
# Filter by specific audit types
journalctl _AUDIT_TYPE=1112 --since today # user login events
journalctl _AUDIT_TYPE=1100 --since today # user auth events
# Export for offline analysis
journalctl --since "7 days ago" --output export > /backup/journal-export.bin
```
## Application Logging with Structured JSON
```python
import logging
import json
import hashlib
from datetime import datetime, timezone
from functools import wraps
class AuditLogger:
def log_event(self, event_type, user, resource, action, result):
def __init__(self, service_name, logger_name="audit"):
self.service = service_name
self.logger = logging.getLogger(logger_name)
handler = logging.FileHandler("/var/log/app/audit.log")
handler.setFormatter(logging.Formatter("%(message)s"))
self.logger.addHandler(handler)
self.logger.setLevel(logging.INFO)
self._prev_hash = None
def log_event(self, event_type, user, resource, action, result,
metadata=None, source_ip=None):
log_entry = {
'timestamp': datetime.utcnow().isoformat(),
'event_type': event_type,
'user': user,
'resource': resource,
'action': action,
'result': result,
'source_ip': request.remote_addr
"timestamp": datetime.now(timezone.utc).isoformat(),
"service": self.service,
"event_type": event_type,
"user": user,
"resource": resource,
"action": action,
"result": result,
"source_ip": source_ip,
"metadata": metadata or {},
}
logger.info(json.dumps(log_entry))
# Chain hash for tamper detection
raw = json.dumps(log_entry, sort_keys=True)
log_entry["prev_hash"] = self._prev_hash
log_entry["hash"] = hashlib.sha256(
f"{self._prev_hash}:{raw}".encode()
).hexdigest()
self._prev_hash = log_entry["hash"]
self.logger.info(json.dumps(log_entry))
def log_auth(self, user, action, success, source_ip=None, mfa=False):
self.log_event(
event_type="authentication",
user=user,
resource="auth-service",
action=action,
result="success" if success else "failure",
metadata={"mfa_used": mfa},
source_ip=source_ip,
)
def log_data_access(self, user, resource, operation, record_count=0,
source_ip=None):
self.log_event(
event_type="data_access",
user=user,
resource=resource,
action=operation,
result="success",
metadata={"record_count": record_count},
source_ip=source_ip,
)
def audit_trail(audit_logger, resource_name):
"""Decorator to automatically audit function calls."""
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
user = kwargs.get("current_user", "system")
try:
result = func(*args, **kwargs)
audit_logger.log_event(
event_type="operation",
user=user,
resource=resource_name,
action=func.__name__,
result="success",
)
return result
except Exception as e:
audit_logger.log_event(
event_type="operation",
user=user,
resource=resource_name,
action=func.__name__,
result="failure",
metadata={"error": str(e)},
)
raise
return wrapper
return decorator
```
## Centralized Logging
## Fluentd / Fluent Bit Log Aggregation
```yaml
# Fluentd configuration
<source>
@type tail
path /var/log/audit/*.log
tag audit.*
</source>
# fluent-bit.conf - lightweight agent on each node
[SERVICE]
Flush 5
Daemon Off
Log_Level info
Parsers_File parsers.conf
<match audit.**>
@type elasticsearch
host elasticsearch.example.com
index_name audit-logs
</match>
[INPUT]
Name tail
Path /var/log/app/audit.log
Parser json
Tag audit.app
Refresh_Interval 5
Rotate_Wait 30
[INPUT]
Name systemd
Tag audit.system
Systemd_Filter _TRANSPORT=audit
[FILTER]
Name modify
Match audit.*
Add cluster ${CLUSTER_NAME}
Add node ${NODE_NAME}
[OUTPUT]
Name es
Match audit.*
Host elasticsearch.internal.example.com
Port 9200
Index audit-logs
Type _doc
tls On
tls.verify On
Retry_Limit 5
[OUTPUT]
Name s3
Match audit.*
region us-east-1
bucket audit-logs-archive
total_file_size 50M
upload_timeout 10m
s3_key_format /logs/%Y/%m/%d/$TAG/%H_%M_%S.gz
compression gzip
```
## Elasticsearch Index Lifecycle for Retention
```json
{
"policy": {
"phases": {
"hot": {
"min_age": "0ms",
"actions": {
"rollover": {
"max_size": "50gb",
"max_age": "1d"
},
"set_priority": { "priority": 100 }
}
},
"warm": {
"min_age": "7d",
"actions": {
"shrink": { "number_of_shards": 1 },
"forcemerge": { "max_num_segments": 1 },
"set_priority": { "priority": 50 }
}
},
"cold": {
"min_age": "30d",
"actions": {
"freeze": {},
"set_priority": { "priority": 0 }
}
},
"delete": {
"min_age": "365d",
"actions": { "delete": {} }
}
}
}
}
```
## Retention Policy by Compliance Framework
```yaml
retention_requirements:
soc2:
minimum: 1 year
recommended: 3 years
notes: "Based on audit period and report requirements"
hipaa:
minimum: 6 years
notes: "From date of creation or last effective date"
pci_dss:
minimum: 1 year
immediately_available: 3 months
notes: "Req 10.7 - retain for at least one year, 3 months immediately available"
gdpr:
minimum: "As long as necessary for processing purpose"
notes: "Apply data minimization; delete when no longer needed"
fedramp:
minimum: 3 years
notes: "AU-11 control requirement"
iso27001:
minimum: "Defined by organization policy"
recommended: 3 years
notes: "A.12.4.1 - retention period must be defined"
```
## Log Integrity Verification Script
```bash
#!/usr/bin/env bash
# verify-log-integrity.sh - Verify log file checksums against stored hashes
LOG_DIR="/var/log/app"
HASH_FILE="/var/log/app/.checksums"
ALERT_WEBHOOK="${ALERT_WEBHOOK_URL}"
verify_logs() {
local failures=0
while IFS=' ' read -r stored_hash filename; do
if [ -f "$filename" ]; then
current_hash=$(sha256sum "$filename" | awk '{print $1}')
if [ "$stored_hash" != "$current_hash" ]; then
echo "TAMPER DETECTED: $filename"
failures=$((failures + 1))
curl -s -X POST "$ALERT_WEBHOOK" \
-H "Content-Type: application/json" \
-d "{\"text\":\"ALERT: Audit log tamper detected on $(hostname): $filename\"}"
fi
else
echo "MISSING: $filename"
failures=$((failures + 1))
fi
done < "$HASH_FILE"
return $failures
}
update_checksums() {
find "$LOG_DIR" -name "*.log" -type f -exec sha256sum {} \; > "$HASH_FILE"
chmod 440 "$HASH_FILE"
}
case "${1:-verify}" in
verify) verify_logs ;;
update) update_checksums ;;
*) echo "Usage: $0 {verify|update}" ;;
esac
```
## SIEM Integration Checklist
```yaml
siem_integration:
log_sources:
- [ ] Operating system auth logs (syslog, journald)
- [ ] Application audit logs (structured JSON)
- [ ] Cloud provider audit trails (CloudTrail, Activity Log, Audit Logs)
- [ ] Database query and access logs
- [ ] Network flow logs and firewall logs
- [ ] Container and orchestrator logs (Kubernetes audit)
- [ ] WAF and CDN access logs
- [ ] VPN and remote access logs
normalization:
- [ ] Common event format (CEF) or OCSF schema
- [ ] Consistent timestamp format (ISO 8601 / UTC)
- [ ] Unified user identity fields
- [ ] Standardized severity levels
alerting_rules:
- [ ] Multiple failed login attempts (brute force)
- [ ] Login from unusual location or device
- [ ] Privilege escalation events
- [ ] Sensitive data bulk export
- [ ] Administrative action outside change window
- [ ] Service account anomalous activity
- [ ] Log forwarding gap or interruption
operational:
- [ ] Log pipeline health monitoring
- [ ] Storage capacity alerting
- [ ] Retention policy enforcement verified
- [ ] Backup of log archives confirmed
- [ ] Access to log systems restricted and audited
```
## Best Practices
- Structured logging (JSON)
- Centralized collection
- Tamper-proof storage
- Retention policies
- Alerting on anomalies
- Use structured logging (JSON) with consistent field names across all services
- Ship logs to a centralized platform with write-once storage for tamper protection
- Implement hash chaining or digital signatures for log integrity verification
- Define and enforce retention policies per compliance framework requirements
- Set up real-time alerting for high-severity security events
- Separate audit logs from application debug logs to reduce noise
- Never log sensitive data (passwords, tokens, PII) in audit entries
- Monitor the logging pipeline itself to detect gaps in coverage
- Regularly test log restoration from archives to verify recoverability
- Rotate and compress logs to manage storage while meeting retention windows
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# AWS CloudTrail
Audit AWS account activity with CloudTrail.
