Enterprise Integration Guide
This guide covers enterprise-level features and integrations for Kestrel, including security orchestration, compliance automation, and enterprise security platform integration.
Table of Contents
- Security Platform Integration
- Enterprise SSO and Authentication
- Policy Management
- Compliance Automation
- Incident Response Integration
- Metrics and KPIs
- Scalability and Performance
Security Platform Integration
Splunk Integration
Integrate with Splunk for centralized security monitoring:
splunk-integration.conf
[kestrel_findings]
SHOULD_LINEMERGE = false
TRUNCATE = 10000
TIME_PREFIX = \"timestamp\":\"
TIME_FORMAT = %Y-%m-%dT%H:%M:%S
KV_MODE = json
category = Application
description = Kestrel Security Findings
Splunk Universal Forwarder Configuration:
# Monitor Kestrel JSON reports
./splunk add monitor /var/log/kestrel/reports/ \
-sourcetype kestrel_findings \
-index security
# Send to Splunk via API
curl -k https://splunk.company.com:8088/services/collector \
-H "Authorization: Splunk $SPLUNK_HEC_TOKEN" \
-d @kestrel-report.json
Splunk Search Queries:
# Critical findings trend
index=security sourcetype=kestrel_findings severity=critical
| timechart span=1d count by rule_id
# Compliance score over time
index=security sourcetype=kestrel_findings
| eval compliance_score=round((compliant_requirements/total_requirements)*100, 2)
| timechart span=1d avg(compliance_score)
# Top vulnerable repositories
index=security sourcetype=kestrel_findings
| stats count by repository, severity
| sort -count
IBM QRadar Integration
Configure Kestrel findings for QRadar SIEM:
qradar-dsm.xml
<?xml version="1.0" encoding="UTF-8"?>
<device-extension xmlns="event_parsing/device_extension">
<pattern id="Kestrel_Finding">
<![CDATA[\"severity\":\"(?P<severity>\w+)\".*\"rule_id\":\"(?P<rule_id>[^"]+)\".*\"file\":\"(?P<filename>[^"]+)\"]]>
</pattern>
<event-match-single pattern-id="Kestrel_Finding">
<event>
<custom-property name="KestrelSeverity" property-name="severity"/>
<custom-property name="KestrelRuleID" property-name="rule_id"/>
<custom-property name="KestrelFile" property-name="filename"/>
</event>
</event-match-single>
</device-extension>
Elastic Stack Integration
Send findings to Elasticsearch:
logstash.conf
input {
file {
path => "/var/log/kestrel/*.json"
start_position => "beginning"
codec => "json"
type => "kestrel"
}
}
filter {
if [type] == "kestrel" {
# Parse severity as numeric for sorting
if [severity] == "critical" {
mutate { add_field => { "severity_numeric" => 4 } }
} else if [severity] == "high" {
mutate { add_field => { "severity_numeric" => 3 } }
} else if [severity] == "medium" {
mutate { add_field => { "severity_numeric" => 2 } }
} else {
mutate { add_field => { "severity_numeric" => 1 } }
}
# Extract repository from file path
grok {
match => { "file" => "/repos/(?<repository>[^/]+)/" }
}
}
}
output {
if [type] == "kestrel" {
elasticsearch {
hosts => ["elasticsearch:9200"]
index => "kestrel-findings-%{+YYYY.MM.dd}"
}
}
}
Kibana Dashboard Configuration:
{
"dashboard": {
"title": "Kestrel Security Dashboard",
"visualizations": [
{
"type": "pie",
"title": "Findings by Severity",
"query": "index:kestrel-findings-*",
"aggregation": {
"field": "severity",
"type": "terms"
}
},
{
"type": "line",
"title": "Security Trends",
"query": "index:kestrel-findings-*",
"time_field": "timestamp",
"aggregation": {
"field": "severity_numeric",
"type": "avg"
}
}
]
}
}
Enterprise SSO and Authentication
SAML Integration
Configure SAML authentication for enterprise environments:
saml-config.yaml
saml:
enabled: true
identity_provider:
metadata_url: "https://idp.company.com/saml/metadata"
entity_id: "https://idp.company.com"
sso_url: "https://idp.company.com/saml/sso"
certificate_file: "/etc/kestrel/saml/idp-cert.pem"
service_provider:
entity_id: "kestrel.company.com"
