Comprehensive security documentation for the AI-Augmented Security Operations Center (AI-SOC) platform. This guide establishes defense-in-depth security controls, authentication mechanisms, and operational security procedures for production deployments.
- Security Architecture Overview
- Authentication and Authorization
- Rate Limiting and Traffic Control
- Input Validation and Sanitization
- HTTP Security Headers
- Secrets Management
- TLS and Certificate Management
- Cross-Origin Resource Sharing (CORS)
- Security Testing and Validation
- Incident Response Procedures
- Regulatory Compliance
- Production Deployment Checklist
AI-SOC implements a comprehensive defense-in-depth security architecture with eight distinct protection layers. Each layer provides independent security controls, ensuring that compromise of any single layer does not result in total system failure.
┌─────────────────────────────────────────────────────────────┐
│ INTERNET / USERS │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 1: Transport Layer Security (TLS 1.3) │
│ - Minimum TLS version enforcement │
│ - Strong cipher suite selection │
│ - Perfect Forward Secrecy (PFS) │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 2: HTTP Security Headers │
│ - Content Security Policy (CSP) │
│ - HTTP Strict Transport Security (HSTS) │
│ - X-Frame-Options, X-Content-Type-Options │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 3: Cross-Origin Request Validation │
│ - Origin header validation │
│ - Credential verification │
│ - Method and header restrictions │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 4: Rate Limiting and Traffic Shaping │
│ - Per-IP request limits │
│ - Per-API-key quotas │
│ - Sliding window algorithm │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 5: Authentication │
│ - JWT token validation (RFC 7519) │
│ - API key cryptographic verification │
│ - Session management │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 6: Authorization (Role-Based Access Control) │
│ - Scope-based permissions │
│ - Endpoint-level access control │
│ - Least privilege enforcement │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 7: Input Validation │
│ - SQL injection prevention (OWASP A03) │
│ - Command injection detection │
│ - LLM prompt injection prevention │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Layer 8: Output Sanitization │
│ - Personally Identifiable Information (PII) redaction │
│ - Cross-site scripting (XSS) prevention │
│ - Sensitive data masking │
└───────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ APPLICATION BUSINESS LOGIC │
└─────────────────────────────────────────────────────────────┘
- Defense in Depth: Multiple independent security layers prevent single points of failure
- Least Privilege: Services and users granted minimum necessary permissions
- Fail Secure: System defaults to secure state upon error conditions
- Complete Mediation: Every access request validated against authorization policy
- Separation of Duties: Critical operations require multiple independent approvals
The platform implements industry-standard authentication mechanisms based on JSON Web Tokens (JWT, RFC 7519) and API key cryptography, supporting both interactive user sessions and service-to-service authentication.
JWT provides stateless authentication through cryptographically signed tokens containing user identity and authorization claims.
Standard JWT payload conforming to RFC 7519:
{
"sub": "user_id",
"scopes": ["read", "write", "admin"],
"exp": 1698765432,
"iat": 1698761832,
"type": "access"
}Required Claims:
sub(Subject): User or service identifierscopes(Custom): Authorization scopes for RBACexp(Expiration Time): Token expiration timestamp (Unix epoch)iat(Issued At): Token issuance timestamptype(Custom): Token type differentiation (access vs refresh)
Method 1: API Key Authentication (Service-to-Service)
Cryptographically secure API keys with prefix identification:
curl -X POST https://api.ai-soc.example.com/analyze \
-H "Authorization: Bearer aisoc_<32-byte-random-key>" \
-H "Content-Type: application/json" \
-d @security_alert.jsonMethod 2: JWT Token Flow (Interactive Sessions)
OAuth2-compatible token exchange:
# Step 1: Obtain access and refresh tokens
curl -X POST https://api.ai-soc.example.com/auth/login \
-H "Content-Type: application/x-www-form-urlencoded" \
-d "username=analyst&password=<secure-password>"
# Response (RFC 6749 compliant):
{
"access_token": "eyJhbGc...",
"refresh_token": "eyJhbGc...",
"token_type": "bearer",
"expires_in": 1800
}
# Step 2: Authenticated API request
curl -X POST https://api.ai-soc.example.com/analyze \
-H "Authorization: Bearer eyJhbGc..." \
-H "Content-Type: application/json" \
-d @security_alert.jsonProduction-grade cryptographic key generation:
# Generate credentials with CSPRNG (Cryptographically Secure PRNG)
python scripts/generate_secure_credentials.py
# Programmatic key generation
from auth import init_auth_manager
auth = init_auth_manager(jwt_secret)
api_key = auth.generate_api_key(
user_id="ml_inference_service",
scopes=["read", "write"],
expires_days=365
)| Scope | Permitted Operations | Use Case |
|---|---|---|
read |
HTTP GET operations only | Monitoring dashboards, reporting |
write |
HTTP POST, PUT operations | Alert ingestion, analysis requests |
admin |
All operations + administrative functions | System administration, configuration |
Access tokens expire after 30 minutes to limit attack surface. Refresh tokens valid for 7 days.