Audit AWS account activity with CloudTrail for compliance, security investigation, and operational troubleshooting.
## Create Trail
## When to Use
- Enabling organization-wide audit logging across all AWS accounts
- Investigating security incidents or unauthorized API activity
- Meeting compliance requirements for SOC 2, HIPAA, PCI DSS, or FedRAMP
- Setting up automated alerting on sensitive AWS API calls
- Querying historical AWS activity for forensic analysis
## Create an Organization Trail
```bash
# Create organization trail
# Create the S3 bucket for log storage
aws s3api create-bucket \
--bucket org-cloudtrail-audit-logs \
--region us-east-1
# Apply bucket policy allowing CloudTrail to write
aws s3api put-bucket-policy \
--bucket org-cloudtrail-audit-logs \
--policy '{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AWSCloudTrailAclCheck",
"Effect": "Allow",
"Principal": {"Service": "cloudtrail.amazonaws.com"},
"Action": "s3:GetBucketAcl",
"Resource": "arn:aws:s3:::org-cloudtrail-audit-logs"
},
{
"Sid": "AWSCloudTrailWrite",
"Effect": "Allow",
"Principal": {"Service": "cloudtrail.amazonaws.com"},
"Action": "s3:PutObject",
"Resource": "arn:aws:s3:::org-cloudtrail-audit-logs/AWSLogs/*",
"Condition": {
"StringEquals": {"s3:x-amz-acl": "bucket-owner-full-control"}
}
}
]
}'
# Block public access on the audit bucket
aws s3api put-public-access-block \
--bucket org-cloudtrail-audit-logs \
--public-access-block-configuration \
BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true
# Enable versioning for tamper protection
aws s3api put-bucket-versioning \
--bucket org-cloudtrail-audit-logs \
--versioning-configuration Status=Enabled
# Enable server-side encryption
aws s3api put-bucket-encryption \
--bucket org-cloudtrail-audit-logs \
--server-side-encryption-configuration '{
"Rules": [{"ApplyServerSideEncryptionByDefault": {"SSEAlgorithm": "aws:kms", "KMSMasterKeyID": "alias/cloudtrail-key"}}]
}'
# Set lifecycle policy for log retention
aws s3api put-bucket-lifecycle-configuration \
--bucket org-cloudtrail-audit-logs \
--lifecycle-configuration '{
"Rules": [
{
"ID": "TransitionToGlacier",
"Status": "Enabled",
"Filter": {"Prefix": "AWSLogs/"},
"Transitions": [
{"Days": 90, "StorageClass": "GLACIER"}
]
},
{
"ID": "ExpireOldLogs",
"Status": "Enabled",
"Filter": {"Prefix": "AWSLogs/"},
"Expiration": {"Days": 2555}
}
]
}'
# Create the organization trail
aws cloudtrail create-trail \
--name org-audit-trail \
--s3-bucket-name audit-logs-bucket \
--s3-bucket-name org-cloudtrail-audit-logs \
--is-organization-trail \
--is-multi-region-trail \
--enable-log-file-validation \
--kms-key-id arn:aws:kms:...
--kms-key-id arn:aws:kms:us-east-1:123456789012:alias/cloudtrail-key \
--cloud-watch-logs-log-group-arn arn:aws:logs:us-east-1:123456789012:log-group:CloudTrail:* \
--cloud-watch-logs-role-arn arn:aws:iam::123456789012:role/CloudTrail-CWLogs-Role
# Start logging
aws cloudtrail start-logging --name org-audit-trail
```
## Event Selectors
## Event Selectors for Management and Data Events
```bash
# Log all management and data events
# Configure advanced event selectors for granular control
aws cloudtrail put-event-selectors \
--trail-name org-audit-trail \
--event-selectors '[{
"ReadWriteType": "All",
"IncludeManagementEvents": true,
"DataResources": [{
"Type": "AWS::S3::Object",
"Values": ["arn:aws:s3:::sensitive-bucket/"]
}]
}]'
--advanced-event-selectors '[
{
"Name": "AllManagementEvents",
"FieldSelectors": [
{"Field": "eventCategory", "Equals": ["Management"]}
]
},
{
"Name": "S3DataEventsForSensitiveBuckets",
"FieldSelectors": [
{"Field": "eventCategory", "Equals": ["Data"]},
{"Field": "resources.type", "Equals": ["AWS::S3::Object"]},
{"Field": "resources.ARN", "StartsWith": [
"arn:aws:s3:::sensitive-data-bucket/",
"arn:aws:s3:::pii-bucket/",
"arn:aws:s3:::financial-data/"
]}
]
},
{
"Name": "LambdaInvocations",
"FieldSelectors": [
{"Field": "eventCategory", "Equals": ["Data"]},
{"Field": "resources.type", "Equals": ["AWS::Lambda::Function"]}
]
},
{
"Name": "DynamoDBDataEvents",
"FieldSelectors": [
{"Field": "eventCategory", "Equals": ["Data"]},
{"Field": "resources.type", "Equals": ["AWS::DynamoDB::Table"]}
]
}
]'
```
## CloudTrail Lake
## CloudWatch Alerts for Sensitive Activity
```bash
# Create metric filter for unauthorized API calls
aws logs put-metric-filter \
--log-group-name CloudTrail \
--filter-name UnauthorizedAPICalls \
--filter-pattern '{ ($.errorCode = "*UnauthorizedAccess*") || ($.errorCode = "AccessDenied*") }' \
--metric-transformations \
metricName=UnauthorizedAPICalls,metricNamespace=CloudTrailMetrics,metricValue=1
# Create alarm for unauthorized calls
aws cloudwatch put-metric-alarm \
--alarm-name UnauthorizedAPICallsAlarm \
--metric-name UnauthorizedAPICalls \
--namespace CloudTrailMetrics \
--statistic Sum \
--period 300 \
--threshold 5 \
--comparison-operator GreaterThanOrEqualToThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:security-alerts
# Root account usage alarm
aws logs put-metric-filter \
--log-group-name CloudTrail \
--filter-name RootAccountUsage \
--filter-pattern '{ ($.userIdentity.type = "Root") && ($.userIdentity.invokedBy NOT EXISTS) && ($.eventType != "AwsServiceEvent") }' \
--metric-transformations \
metricName=RootAccountUsage,metricNamespace=CloudTrailMetrics,metricValue=1
aws cloudwatch put-metric-alarm \
--alarm-name RootAccountUsageAlarm \
--metric-name RootAccountUsage \
--namespace CloudTrailMetrics \
--statistic Sum \
--period 300 \
--threshold 1 \
--comparison-operator GreaterThanOrEqualToThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:security-alerts
# Console login without MFA
aws logs put-metric-filter \
--log-group-name CloudTrail \
--filter-name ConsoleLoginWithoutMFA \
--filter-pattern '{ ($.eventName = "ConsoleLogin") && ($.additionalEventData.MFAUsed != "Yes") && ($.userIdentity.type = "IAMUser") }' \
--metric-transformations \
metricName=ConsoleLoginWithoutMFA,metricNamespace=CloudTrailMetrics,metricValue=1
# IAM policy changes
aws logs put-metric-filter \