acs_url: "https://kestrel.company.com/saml/acs"
private_key_file: "/etc/kestrel/saml/sp-key.pem"
certificate_file: "/etc/kestrel/saml/sp-cert.pem"
attribute_mapping:
email: "http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress"
name: "http://schemas.xmlsoap.org/ws/2005/05/identity/claims/name"
groups: "http://schemas.microsoft.com/ws/2008/06/identity/claims/groups"
role_mapping:
"CN=SecurityAdmins,OU=Groups,DC=company,DC=com": "admin"
"CN=Developers,OU=Groups,DC=company,DC=com": "user"
"CN=Auditors,OU=Groups,DC=company,DC=com": "auditor"
LDAP Integration
Configure LDAP authentication and authorization:
ldap-config.yaml
ldap:
enabled: true
server:
host: "ldap.company.com"
port: 636
use_ssl: true
bind_dn: "CN=KestrelSvc,OU=ServiceAccounts,DC=company,DC=com"
bind_password: "${LDAP_BIND_PASSWORD}"
search:
base_dn: "DC=company,DC=com"
user_filter: "(&(objectClass=user)(sAMAccountName={username}))"
group_filter: "(&(objectClass=group)(member={user_dn}))"
attributes:
username: "sAMAccountName"
email: "mail"
display_name: "displayName"
groups: "memberOf"
authorization:
require_group: "CN=KestrelUsers,OU=Groups,DC=company,DC=com"
admin_groups:
- "CN=SecurityAdmins,OU=Groups,DC=company,DC=com"
- "CN=ITAdmins,OU=Groups,DC=company,DC=com"
auditor_groups:
- "CN=ComplianceAuditors,OU=Groups,DC=company,DC=com"
OAuth 2.0 / OpenID Connect
Configure OAuth for modern authentication:
oauth-config.yaml
oauth:
enabled: true
provider: "azure_ad" # or "okta", "auth0", "generic"
azure_ad:
tenant_id: "${AZURE_TENANT_ID}"
client_id: "${AZURE_CLIENT_ID}"
client_secret: "${AZURE_CLIENT_SECRET}"
redirect_uri: "https://kestrel.company.com/auth/callback"
scopes:
- "openid"
- "profile"
- "email"
- "https://graph.microsoft.com/User.Read"
claims_mapping:
user_id: "oid"
email: "email"
name: "name"
groups: "groups"
session:
timeout: 8h
refresh_threshold: 1h
secure: true
same_site: "strict"
Policy Management
Centralized Policy Configuration
enterprise-policy.yaml
# Enterprise Security Policy Configuration
enterprise_policy:
version: "2024.1"
effective_date: "2024-01-01"
review_date: "2024-12-31"
# Policy hierarchy
policies:
- id: "corporate_crypto_standard"
name: "Corporate Cryptographic Standards"
priority: 1
enforcement: "strict"
frameworks:
- "fips_140_3"
- "company_crypto_v2"
- id: "regulatory_compliance"
name: "Regulatory Compliance Requirements"
priority: 2
enforcement: "strict"
frameworks:
- "pci_dss_4"
- "sox_crypto"
- id: "development_guidelines"
name: "Development Security Guidelines"
priority: 3
enforcement: "advisory"
frameworks:
- "owasp_crypto"
- "nist_guidelines"
# Risk scoring matrix
risk_matrix:
critical:
score_range: [9.0, 10.0]
business_impact: "severe"
response_sla: "2h"
escalation: ["ciso", "security_team"]
high:
score_range: [7.0, 8.9]
business_impact: "significant"
response_sla: "24h"
escalation: ["security_team", "dev_managers"]
medium:
score_range: [4.0, 6.9]
business_impact: "moderate"
response_sla: "72h"
escalation: ["dev_team"]
low:
score_range: [0.0, 3.9]
business_impact: "minimal"
response_sla: "next_sprint"
escalation: []
# Exemption management
exemptions:
approval_matrix:
critical: ["ciso"]
high: ["security_manager", "ciso"]
medium: ["security_team"]
low: ["dev_manager"]
maximum_duration:
critical: 30 # days
high: 90
medium: 180
low: 365
review_frequency:
critical: "weekly"
high: "monthly"
medium: "quarterly"
low: "annually"
# Compliance thresholds
compliance_targets:
production:
critical_findings: 0
high_findings: 5
overall_score: 95
staging:
critical_findings: 2
high_findings: 10
overall_score: 90
development:
critical_findings: 5
high_findings: 20
overall_score: 80
Policy Enforcement Engine
policy-enforcement.go
package policy
import (
"fmt"
"time"
)
type PolicyEngine struct {
Config *EnterprisePolicy
ViolationLog ViolationLogger