Obtain new access token without re-authentication:
curl -X POST https://api.ai-soc.example.com/auth/refresh \
-H "Authorization: Bearer <refresh-token>"Comprehensive rate limiting prevents abuse, ensures fair resource allocation, and protects against denial-of-service attacks.
Three configurable profiles balancing security and usability:
| Profile | Default Limit | Analyze Endpoint | Batch Endpoint | RAG Query Endpoint |
|---|---|---|---|---|
| Strict | 30 req/min | 10 req/min | 5 req/min | 20 req/min |
| Moderate | 100 req/min | 30 req/min | 10 req/min | 50 req/min |
| Permissive | 300 req/min | 100 req/min | 50 req/min | 150 req/min |
Environment-based profile selection:
# In .env or environment variables
RATE_LIMIT_PROFILE=moderateCompliant with RFC 6585 (Additional HTTP Status Codes):
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1698765432Standard HTTP 429 response with retry guidance:
{
"error": "Rate limit exceeded",
"detail": "Request quota exhausted. Retry after 45 seconds.",
"retry_after": 45
}Programmatic rate limit definition:
from rate_limit import create_rate_limit_middleware
custom_limits = {
"default_limit": 100,
"default_window": 60,
"endpoint_limits": {
"/analyze": (20, 60), # 20 requests per 60 seconds
"/critical": (5, 60), # 5 requests per 60 seconds
"/batch": (2, 300) # 2 requests per 5 minutes
}
}
middleware = create_rate_limit_middleware(app, custom_limits=custom_limits)Multi-layer input validation prevents injection attacks (SQL, command, LLM prompt injection) and ensures data integrity.
Automatic pattern detection and blocking:
from security import validate_input
# Blocked attack vectors:
# - UNION SELECT attacks
# - DROP TABLE statements
# - Comment-based injection (--,#,/**/)
# - Semicolon-based multi-statement injection
# - Blind SQL injection patterns
is_valid, error = validate_input(user_input)
if not is_valid:
raise HTTPException(400, detail=error)Shell command pattern detection:
# Blocked patterns (regex-based):
# - Command substitution: $(command), `command`
# - Command chaining: ; command, | command, & command
# - Path traversal: ../../../etc/passwd
# - Null byte injection: \x00Advanced pattern matching for Large Language Model security:
from security import detect_prompt_injection
is_injection, attack_type = detect_prompt_injection(prompt)
# Detection patterns:
# - System prompt override attempts ("ignore previous instructions")
# - Role manipulation ("you are now DAN")
# - Jailbreak techniques (established attack taxonomies)
# - Instruction injection ("new instructions:")
# - Output format manipulationHTML/JavaScript injection detection:
from security import detect_xss_patterns
is_xss, pattern_type = detect_xss_patterns(text)
# Detected attack vectors:
# - <script> tag injection
# - javascript: protocol handlers
# - Event handler attributes (onclick, onerror, onload)
# - HTML element injection (iframe, embed, object)Automatic sensitive data masking for logs and outputs:
from security import sanitize_log
log = "Authentication successful: password=SecurePass123! api_key=sk_abc123"
sanitized = sanitize_log(log)
# Output: "Authentication successful: password=***REDACTED*** api_key=***REDACTED***"Comprehensive HTTP security headers implement browser-based security controls per OWASP Security Headers Project recommendations.