--log-group-name CloudTrail \
--filter-name IAMPolicyChanges \
--filter-pattern '{ ($.eventName=CreatePolicy) || ($.eventName=DeletePolicy) || ($.eventName=AttachRolePolicy) || ($.eventName=DetachRolePolicy) || ($.eventName=AttachUserPolicy) || ($.eventName=PutUserPolicy) }' \
--metric-transformations \
metricName=IAMPolicyChanges,metricNamespace=CloudTrailMetrics,metricValue=1
# Security group changes
aws logs put-metric-filter \
--log-group-name CloudTrail \
--filter-name SecurityGroupChanges \
--filter-pattern '{ ($.eventName=AuthorizeSecurityGroupIngress) || ($.eventName=RevokeSecurityGroupIngress) || ($.eventName=CreateSecurityGroup) || ($.eventName=DeleteSecurityGroup) }' \
--metric-transformations \
metricName=SecurityGroupChanges,metricNamespace=CloudTrailMetrics,metricValue=1
```
## Athena Queries for CloudTrail Analysis
```sql
-- Query events
SELECT eventTime, userIdentity.userName, eventName, sourceIPAddress
-- Create Athena table for CloudTrail logs
CREATE EXTERNAL TABLE IF NOT EXISTS cloudtrail_logs (
eventVersion STRING,
userIdentity STRUCT<
type: STRING,
principalId: STRING,
arn: STRING,
accountId: STRING,
invokedBy: STRING,
accessKeyId: STRING,
userName: STRING,
sessionContext: STRUCT<
attributes: STRUCT<mfaAuthenticated: STRING, creationDate: STRING>,
sessionIssuer: STRUCT<type: STRING, principalId: STRING, arn: STRING, accountId: STRING, userName: STRING>
>
>,
eventTime STRING,
eventSource STRING,
eventName STRING,
awsRegion STRING,
sourceIPAddress STRING,
userAgent STRING,
errorCode STRING,
errorMessage STRING,
requestParameters STRING,
responseElements STRING,
additionalEventData STRING,
requestId STRING,
eventId STRING,
readOnly STRING,
resources ARRAY<STRUCT<arn: STRING, accountId: STRING, type: STRING>>,
eventType STRING,
recipientAccountId STRING
)
PARTITIONED BY (region STRING, year STRING, month STRING, day STRING)
ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'
LOCATION 's3://org-cloudtrail-audit-logs/AWSLogs/123456789012/CloudTrail/';
-- Find all delete operations in the last 7 days
SELECT eventTime, userIdentity.arn, eventName, sourceIPAddress,
requestParameters
FROM cloudtrail_logs
WHERE eventTime > '2024-01-01'
AND eventName LIKE '%Delete%'
WHERE eventName LIKE '%Delete%'
AND eventTime > date_format(date_add('day', -7, current_date), '%Y-%m-%dT%H:%i:%sZ')
ORDER BY eventTime DESC
LIMIT 100
LIMIT 100;
-- Identify console logins from unusual IP addresses
SELECT eventTime, userIdentity.userName, sourceIPAddress,
additionalEventData
FROM cloudtrail_logs
WHERE eventName = 'ConsoleLogin'
AND sourceIPAddress NOT IN ('198.51.100.0/24', '203.0.113.0/24')
AND eventTime > date_format(date_add('day', -30, current_date), '%Y-%m-%dT%H:%i:%sZ')
ORDER BY eventTime DESC;
-- Access key usage patterns per principal
SELECT userIdentity.arn,
count(*) AS api_call_count,
count(DISTINCT eventName) AS unique_actions,
count(DISTINCT sourceIPAddress) AS unique_ips,
min(eventTime) AS first_seen,
max(eventTime) AS last_seen
FROM cloudtrail_logs
WHERE eventTime > date_format(date_add('day', -30, current_date), '%Y-%m-%dT%H:%i:%sZ')
GROUP BY userIdentity.arn
ORDER BY api_call_count DESC
LIMIT 50;
-- Failed API calls indicating permission issues or reconnaissance
SELECT eventTime, userIdentity.arn, eventName, errorCode, errorMessage,
sourceIPAddress
FROM cloudtrail_logs
WHERE errorCode IN ('AccessDenied', 'UnauthorizedAccess', 'Client.UnauthorizedAccess')
AND eventTime > date_format(date_add('day', -7, current_date), '%Y-%m-%dT%H:%i:%sZ')
ORDER BY eventTime DESC
LIMIT 200;
-- Track KMS key usage
SELECT eventTime, userIdentity.arn, eventName, requestParameters,
resources[1].arn AS key_arn
FROM cloudtrail_logs
WHERE eventSource = 'kms.amazonaws.com'
AND eventName IN ('Decrypt', 'Encrypt', 'GenerateDataKey', 'DisableKey', 'ScheduleKeyDeletion')
AND eventTime > date_format(date_add('day', -7, current_date), '%Y-%m-%dT%H:%i:%sZ')
ORDER BY eventTime DESC;
```
## CloudTrail Lake (Event Data Store)
```bash
# Create an event data store for long-term queryable storage
aws cloudtrail create-event-data-store \
--name org-audit-event-store \
--multi-region-enabled \
--organization-enabled \
--retention-period 2555 \
--advanced-event-selectors '[
{
"Name": "AllManagementEvents",
"FieldSelectors": [
{"Field": "eventCategory", "Equals": ["Management"]}
]
}
]'
```
```sql
-- CloudTrail Lake SQL queries (run in console or via StartQuery API)
-- Investigate a specific user's activity
SELECT eventTime, eventName, eventSource, sourceIPAddress,
errorCode, requestParameters
FROM EVENT_DATA_STORE_ID
WHERE userIdentity.arn = 'arn:aws:iam::123456789012:user/suspicious-user'
AND eventTime > '2024-01-01 00:00:00'
ORDER BY eventTime DESC;
-- Cross-account activity summary
SELECT recipientAccountId, userIdentity.arn,
count(*) AS event_count
FROM EVENT_DATA_STORE_ID
WHERE eventTime > '2024-01-01 00:00:00'
GROUP BY recipientAccountId, userIdentity.arn
ORDER BY event_count DESC;
```
## Validate Trail Integrity
```bash
# Validate log file integrity for a date range
aws cloudtrail validate-logs \
--trail-arn arn:aws:cloudtrail:us-east-1:123456789012:trail/org-audit-trail \
--start-time "2024-01-01T00:00:00Z" \
--end-time "2024-01-31T23:59:59Z"
# Check trail status
aws cloudtrail get-trail-status --name org-audit-trail
# Describe the trail configuration
aws cloudtrail describe-trails --trail-name-list org-audit-trail
```
## Terraform Configuration
```hcl
resource "aws_cloudtrail" "org_trail" {
name = "org-audit-trail"
s3_bucket_name = aws_s3_bucket.cloudtrail.id
is_organization_trail = true
is_multi_region_trail = true
enable_log_file_validation = true
kms_key_id = aws_kms_key.cloudtrail.arn
cloud_watch_logs_group_arn = "${aws_cloudwatch_log_group.cloudtrail.arn}:*"
cloud_watch_logs_role_arn = aws_iam_role.cloudtrail_cw.arn
include_global_service_events = true
advanced_event_selector {
name = "AllManagementEvents"
field_selector {
field = "eventCategory"
equals = ["Management"]
}
}
advanced_event_selector {
name = "SensitiveS3DataEvents"
field_selector {
field = "eventCategory"