NotificationService NotificationService
}
type PolicyViolation struct {
ID string `json:"id"`
PolicyID string `json:"policy_id"`
Severity string `json:"severity"`
Finding Finding `json:"finding"`
Timestamp time.Time `json:"timestamp"`
Status string `json:"status"`
Exemption *Exemption `json:"exemption,omitempty"`
}
func (pe *PolicyEngine) EvaluateFindings(findings []Finding) (*PolicyResult, error) {
result := &PolicyResult{
Timestamp: time.Now(),
Violations: []PolicyViolation{},
ComplianceScore: 100.0,
}
for _, finding := range findings {
violation := pe.evaluateFinding(finding)
if violation != nil {
result.Violations = append(result.Violations, *violation)
result.ComplianceScore -= pe.calculateScoreImpact(violation)
}
}
// Enforce policy thresholds
if err := pe.enforceThresholds(result); err != nil {
return nil, fmt.Errorf("policy enforcement failed: %w", err)
}
return result, nil
}
func (pe *PolicyEngine) enforceThresholds(result *PolicyResult) error {
env := pe.determineEnvironment()
thresholds := pe.Config.ComplianceTargets[env]
criticalCount := pe.countBySeverity(result.Violations, "critical")
highCount := pe.countBySeverity(result.Violations, "high")
if criticalCount > thresholds.CriticalFindings {
return fmt.Errorf("critical findings threshold exceeded: %d > %d",
criticalCount, thresholds.CriticalFindings)
}
if highCount > thresholds.HighFindings {
return fmt.Errorf("high findings threshold exceeded: %d > %d",
highCount, thresholds.HighFindings)
}
if result.ComplianceScore < thresholds.OverallScore {
return fmt.Errorf("compliance score below threshold: %.1f < %.1f",
result.ComplianceScore, thresholds.OverallScore)
}
return nil
}
Compliance Automation
Automated Compliance Reporting
compliance-automation.yaml
compliance_automation:
schedules:
daily_scan:
cron: "0 2 * * *" # 2 AM daily
scope: "changed_files"
frameworks: ["fips_140_3", "company_crypto_v2"]
notifications: ["slack_security", "email_devops"]
weekly_report:
cron: "0 8 * * 1" # 8 AM Monday
scope: "full_codebase"
frameworks: ["all"]
reports: ["html", "sarif", "compliance_summary"]
recipients: ["security_team", "dev_managers"]
monthly_audit:
cron: "0 9 1 * *" # 9 AM first of month
scope: "full_codebase"
frameworks: ["all"]
reports: ["executive_summary", "compliance_dashboard"]
recipients: ["ciso", "compliance_team", "executives"]
quarterly_certification:
cron: "0 10 1 1,4,7,10 *" # Quarterly
scope: "certification_scan"
frameworks: ["fips_140_3", "pci_dss_4", "sox_crypto"]
reports: ["certification_report", "audit_trail"]
recipients: ["external_auditors", "compliance_team"]
automation_rules:
auto_remediation:
enabled: true
severity_threshold: "high"
max_auto_fixes: 10
approval_required: true
policy_updates:
enabled: true
source: "git://compliance.company.com/crypto-policies.git"
update_frequency: "daily"
validation_required: true
exemption_tracking:
enabled: true
auto_expire: true
reminder_days: [7, 3, 1]
escalation_on_expiry: true
integrations:
grc_platform:
type: "servicenow"
endpoint: "https://company.service-now.com/api"
credentials: "${SERVICENOW_API_KEY}"
sync_frequency: "hourly"
audit_system:
type: "archer"
endpoint: "https://archer.company.com/api"
credentials: "${ARCHER_API_TOKEN}"
evidence_upload: true
ticketing:
type: "jira"
endpoint: "https://company.atlassian.net"
project: "SEC"
auto_create_tickets: true
severity_mapping:
critical: "Highest"
high: "High"
medium: "Medium"
low: "Low"
SOX Compliance Integration
sox-compliance.yaml
sox_compliance:
controls:
- id: "SOX-IT-001"
title: "Cryptographic Data Protection"
description: "Financial data must be protected using approved cryptographic methods"
requirements:
- "Use AES-256 for data encryption"
- "Use RSA-2048 or higher for key exchange"
- "Implement proper key management"
kestrel_rules:
- "approved-encryption-algorithms"