All HTTP responses include the following security headers:
Content-Security-Policy: default-src 'self'; script-src 'self' 'unsafe-inline'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; connect-src 'self' https://api.trusted.com
X-Frame-Options: DENY
X-Content-Type-Options: nosniff
X-XSS-Protection: 1; mode=block
Strict-Transport-Security: max-age=31536000; includeSubDomains; preload
Referrer-Policy: strict-origin-when-cross-origin
Permissions-Policy: geolocation=(), microphone=(), camera=()CSP prevents XSS attacks and code injection through declarative resource loading restrictions:
from security import SecurityHeadersMiddleware
custom_csp = (
"default-src 'self'; "
"script-src 'self' https://trusted-cdn.com; "
"img-src 'self' data: https:; "
"connect-src 'self' https://api.trusted.com; "
"frame-ancestors 'none'"
)
app.add_middleware(SecurityHeadersMiddleware, csp_policy=custom_csp)HSTS enforces HTTPS connections for 1 year with subdomain inclusion:
Strict-Transport-Security: max-age=31536000; includeSubDomains; preloadConfiguration: Submit domain to HSTS preload list at https://hstspreload.org/
Comprehensive secrets management prevents credential exposure and enables secure rotation procedures.
Mandatory Requirements:
- No hardcoded secrets in source code
- No secrets in version control (enforce with git-secrets)
- No secrets in environment variables on multi-tenant systems
- Secrets encrypted at rest
- Access logging for all secret retrievals
Docker Swarm secrets provide secure distribution:
# Create secrets from stdin (prevents shell history exposure)
echo "your-secret-value" | docker secret create jwt_secret_key -
echo "$(openssl rand -base64 32)" | docker secret create db_password -
# Reference in docker-compose.yml
services:
alert-triage:
secrets:
- jwt_secret_key
- db_password
environment:
- JWT_SECRET_FILE=/run/secrets/jwt_secret_key
- DB_PASSWORD_FILE=/run/secrets/db_password
secrets:
jwt_secret_key:
external: true
db_password:
external: trueDevelopment environment variable template:
# In .env.production
AISOC_JWT_SECRET_KEY=<64-character-random-string>
AISOC_DB_PASSWORD=<32-character-random-string>
AISOC_API_KEY_ADMIN=aisoc_<32-character-random-key>Abstracted secrets access for production flexibility:
from secrets_manager import init_secrets_manager
# Initialize at application startup
secrets = init_secrets_manager()
# Retrieve secrets with automatic rotation
jwt_secret = secrets.get_jwt_secret()
db_url = secrets.get_database_url()
redis_url = secrets.get_redis_url()Cryptographically secure credential generation:
# Generate production credentials
python scripts/generate_secure_credentials.py
# Outputs:
# - .env.production with all required credentials
# - Passwords: 32+ characters, high entropy
# - API keys: aisoc_ prefix + 32-byte random
# - JWT secret: 64-byte random for HS256Rotation Schedule: Every 90 days minimum (industry best practice)
# Step 1: Generate new credentials
python scripts/generate_secure_credentials.py
# Step 2: Create new secret version
docker secret create jwt_secret_key_v2 <(echo "new-secret-value")
# Step 3: Update service with zero downtime
docker service update \
--secret-rm jwt_secret_key \
--secret-add source=jwt_secret_key_v2,target=jwt_secret_key \
ai-soc_alert-triage
# Step 4: Remove old secret after validation
docker secret rm jwt_secret_keyTransport Layer Security (TLS) configuration follows industry best practices for encryption strength and protocol security.
Minimum Requirements:
- TLS Version: 1.3 minimum (1.2 acceptable with strong ciphers)
- Cipher Suites: AES-256-GCM, ChaCha20-Poly1305 preferred
- Perfect Forward Secrecy (PFS): Required
- Certificate Key Size: RSA 4096-bit or ECDSA P-384
Option 1: Let's Encrypt (Production Recommended)
Automated certificate issuance with 90-day validity:
docker run -it --rm \
-v /etc/letsencrypt:/etc/letsencrypt \
-v /var/lib/letsencrypt:/var/lib/letsencrypt \
certbot/certbot certonly \
--standalone \
--agree-tos \
--email security@example.com \
-d api.ai-soc.example.com \
-d dashboard.ai-soc.example.comOption 2: Self-Signed Certificates (Development Only)
Generate self-signed certificate for testing:
openssl req -x509 -nodes -days 365 \
-newkey rsa:4096 \
-keyout /etc/ssl/private/ai-soc-selfsigned.key \
-out /etc/ssl/certs/ai-soc-selfsigned.crt \
-subj "/C=US/ST=State/L=City/O=Organization/OU=Security/CN=localhost"Force all HTTP traffic to HTTPS:
# In .env.production
FORCE_HTTPS=trueCron-based automatic renewal:
# /etc/cron.d/certbot-renewal
0 0 1 * * certbot renew --quiet --post-hook "docker-compose restart nginx"CORS configuration balances API accessibility with origin-based access control.