equals = ["Data"]
}
field_selector {
field = "resources.type"
equals = ["AWS::S3::Object"]
}
field_selector {
field = "resources.ARN"
starts_with = ["arn:aws:s3:::sensitive-data-bucket/"]
}
}
tags = {
Environment = "production"
Compliance = "soc2,hipaa"
}
}
```
## Setup Checklist
```yaml
cloudtrail_checklist:
trail_configuration:
- [ ] Organization trail enabled across all accounts
- [ ] Multi-region trail enabled
- [ ] Log file validation enabled
- [ ] KMS encryption configured with dedicated key
- [ ] CloudWatch Logs integration active
- [ ] S3 bucket policy restricts access to CloudTrail service only
s3_bucket_hardening:
- [ ] Public access blocked
- [ ] Versioning enabled
- [ ] Server-side encryption enabled
- [ ] Lifecycle policy set for retention and archival
- [ ] Access logging enabled on the bucket itself
- [ ] Object Lock enabled for WORM compliance (if required)
monitoring_and_alerting:
- [ ] Metric filters for unauthorized API calls
- [ ] Alarm on root account usage
- [ ] Alarm on console login without MFA
- [ ] Alarm on IAM policy changes
- [ ] Alarm on security group and NACL changes
- [ ] Alarm on CloudTrail configuration changes
- [ ] Alarm on S3 bucket policy changes
analysis:
- [ ] Athena table created for ad-hoc queries
- [ ] CloudTrail Lake event data store for long-term queries
- [ ] Regular review of high-risk API patterns
- [ ] Automated reports for compliance evidence
operational:
- [ ] Trail status health check automated
- [ ] Log delivery latency monitored
- [ ] Log file validation run periodically
- [ ] SNS notification for trail configuration changes
```
## Best Practices
- Organization-wide trails
- Enable log file validation
- Encrypt with KMS
- CloudWatch Logs integration
- Event alerting
- Enable organization-wide trails from the management account for full coverage
- Always enable log file validation to detect tampering
- Encrypt logs with a customer-managed KMS key and restrict key usage
- Use advanced event selectors to capture data events on sensitive resources without logging everything
- Integrate with CloudWatch Logs for real-time metric filters and alarms
- Set up Athena or CloudTrail Lake for efficient querying during investigations
- Apply S3 lifecycle policies to transition old logs to Glacier and enforce retention
- Monitor the trail itself (delivery errors, configuration changes) as a meta-control
- Validate log integrity periodically as part of compliance evidence collection
- Restrict access to the CloudTrail S3 bucket and KMS key with least-privilege IAM policies
+322 -23
View File
@@ -9,49 +9,348 @@ metadata:
# Azure Monitor Audit
Audit Azure activity with Monitor and Activity Logs.
Audit Azure activity with Monitor, Activity Logs, and Log Analytics for compliance, security, and operational visibility.
## Diagnostic Settings
## When to Use
- Enabling centralized audit logging across Azure subscriptions
- Meeting compliance requirements for SOC 2, HIPAA, PCI DSS, or ISO 27001
- Investigating security incidents or unauthorized activity in Azure
- Setting up alerting on administrative and security events
- Building compliance dashboards and automated evidence collection
## Create Log Analytics Workspace
```bash
# Enable diagnostic settings
az monitor diagnostic-settings create \
--name audit-logs \
--resource /subscriptions/{sub}/resourceGroups/{rg}/providers/... \
--logs '[{"category":"AuditEvent","enabled":true}]' \
--workspace /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.OperationalInsights/workspaces/{workspace}
# Create resource group for audit resources
az group create \
--name rg-audit \
--location eastus
# Create Log Analytics workspace
az monitor log-analytics workspace create \
--resource-group rg-audit \
--workspace-name audit-workspace \
--location eastus \
--retention-time 365 \
--sku PerGB2018
# Get workspace ID for later use
WORKSPACE_ID=$(az monitor log-analytics workspace show \
--resource-group rg-audit \
--workspace-name audit-workspace \
--query id -o tsv)
# Enable audit solutions
az monitor log-analytics solution create \
--resource-group rg-audit \
--solution-type SecurityCenterFree \
--workspace audit-workspace
```
## Activity Log Export
## Configure Diagnostic Settings for Subscription Activity Log
```bash
# Export activity log to Log Analytics
# Export subscription activity log to Log Analytics
az monitor diagnostic-settings subscription create \
--name activity-log-export \
--name activity-log-to-workspace \
--location global \
--logs '[{"category":"Administrative","enabled":true},{"category":"Security","enabled":true}]' \
--workspace /subscriptions/.../workspaces/audit-workspace
--workspace "$WORKSPACE_ID" \
--logs '[
{"category": "Administrative", "enabled": true},
{"category": "Security", "enabled": true},
{"category": "ServiceHealth", "enabled": true},
{"category": "Alert", "enabled": true},
{"category": "Recommendation", "enabled": true},
{"category": "Policy", "enabled": true},
{"category": "Autoscale", "enabled": true},
{"category": "ResourceHealth", "enabled": true}
]'
# Also archive to storage account for long-term retention
az storage account create \
--name auditlogsarchive \
--resource-group rg-audit \
--location eastus \
--sku Standard_GRS \
--kind StorageV2 \
--min-tls-version TLS1_2 \
--allow-blob-public-access false
az monitor diagnostic-settings subscription create \
--name activity-log-to-storage \
--location global \
--storage-account /subscriptions/{sub}/resourceGroups/rg-audit/providers/Microsoft.Storage/storageAccounts/auditlogsarchive \
--logs '[
{"category": "Administrative", "enabled": true, "retentionPolicy": {"enabled": true, "days": 2555}},
{"category": "Security", "enabled": true, "retentionPolicy": {"enabled": true, "days": 2555}}
]'
```
## Log Analytics Queries
## Resource-Level Diagnostic Settings
```bash
# Enable diagnostics for Azure Key Vault
az monitor diagnostic-settings create \
--name keyvault-audit \
--resource /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.KeyVault/vaults/{vault} \