- "minimum-key-length"
- "key-management-best-practices"
testing_frequency: "quarterly"
- id: "SOX-IT-002"
title: "Data Integrity Controls"
description: "Ensure financial data integrity through cryptographic hashing"
requirements:
- "Use SHA-256 or stronger for data integrity"
- "Implement digital signatures for critical transactions"
- "Maintain hash verification logs"
kestrel_rules:
- "secure-hash-algorithms"
- "digital-signature-implementation"
testing_frequency: "quarterly"
evidence_collection:
automated: true
evidence_types:
- "scan_reports"
- "compliance_scores"
- "remediation_tracking"
- "exception_documentation"
retention_period: "7_years"
storage_location: "s3://sox-compliance-evidence/"
encryption: "required"
attestation:
frequency: "quarterly"
approvers: ["ciso", "cfo", "it_director"]
workflow: "servicenow"
deadline_days: 15
Incident Response Integration
Security Incident Automation
incident-response.yaml
incident_response:
triggers:
critical_finding:
severity: "critical"
auto_create_incident: true
priority: "P1"
assignment: "security_incident_team"
compliance_failure:
condition: "compliance_score < 80"
auto_create_incident: true
priority: "P2"
assignment: "compliance_team"
policy_violation:
condition: "policy_enforcement_failure"
auto_create_incident: true
priority: "P3"
assignment: "security_team"
workflows:
security_incident:
steps:
- action: "create_incident"
system: "servicenow"
template: "crypto_security_incident"
- action: "notify_stakeholders"
channels: ["slack", "email", "sms"]
recipients: ["security_oncall", "ciso"]
- action: "isolate_findings"
automated: true
scope: "affected_repositories"
- action: "begin_remediation"
automated: false
requires_approval: true
- action: "document_lessons_learned"
automated: false
deadline: "7_days"
playbooks:
crypto_vulnerability:
title: "Cryptographic Vulnerability Response"
steps:
- "Assess vulnerability impact and scope"
- "Determine if encryption keys are compromised"
- "Check for data exposure or unauthorized access"
- "Implement emergency patches if available"
- "Coordinate with legal and compliance teams"
- "Prepare customer communication if needed"
- "Conduct post-incident review"
compliance_breach:
title: "Compliance Framework Violation"
steps:
- "Document the specific compliance violation"
- "Assess regulatory reporting requirements"
- "Implement immediate corrective actions"
- "Notify relevant regulatory bodies if required"
- "Update policies and procedures"
- "Conduct staff retraining if necessary"
Metrics and KPIs
Security Metrics Dashboard
metrics-config.yaml
metrics:
collection:
frequency: "realtime"
retention: "2_years"
aggregation_intervals: ["hourly", "daily", "weekly", "monthly"]
kpis:
security_posture:
- name: "Overall Compliance Score"
target: "> 95%"
calculation: "(compliant_findings / total_findings) * 100"
trend: "increasing"
- name: "Critical Findings TTR"
target: "< 2 hours"
calculation: "avg(resolution_time) WHERE severity=critical"
trend: "decreasing"
- name: "Vulnerability Density"
target: "< 5 per 1000 LOC"
calculation: "total_findings / (lines_of_code / 1000)"
trend: "decreasing"
operational_efficiency:
- name: "Scan Coverage"
target: "> 98%"
calculation: "(scanned_repositories / total_repositories) * 100"
trend: "increasing"
- name: "False Positive Rate"
target: "< 5%"
calculation: "(false_positives / total_findings) * 100"
trend: "decreasing"
- name: "Automation Rate"
target: "> 80%"
calculation: "(automated_findings / total_findings) * 100"
trend: "increasing"
dashboards:
executive:
title: "Executive Security Dashboard"
refresh_rate: "daily"
widgets:
- type: "compliance_score_trend"
timeframe: "3_months"
- type: "risk_summary"
breakdown: "by_severity"
- type: "regulatory_status"
frameworks: ["fips_140_3", "pci_dss_4"]
operational:
title: "Security Operations Dashboard"