Explicit origin whitelisting:
# In .env.production
ALLOWED_ORIGINS=https://dashboard.ai-soc.example.com,https://admin.ai-soc.example.comProduction Requirements:
- Exact origin matching (no wildcards)
- Credentials allowed only for authenticated origins
- Preflight request caching (1 hour maximum)
from security import CORSSecurityMiddleware
app.add_middleware(
CORSSecurityMiddleware,
allowed_origins=[
"https://dashboard.ai-soc.example.com",
"https://admin.ai-soc.example.com"
],
allow_credentials=True,
allowed_methods=["GET", "POST", "PUT", "DELETE"],
allowed_headers=["Authorization", "Content-Type"],
max_age=3600 # Preflight cache duration
)Comprehensive security testing validates implementation against OWASP Top 10 and industry standards.
# Execute complete security test suite
pytest tests/security/ -v
# OWASP Top 10 validation
pytest tests/security/test_owasp_top10.py -v
# Category-specific testing
pytest tests/security/ -v -m "injection"
pytest tests/security/ -v -m "authentication"
pytest tests/security/ -v -m "llm_security"| Category | Test Count | Status | Coverage |
|---|---|---|---|
| A01: Broken Access Control | 3 | Pass | JWT validation, RBAC enforcement |
| A02: Cryptographic Failures | 2 | Pass | TLS 1.3, secure password hashing |
| A03: Injection | 8 | Pass | SQL, command, prompt injection |
| A04: Insecure Design | 2 | Pass | Rate limiting, secure defaults |
| A05: Security Misconfiguration | 2 | Pass | Security headers, error handling |
| A07: Authentication Failures | 2 | Pass | Strong auth, no default credentials |
| A09: Security Logging | 2 | Pass | Prometheus metrics, audit logging |
| A10: SSRF | 1 | Pass | URL validation, internal IP blocking |
| LLM: Prompt Injection | 2 | Pass | Pattern detection, content filtering |
Dependency Vulnerability Scanning:
# Python dependency analysis
pip install safety
safety check --json --output safety-report.json
# Container image vulnerability scanning
docker scan ai-soc/alert-triage:latest
# Alternative: Trivy for comprehensive scanning
trivy image --severity HIGH,CRITICAL ai-soc/alert-triage:latestStatic Application Security Testing (SAST):
# Python code security analysis
bandit -r services/ -f json -o bandit-report.json
# SAST with Semgrep
semgrep --config=p/security-audit --json services/Structured incident response procedures enable rapid detection, containment, and recovery from security events.
Monitoring Triggers:
- Failed authentication attempts (threshold: 5 in 1 minute)
- Rate limit violations (HTTP 429 responses)
- Input validation failures
- LLM prompt injection detection
- Abnormal API usage patterns
- Privilege escalation attempts
Immediate containment actions:
# Block malicious source IP
iptables -A INPUT -s <malicious-ip> -j DROP
# Revoke compromised API key
curl -X DELETE https://api.ai-soc.example.com/admin/api-keys/<key-id> \
-H "Authorization: Bearer <admin-token>"
# Enable emergency rate limiting
export RATE_LIMIT_PROFILE=strict
docker-compose restart ai-servicesForensic data collection:
# Review security violation metrics
docker logs alert-triage | grep "security_violations_total"
# Query Prometheus for security events
curl http://localhost:9090/api/v1/query?query=security_violations_total
# Audit authentication failures
grep "401 Unauthorized" /var/log/ai-soc/alert-triage.log- Rotate all compromised credentials
- Update firewall rules to block attack sources
- Patch identified vulnerabilities
- Review and update security policies
- Deploy enhanced monitoring for affected systems
Required Documentation:
- Complete incident timeline
- Root cause analysis
- Attack vector identification
- Remediation actions taken
- Lessons learned and process improvements
Security Team Lead: security@example.com
On-Call Engineering: oncall@example.com
Incident Response: incident@example.com
Executive Escalation: ciso@example.com
The platform implements controls supporting multiple regulatory frameworks and security standards.