--workspace "$WORKSPACE_ID" \
--logs '[
{"category": "AuditEvent", "enabled": true, "retentionPolicy": {"enabled": true, "days": 365}},
{"category": "AzurePolicyEvaluationDetails", "enabled": true}
]' \
--metrics '[
{"category": "AllMetrics", "enabled": true}
]'
# Enable diagnostics for Azure SQL Database
az monitor diagnostic-settings create \
--name sql-audit \
--resource /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Sql/servers/{server}/databases/{db} \
--workspace "$WORKSPACE_ID" \
--logs '[
{"category": "SQLSecurityAuditEvents", "enabled": true},
{"category": "SQLInsights", "enabled": true},
{"category": "AutomaticTuning", "enabled": true}
]'
# Enable diagnostics for Azure App Service
az monitor diagnostic-settings create \
--name appservice-audit \
--resource /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Web/sites/{app} \
--workspace "$WORKSPACE_ID" \
--logs '[
{"category": "AppServiceHTTPLogs", "enabled": true},
{"category": "AppServiceAuditLogs", "enabled": true},
{"category": "AppServiceIPSecAuditLogs", "enabled": true},
{"category": "AppServicePlatformLogs", "enabled": true}
]'
# Enable diagnostics for Network Security Groups
az monitor diagnostic-settings create \
--name nsg-flow-logs \
--resource /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.Network/networkSecurityGroups/{nsg} \
--workspace "$WORKSPACE_ID" \
--logs '[
{"category": "NetworkSecurityGroupEvent", "enabled": true},
{"category": "NetworkSecurityGroupRuleCounter", "enabled": true}
]'
```
## Azure Policy for Diagnostic Settings Enforcement
```bash
# Assign built-in policy to require diagnostic settings on Key Vaults
az policy assignment create \
--name require-kv-diagnostics \
--policy "951af2fa-529b-416e-ab6e-066fd85ac459" \
--scope /subscriptions/{sub} \
--params '{
"logAnalytics": {"value": "'$WORKSPACE_ID'"},
"effect": {"value": "DeployIfNotExists"}
}'
# Assign policy to require diagnostic settings on SQL databases
az policy assignment create \
--name require-sql-diagnostics \
--policy "b79fa14e-238a-4c2d-b376-442ce508fc84" \
--scope /subscriptions/{sub} \
--params '{
"logAnalyticsWorkspaceId": {"value": "'$WORKSPACE_ID'"}
}'
```
## KQL Queries for Security Investigation
```kusto
// Failed login attempts
AuditLogs
// Failed sign-in attempts with location and device details
SigninLogs
| where TimeGenerated > ago(24h)
| where ResultType != "0"
| project TimeGenerated, Identity, ResultDescription, IPAddress
| summarize FailureCount = count(),
DistinctIPs = dcount(IPAddress),
Locations = make_set(LocationDetails.city)
by UserPrincipalName, ResultDescription, AppDisplayName
| where FailureCount > 5
| order by FailureCount desc
// Administrative changes
// Successful sign-ins from unusual locations
SigninLogs
| where TimeGenerated > ago(7d)
| where ResultType == "0"
| extend City = tostring(LocationDetails.city),
Country = tostring(LocationDetails.countryOrRegion)
| summarize LoginCount = count(),
Cities = make_set(City),
Countries = make_set(Country)
by UserPrincipalName
| where array_length(Countries) > 2
// Risky sign-ins requiring investigation
SigninLogs
| where TimeGenerated > ago(7d)
| where RiskLevelDuringSignIn in ("medium", "high")
| project TimeGenerated, UserPrincipalName, IPAddress,
LocationDetails.city, RiskLevelDuringSignIn,
RiskEventTypes_V2, AppDisplayName
| order by TimeGenerated desc
// Administrative operations across subscriptions
AzureActivity
| where TimeGenerated > ago(24h)
| where CategoryValue == "Administrative"
| where OperationNameValue contains "write" or OperationNameValue contains "delete"
| project TimeGenerated, Caller, OperationNameValue, ResourceGroup
| where ActivityStatusValue == "Success"
| project TimeGenerated, Caller, OperationNameValue,
ResourceGroup, Resource, SubscriptionId
| order by TimeGenerated desc
// Key Vault access patterns
AzureDiagnostics
| where ResourceType == "VAULTS"
| where TimeGenerated > ago(24h)
| where OperationName in ("SecretGet", "SecretSet", "SecretDelete",
"KeySign", "KeyDecrypt", "CertificateGet")
| project TimeGenerated, CallerIPAddress, identity_claim_upn_s,
OperationName, id_s, ResultType
| order by TimeGenerated desc
// Detect changes to Network Security Groups
AzureActivity
| where TimeGenerated > ago(7d)
| where OperationNameValue has_any ("securityRules/write", "securityRules/delete",
"networkSecurityGroups/write")
| where ActivityStatusValue == "Success"
| project TimeGenerated, Caller, OperationNameValue,
ResourceGroup, Properties
| order by TimeGenerated desc
// Azure Policy compliance drift
PolicyInsights
| where TimeGenerated > ago(7d)
| where ComplianceState == "NonCompliant"
| summarize NonCompliantCount = count() by PolicyDefinitionName, ResourceType
| order by NonCompliantCount desc
// Privileged role assignments (PIM)
AuditLogs
| where TimeGenerated > ago(30d)
| where OperationName has_any ("Add member to role", "Add eligible member to role")
| extend RoleName = tostring(TargetResources[0].displayName),
AssignedUser = tostring(TargetResources[2].displayName),
AssignedBy = InitiatedBy.user.userPrincipalName
| project TimeGenerated, AssignedBy, AssignedUser, RoleName, OperationName
| order by TimeGenerated desc
```
## Alert Rules
```bash
# Create action group for security notifications
az monitor action-group create \
--resource-group rg-audit \
--name security-team \
--short-name SecTeam \
--email-receivers name=SecurityLead email=security@example.com \
--webhook-receivers name=PagerDuty uri=https://events.pagerduty.com/integration/{key}/enqueue
# Alert on multiple failed sign-ins (brute force detection)
az monitor scheduled-query create \
--resource-group rg-audit \
--name brute-force-detection \
--scopes "$WORKSPACE_ID" \
--condition "count > 10" \
--condition-query "SigninLogs | where ResultType != '0' | summarize count() by UserPrincipalName, bin(TimeGenerated, 5m) | where count_ > 10" \
--evaluation-frequency 5m \
--window-size 5m \
--severity 2 \
--action-groups /subscriptions/{sub}/resourceGroups/rg-audit/providers/Microsoft.Insights/actionGroups/security-team