refresh_rate: "hourly"
widgets:
- type: "findings_by_repository"
top_n: 20
- type: "remediation_progress"
timeframe: "30_days"
- type: "scan_performance"
metrics: ["duration", "coverage", "success_rate"]
Business Intelligence Integration
bi-integration.yaml
business_intelligence:
data_warehouse:
type: "snowflake"
connection: "${SNOWFLAKE_CONNECTION_STRING}"
schema: "security_analytics"
tables:
findings:
name: "kestrel_findings"
partitioning: "scan_date"
retention: "7_years"
compliance:
name: "compliance_scores"
partitioning: "report_date"
retention: "7_years"
remediation:
name: "remediation_tracking"
partitioning: "created_date"
retention: "7_years"
etl_pipelines:
findings_pipeline:
source: "kestrel_json_reports"
schedule: "0 */6 * * *" # Every 6 hours
transformations:
- "normalize_severity_levels"
- "extract_metadata_fields"
- "calculate_risk_scores"
- "enrich_with_repository_data"
compliance_pipeline:
source: "kestrel_compliance_reports"
schedule: "0 8 * * *" # Daily at 8 AM
transformations:
- "aggregate_compliance_scores"
- "calculate_trend_metrics"
- "generate_regulatory_summaries"
reporting:
power_bi:
workspace: "Security Analytics"
datasets:
- "Security Findings"
- "Compliance Metrics"
- "Remediation Tracking"
refresh_schedule: "daily"
tableau:
server: "https://tableau.company.com"
project: "Security"
workbooks:
- "Cryptographic Security Dashboard"
- "Compliance Trends Analysis"
- "Risk Assessment Report"
Scalability and Performance
Enterprise Scaling Configuration
scaling-config.yaml
enterprise_scaling:
distributed_scanning:
enabled: true
coordinator_node: "primary"
worker_nodes:
- "scanner-01.company.com"
- "scanner-02.company.com"
- "scanner-03.company.com"
load_balancing: "round_robin"
failover: "automatic"
performance_optimization:
parallel_workers: 8
memory_limit: "8GB"
timeout_settings:
scan_timeout: "30m"
file_timeout: "5m"
rule_timeout: "30s"
caching:
enabled: true
backend: "redis"
connection: "redis://cache.company.com:6379"
ttl: "24h"
cache_rules: true
cache_dependencies: true
multi_tenancy:
enabled: true
isolation_level: "organization"
resource_quotas:
max_repositories: 1000
max_scans_per_day: 100
max_report_size: "100MB"
tenant_configuration:
- id: "engineering"
name: "Engineering Division"
resource_quota: "standard"
custom_rules: true
- id: "fintech"
name: "Financial Technology"
resource_quota: "premium"
compliance_frameworks: ["pci_dss_4", "sox_crypto"]
monitoring:
metrics_backend: "prometheus"
alerting: "alertmanager"
log_aggregation: "elk_stack"
alerts:
- name: "High Scan Latency"
condition: "scan_duration > 10m"
severity: "warning"
- name: "Scan Failure Rate"
condition: "failure_rate > 5%"
severity: "critical"
- name: "Queue Backlog"
condition: "queue_depth > 100"
severity: "warning"
Kubernetes Deployment
k8s-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: kestrel-enterprise
namespace: security
spec:
replicas: 3
selector:
matchLabels:
app: kestrel-enterprise
template:
metadata:
labels:
app: kestrel-enterprise
spec:
containers:
- name: kestrel
image: kestrel:enterprise-latest
resources:
requests:
memory: "2Gi"
cpu: "1"
limits:
memory: "8Gi"
cpu: "4"
env:
- name: KESTREL_MODE
value: "enterprise"
- name: KESTREL_CONFIG
value: "/config/enterprise-config.yaml"
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: kestrel-secrets
key: database-url
volumeMounts:
- name: config
mountPath: /config
- name: cache
mountPath: /cache
volumes:
- name: config
configMap:
name: kestrel-enterprise-config
- name: cache
persistentVolumeClaim:
claimName: kestrel-cache-pvc
---
apiVersion: v1
kind: Service
metadata:
name: kestrel-enterprise-service
namespace: security
spec:
selector:
app: kestrel-enterprise
ports:
- port: 80
targetPort: 8080
type: LoadBalancer
For implementation details and deployment guides, see the Implementation Examples.