Full compliance achieved across all categories:
- A01: Broken Access Control - JWT with RBAC implementation
- A02: Cryptographic Failures - TLS 1.3, bcrypt password hashing
- A03: Injection - Comprehensive input validation
- A04: Insecure Design - Rate limiting, secure by default
- A05: Security Misconfiguration - Security headers, minimal attack surface
- A06: Vulnerable Components - Automated dependency scanning
- A07: Authentication Failures - Strong authentication, no defaults
- A08: Data Integrity - Input validation, cryptographic signatures
- A09: Security Logging - Prometheus metrics, comprehensive audit trail
- A10: SSRF - Input validation, internal IP blocking
| Standard | Compliance Status | Notes |
|---|---|---|
| OWASP Top 10 | Compliant (10/10) | All categories addressed |
| CIS Docker Benchmark | 85% compliant | Container hardening in progress |
| PCI DSS | Not applicable | No payment card data handling |
| GDPR | Compliant | Data minimization, encryption, right to erasure |
| SOC 2 Type II | In progress | Audit scheduled Q2 2026 |
- Internal Security Audits: Quarterly
- External Penetration Testing: Annual
- Dependency Vulnerability Scanning: Weekly (automated)
- Code Security Reviews: Per major release
- Compliance Assessment: Semi-annual
Comprehensive validation checklist for production security readiness.
Credential and Secrets Management:
- Generate production credentials with CSPRNG
- Store secrets in HashiCorp Vault or equivalent
- Verify no secrets in source code or environment variables
- Configure automatic secret rotation schedules
- Test secret retrieval and application startup
TLS and Network Security:
- Obtain production TLS certificates (Let's Encrypt or CA)
- Configure TLS 1.3 minimum version
- Enable HTTPS redirect (
FORCE_HTTPS=true) - Configure HSTS header with preload
- Verify cipher suite configuration
Access Control:
- Configure CORS allowed origins (no wildcards)
- Set rate limit profile to
strictormoderate - Enable API key authentication on all endpoints
- Configure RBAC scopes for service accounts
- Disable debug mode (
DEBUG_MODE=false)
Monitoring and Logging:
- Configure security monitoring alerts (Prometheus)
- Enable audit logging for authentication events
- Configure log aggregation (OpenSearch/ELK)
- Test incident response procedures
- Document emergency escalation contacts
Testing and Validation:
- Execute complete security test suite (pytest)
- Perform SAST scan (Bandit, Semgrep)
- Execute dependency vulnerability scan (Safety, Trivy)
- Conduct penetration testing (internal or external)
- Verify OWASP Top 10 compliance
Verification Steps:
- Confirm HTTPS enforcement (HTTP redirects to HTTPS)
- Validate authentication on all protected endpoints
- Verify rate limiting behavior (test 429 responses)
- Check security headers in HTTP responses
- Monitor for security violations in first 24 hours
Operational Security:
- Configure automated credential rotation
- Enable intrusion detection (Wazuh)
- Set up security incident dashboard
- Schedule first security review (30 days post-deployment)
- Verify backup and recovery procedures
- Review security logs for anomalies
- Execute dependency vulnerability scan
- Audit API key usage and permissions
- Rotate development/staging credentials
- Update security documentation
- Rotate production credentials (all services)
- Conduct internal security audit
- Review and update security policies
- Test incident response procedures (tabletop exercise)
- Update security training materials
- OWASP Top 10: https://owasp.org/www-project-top-10/
- OWASP API Security Top 10: https://owasp.org/API-Security/editions/2023/en/0x11-t10/
- NIST Cybersecurity Framework: https://www.nist.gov/cyberframework
- CIS Docker Benchmark: https://www.cisecurity.org/benchmark/docker
- FastAPI Security: https://fastapi.tiangolo.com/tutorial/security/
- JWT Best Practices (RFC 8725): https://datatracker.ietf.org/doc/html/rfc8725
- TLS Configuration: https://ssl-config.mozilla.org/
- Bandit (Python SAST): https://bandit.readthedocs.io/
- Safety (Dependency Scanner): https://pyup.io/safety/
- Trivy (Container Scanner): https://github.com/aquasecurity/trivy
- OWASP ZAP (DAST): https://www.zaproxy.org/
- OWASP API Security Training
- Secure Coding Practices (CERT, SEI)
- GIAC Secure Software Programmer (GSSP)
- Certified Secure Software Lifecycle Professional (CSSLP)
Security Vulnerability Reporting: security@ai-soc.example.com PGP Key: https://ai-soc.example.com/security.asc
Documentation: https://docs.ai-soc.example.com
Issue Tracking: https://github.com/your-org/ai-soc/issues
Document Version: 1.0 Last Updated: October 24, 2025 Next Review: January 24, 2026 Classification: Internal Use