# Alert on Key Vault secret access outside business hours
az monitor scheduled-query create \
--resource-group rg-audit \
--name keyvault-offhours-access \
--scopes "$WORKSPACE_ID" \
--condition "count > 0" \
--condition-query "AzureDiagnostics | where ResourceType == 'VAULTS' | where OperationName in ('SecretGet','SecretList') | where hourofday(TimeGenerated) < 6 or hourofday(TimeGenerated) > 22" \
--evaluation-frequency 15m \
--window-size 15m \
--severity 3 \
--action-groups /subscriptions/{sub}/resourceGroups/rg-audit/providers/Microsoft.Insights/actionGroups/security-team
# Alert on subscription-level administrative changes
az monitor activity-log alert create \
--resource-group rg-audit \
--name critical-admin-changes \
--condition category=Administrative and operationName="Microsoft.Authorization/roleAssignments/write" \
--action-group /subscriptions/{sub}/resourceGroups/rg-audit/providers/Microsoft.Insights/actionGroups/security-team \
--description "Alert on new role assignments"
```
## Workbook for Compliance Dashboard (ARM Template Snippet)
```json
{
"type": "Microsoft.Insights/workbooks",
"apiVersion": "2022-04-01",
"name": "[guid('compliance-dashboard')]",
"location": "[resourceGroup().location]",
"kind": "shared",
"properties": {
"displayName": "Compliance Audit Dashboard",
"serializedData": "{\"version\":\"Notebook/1.0\",\"items\":[{\"type\":1,\"content\":{\"json\":\"## Compliance Audit Dashboard\"},\"name\":\"title\"},{\"type\":3,\"content\":{\"version\":\"KqlItem/1.0\",\"query\":\"SigninLogs | where TimeGenerated > ago(24h) | where ResultType != '0' | summarize count() by bin(TimeGenerated, 1h)\",\"size\":0,\"title\":\"Failed Sign-ins (24h)\",\"timeContext\":{\"durationMs\":86400000},\"queryType\":0},\"name\":\"failed-signins\"}]}"
}
}
```
## Setup Checklist
```yaml
azure_monitor_checklist:
workspace_setup:
- [ ] Log Analytics workspace created in appropriate region
- [ ] Retention period configured (minimum per compliance framework)
- [ ] Daily cap configured to prevent cost overruns
- [ ] RBAC permissions set (Log Analytics Reader for auditors)
diagnostic_settings:
- [ ] Subscription activity log exported to Log Analytics
- [ ] Subscription activity log archived to storage account
- [ ] Key Vault audit events enabled
- [ ] Azure SQL audit logging enabled
- [ ] NSG flow logs enabled
- [ ] App Service audit logs enabled
- [ ] Azure AD sign-in and audit logs connected
policy_enforcement:
- [ ] Azure Policy assigned to enforce diagnostic settings
- [ ] DeployIfNotExists policies for critical resource types
- [ ] Compliance state monitored via Policy Insights
alerting:
- [ ] Action groups configured for security and operations teams
- [ ] Alert on brute force sign-in attempts
- [ ] Alert on privileged role assignments
- [ ] Alert on Key Vault sensitive operations
- [ ] Alert on NSG rule changes
- [ ] Alert on resource deletions in production
reporting:
- [ ] Compliance workbook deployed
- [ ] Weekly automated query reports exported
- [ ] Quarterly access review queries prepared
- [ ] Evidence collection queries documented for auditors
```
## Best Practices
- Centralize to Log Analytics
- Long-term archive to Storage
- Configure alerts
- Regular query reviews
- Centralize all audit data into a single Log Analytics workspace per tenant
- Archive logs to immutable storage for long-term retention and compliance
- Use Azure Policy with DeployIfNotExists to enforce diagnostic settings on new resources
- Create saved KQL queries for common investigation and compliance scenarios
- Set up scheduled query alerts for security-critical events
- Assign Log Analytics Reader role to auditors without granting broader access
- Monitor the diagnostic settings pipeline itself for delivery failures
- Use workbooks for visual compliance dashboards shared with stakeholders
- Export query results on a schedule for compliance evidence packages
- Separate operational and security alerting to avoid alert fatigue
+437 -34
View File
@@ -9,63 +9,466 @@ metadata:
# GCP Audit Logs
Audit GCP activity with Cloud Audit Logs.
Audit GCP activity with Cloud Audit Logs for compliance, security investigation, and operational monitoring.
## When to Use
- Enabling organization-wide audit logging across GCP projects
- Meeting compliance requirements for SOC 2, HIPAA, PCI DSS, or FedRAMP
- Investigating unauthorized access or suspicious API activity
- Setting up alerting on administrative and data access events
- Exporting logs to BigQuery for long-term analysis and reporting
## Audit Log Types
```yaml
log_types:
admin_activity:
- Always enabled
- API calls that modify resources
- No charge
description: API calls that modify resource configuration or metadata
enabled: Always (cannot be disabled)
retention: 400 days (default)
cost: No charge
examples:
- Creating or deleting VM instances
- Changing IAM policies
- Modifying firewall rules
data_access:
- Must be enabled
- Read/write data operations
- Can be high volume
description: API calls that read resource configuration, metadata, or user data
enabled: Must be explicitly enabled (except BigQuery)
retention: 30 days (default)
cost: Can be significant at high volume
subtypes:
ADMIN_READ: Read resource configuration/metadata
DATA_READ: Read user-provided data
DATA_WRITE: Write user-provided data
system_event:
- Always enabled
- GCP system actions
description: Actions performed by GCP systems on behalf of resources
enabled: Always (cannot be disabled)
retention: 400 days (default)
cost: No charge
examples:
- Live migration of VM instances
- Automatic scaling events
policy_denied:
- Always enabled
- Access denials
description: Actions denied by VPC Service Controls or organization policies
enabled: Always (cannot be disabled)
retention: 400 days (default)
cost: No charge
```
## Enable Data Access Logs
## Enable Data Access Logs for an Organization
```bash
# Enable for all services
gcloud logging sinks create audit-sink \
storage.googleapis.com/audit-logs-bucket \
--log-filter='logName:"cloudaudit.googleapis.com"'
# Get current org IAM policy
gcloud organizations get-iam-policy ORG_ID --format=json > org-policy.json
# IAM policy for data access logs
gcloud projects get-iam-policy PROJECT_ID > policy.yaml
# Add auditConfigs section
gcloud projects set-iam-policy PROJECT_ID policy.yaml
# Add audit config to org-policy.json:
# {
# "auditConfigs": [
# {
# "service": "allServices",
# "auditLogConfigs": [
# {"logType": "ADMIN_READ"},
# {"logType": "DATA_READ"},
# {"logType": "DATA_WRITE"}
# ]
# }
# ],
# ...existing bindings...
# }
# Apply the updated policy
gcloud organizations set-iam-policy ORG_ID org-policy.json
# Enable data access logs for specific services at project level
gcloud projects get-iam-policy PROJECT_ID --format=json > project-policy.json
# Example: enable only for Cloud Storage and BigQuery
# {
# "auditConfigs": [
# {
# "service": "storage.googleapis.com",
# "auditLogConfigs": [
# {"logType": "DATA_READ"},
# {"logType": "DATA_WRITE"}
# ]
# },
# {
# "service": "bigquery.googleapis.com",
# "auditLogConfigs": [
# {"logType": "DATA_READ"},
# {"logType": "DATA_WRITE"}
# ]
# }
# ]
# }
gcloud projects set-iam-policy PROJECT_ID project-policy.json
```
## BigQuery Analysis
## Configure Log Sinks for Export
```bash
# Create BigQuery dataset for audit log export
bq mk --dataset \
--description "Audit log export" \
--default_table_expiration 0 \
--location US \
PROJECT_ID:audit_logs
# Create organization-level log sink to BigQuery
gcloud logging sinks create org-audit-bigquery \
bigquery.googleapis.com/projects/PROJECT_ID/datasets/audit_logs \
--organization=ORG_ID \
--include-children \
--log-filter='logName:"cloudaudit.googleapis.com"'
# Get the sink writer identity and grant BigQuery access
SINK_SA=$(gcloud logging sinks describe org-audit-bigquery \
--organization=ORG_ID --format='value(writerIdentity)')
bq add-iam-policy-binding \
--member="$SINK_SA" \
--role="roles/bigquery.dataEditor" \
PROJECT_ID:audit_logs
# Create Cloud Storage sink for long-term archive
gsutil mb -l US -b on gs://org-audit-logs-archive
gsutil retention set 7y gs://org-audit-logs-archive
gcloud logging sinks create org-audit-storage \
storage.googleapis.com/org-audit-logs-archive \
--organization=ORG_ID \
--include-children \
--log-filter='logName:"cloudaudit.googleapis.com"'
STORAGE_SA=$(gcloud logging sinks describe org-audit-storage \
--organization=ORG_ID --format='value(writerIdentity)')
gsutil iam ch "$STORAGE_SA:objectCreator" gs://org-audit-logs-archive
# Create Pub/Sub sink for real-time streaming to SIEM
gcloud pubsub topics create audit-log-stream
gcloud logging sinks create org-audit-pubsub \
pubsub.googleapis.com/projects/PROJECT_ID/topics/audit-log-stream \
--organization=ORG_ID \
--include-children \
--log-filter='logName:"cloudaudit.googleapis.com" AND (protoPayload.methodName:"delete" OR protoPayload.methodName:"setIamPolicy" OR severity>=WARNING)'
PUBSUB_SA=$(gcloud logging sinks describe org-audit-pubsub \
--organization=ORG_ID --format='value(writerIdentity)')
gcloud pubsub topics add-iam-policy-binding audit-log-stream \
--member="$PUBSUB_SA" \
--role="roles/pubsub.publisher"
```
## Logging Queries (Cloud Logging Explorer)
```bash
# View admin activity logs for the last 24 hours
gcloud logging read 'logName:"cloudaudit.googleapis.com/activity"
AND timestamp>="2024-01-01T00:00:00Z"' \
--project=PROJECT_ID \
--format=json \
--limit=100
# Find IAM policy changes
gcloud logging read 'logName:"cloudaudit.googleapis.com/activity"
AND protoPayload.methodName="SetIamPolicy"' \
--project=PROJECT_ID \
--freshness=7d
# Find resource deletions
gcloud logging read 'logName:"cloudaudit.googleapis.com/activity"
AND protoPayload.methodName=~"delete"
AND severity>=NOTICE' \
--project=PROJECT_ID \
--freshness=7d
# Data access audit log entries
gcloud logging read 'logName:"cloudaudit.googleapis.com/data_access"
AND protoPayload.serviceName="storage.googleapis.com"
AND protoPayload.methodName="storage.objects.get"' \
--project=PROJECT_ID \
--freshness=24h
# Failed authorization attempts
gcloud logging read 'logName:"cloudaudit.googleapis.com/policy"' \
--project=PROJECT_ID \
--freshness=7d
```
## BigQuery Analysis Queries
```sql
-- Query audit logs from BigQuery export
-- All destructive operations in the last 30 days
SELECT
timestamp,
protopayload_auditlog.authenticationInfo.principalEmail,
protopayload_auditlog.methodName,
resource.labels.project_id
FROM `project.dataset.cloudaudit_googleapis_com_activity_*`
WHERE timestamp > TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 7 DAY)
protopayload_auditlog.authenticationInfo.principalEmail AS principal,
protopayload_auditlog.methodName AS method,
protopayload_auditlog.resourceName AS resource,
resource.labels.project_id AS project,
protopayload_auditlog.status.code AS status_code,
protopayload_auditlog.status.message AS status_message
FROM `project.audit_logs.cloudaudit_googleapis_com_activity_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
AND protopayload_auditlog.methodName LIKE '%delete%'
ORDER BY timestamp DESC
LIMIT 500;
-- IAM policy changes across the organization
SELECT
timestamp,
protopayload_auditlog.authenticationInfo.principalEmail AS changed_by,
resource.labels.project_id AS project,
protopayload_auditlog.resourceName AS resource,
protopayload_auditlog.servicedata_v1_iam.policyDelta.bindingDeltas
FROM `project.audit_logs.cloudaudit_googleapis_com_activity_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY))
AND protopayload_auditlog.methodName = 'SetIamPolicy'
ORDER BY timestamp DESC;
-- Activity per principal (detect anomalous usage)
SELECT
protopayload_auditlog.authenticationInfo.principalEmail AS principal,
COUNT(*) AS action_count,
COUNT(DISTINCT protopayload_auditlog.methodName) AS unique_methods,
COUNT(DISTINCT protopayload_auditlog.requestMetadata.callerIp) AS unique_ips,
MIN(timestamp) AS first_activity,
MAX(timestamp) AS last_activity
FROM `project.audit_logs.cloudaudit_googleapis_com_activity_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 7 DAY))
GROUP BY principal
ORDER BY action_count DESC
LIMIT 50;
-- Service account key creation events (security risk indicator)
SELECT
timestamp,
protopayload_auditlog.authenticationInfo.principalEmail AS created_by,
protopayload_auditlog.resourceName AS service_account,
protopayload_auditlog.requestMetadata.callerIp AS source_ip
FROM `project.audit_logs.cloudaudit_googleapis_com_activity_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 90 DAY))
AND protopayload_auditlog.methodName = 'google.iam.admin.v1.CreateServiceAccountKey'
ORDER BY timestamp DESC;
-- Data access patterns for sensitive Cloud Storage buckets
SELECT
timestamp,
protopayload_auditlog.authenticationInfo.principalEmail AS accessor,
protopayload_auditlog.resourceName AS object_path,
protopayload_auditlog.methodName AS access_type,
protopayload_auditlog.requestMetadata.callerIp AS source_ip
FROM `project.audit_logs.cloudaudit_googleapis_com_data_access_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 7 DAY))
AND protopayload_auditlog.resourceName LIKE '%sensitive-bucket%'
ORDER BY timestamp DESC
LIMIT 1000;
-- Failed operations indicating permission issues
SELECT
timestamp,
protopayload_auditlog.authenticationInfo.principalEmail AS principal,
protopayload_auditlog.methodName AS method,
protopayload_auditlog.status.code AS error_code,
protopayload_auditlog.status.message AS error_message,
protopayload_auditlog.requestMetadata.callerIp AS source_ip
FROM `project.audit_logs.cloudaudit_googleapis_com_activity_*`
WHERE _TABLE_SUFFIX >= FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 7 DAY))
AND protopayload_auditlog.status.code != 0
ORDER BY timestamp DESC
LIMIT 500;
```
## Alerting Policies
```bash
# Alert on service account key creation
gcloud alpha monitoring policies create \
--display-name="SA Key Created" \
--condition-display-name="Service Account Key Creation" \
--condition-filter='resource.type="audited_resource" AND protoPayload.methodName="google.iam.admin.v1.CreateServiceAccountKey"' \
--condition-threshold-value=0 \
--condition-threshold-comparison=COMPARISON_GT \
--condition-threshold-duration=0s \
--notification-channels=projects/PROJECT_ID/notificationChannels/CHANNEL_ID \
--combiner=OR
# Create a log-based metric for IAM changes
gcloud logging metrics create iam-policy-changes \
--description="Count of IAM policy changes" \
--log-filter='logName:"cloudaudit.googleapis.com/activity" AND protoPayload.methodName="SetIamPolicy"'
# Create alerting policy using the log-based metric
gcloud alpha monitoring policies create \
--display-name="IAM Policy Changes" \
--condition-display-name="IAM Changes Detected" \
--condition-filter='metric.type="logging.googleapis.com/user/iam-policy-changes"' \
--condition-threshold-value=0 \
--condition-threshold-comparison=COMPARISON_GT \
--condition-threshold-duration=0s \
--notification-channels=projects/PROJECT_ID/notificationChannels/CHANNEL_ID
# Create log-based metric for firewall changes
gcloud logging metrics create firewall-rule-changes \
--description="Count of firewall rule changes" \
--log-filter='logName:"cloudaudit.googleapis.com/activity"
AND (protoPayload.methodName="v1.compute.firewalls.insert"
OR protoPayload.methodName="v1.compute.firewalls.delete"
OR protoPayload.methodName="v1.compute.firewalls.patch")'
# Create log-based metric for VPC network changes
gcloud logging metrics create vpc-network-changes \
--description="Count of VPC network changes" \
--log-filter='logName:"cloudaudit.googleapis.com/activity"
AND resource.type="gce_network"
AND (protoPayload.methodName=~"insert$" OR protoPayload.methodName=~"delete$")'
```
## Terraform Configuration
```hcl
# Organization-level audit log sink to BigQuery
resource "google_logging_organization_sink" "audit_bigquery" {
name = "org-audit-bigquery"
org_id = var.org_id
destination = "bigquery.googleapis.com/projects/${var.project_id}/datasets/${google_bigquery_dataset.audit_logs.dataset_id}"
filter = "logName:\"cloudaudit.googleapis.com\""
include_children = true
bigquery_options {
use_partitioned_tables = true
}
}
resource "google_bigquery_dataset" "audit_logs" {
dataset_id = "audit_logs"
project = var.project_id
location = "US"
description = "Organization audit log export"
default_table_expiration_ms = null # No auto-expiry
access {
role = "WRITER"
user_by_email = google_logging_organization_sink.audit_bigquery.writer_identity
}
access {
role = "READER"
group_by_email = "security-auditors@example.com"
}
}
# Retention bucket with bucket lock
resource "google_storage_bucket" "audit_archive" {
name = "org-audit-logs-archive"
location = "US"
force_destroy = false
project = var.project_id
uniform_bucket_level_access = true
retention_policy {
is_locked = true
retention_period = 220752000 # 7 years in seconds
}
lifecycle_rule {
condition {
age = 90
}
action {
type = "SetStorageClass"
storage_class = "COLDLINE"
}
}
}
# Log-based alerting
resource "google_logging_metric" "iam_changes" {
name = "iam-policy-changes"
project = var.project_id
filter = "logName:\"cloudaudit.googleapis.com/activity\" AND protoPayload.methodName=\"SetIamPolicy\""
metric_descriptor {
metric_kind = "DELTA"
value_type = "INT64"
}
}
resource "google_monitoring_alert_policy" "iam_changes" {
display_name = "IAM Policy Changes Detected"
project = var.project_id
combiner = "OR"
conditions {
display_name = "IAM policy change count"
condition_threshold {
filter = "metric.type=\"logging.googleapis.com/user/iam-policy-changes\" AND resource.type=\"global\""
comparison = "COMPARISON_GT"
threshold_value = 0
duration = "0s"
}
}
notification_channels = [var.notification_channel_id]
}
```
## Setup Checklist
```yaml
gcp_audit_logs_checklist:
log_enablement:
- [ ] Admin activity logs verified active (always on)
- [ ] Data access logs enabled for sensitive services
- [ ] Data access exemptions configured to exclude high-volume, low-risk operations
- [ ] System event logs verified active (always on)
log_routing:
- [ ] Organization-level sink to BigQuery for analysis
- [ ] Organization-level sink to Cloud Storage for long-term archive
- [ ] Pub/Sub sink for real-time SIEM streaming (high severity events)
- [ ] Sink writer identities granted appropriate destination permissions
- [ ] Inclusion filters verified to capture all audit log types
storage_and_retention:
- [ ] BigQuery dataset created with appropriate access controls
- [ ] Cloud Storage bucket with retention policy and bucket lock
- [ ] Storage class lifecycle rules configured (Standard to Coldline)
- [ ] Default log retention in Cloud Logging extended if needed
alerting:
- [ ] Notification channels configured (email, PagerDuty, Slack)
- [ ] Log-based metric for IAM policy changes
- [ ] Log-based metric for firewall rule changes
- [ ] Log-based metric for service account key creation
- [ ] Alert policy for each critical metric
- [ ] Alert notification tested end-to-end
access_control:
- [ ] Logging Admin role restricted to security team
- [ ] BigQuery dataset read access granted to auditors only
- [ ] Storage bucket access restricted with IAM
- [ ] Sink configuration changes monitored via admin activity logs
```
## Best Practices
- Export to BigQuery for analysis
- Configure log retention
- Enable data access logs for sensitive resources
- Set up alerting policies
- Enable data access logs selectively on sensitive services to control cost and volume
- Use organization-level sinks with include-children to capture all projects automatically
- Export to BigQuery with partitioned tables for efficient querying over large time ranges
- Archive to Cloud Storage with bucket lock and retention policies for immutable long-term storage
- Create log-based metrics and alerting policies for high-severity events
- Stream critical audit events via Pub/Sub to SIEM for real-time correlation
- Apply exemptions to exclude high-volume read-only service accounts from data access logs
- Restrict access to audit log sinks and destinations with least-privilege IAM bindings
- Regularly run BigQuery analysis queries to detect anomalous patterns and generate compliance reports
- Monitor log sink health and delivery latency to ensure continuous audit coverage