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Security — Boggess AI Trust Center

Encryption at rest and in transit, zero trust architecture, penetration testing, and continuous security monitoring. How Boggess AI protects your data.

Security

Boggess AI's security posture is built on three principles: zero trust architecture, defense in depth, and prevention over detection. Every system interaction is authenticated, encrypted, and audited. Security is not a feature — it is the foundation on which all other capabilities are built.

Encryption

Data at Rest

All data stored by Boggess AI platforms is encrypted at rest:

  • Algorithm: AES-256 (Advanced Encryption Standard, 256-bit keys)
  • Key management: HashiCorp Vault with automatic key rotation
  • Database encryption: PostgreSQL with Transparent Data Encryption (TDE)
  • Object storage: MinIO server-side encryption (SSE-S3)
  • Backup encryption: All backup volumes encrypted with dedicated keys
  • Key storage: Hardware Security Module (HSM) backing for master keys

Customer-managed encryption keys (CMEK) are available for enterprise deployments. You control the key; we never have access to your encryption key material.

Data in Transit

All network communication is encrypted:

  • Protocol: TLS 1.3 (minimum), with TLS 1.2 supported for legacy clients
  • Certificate management: Automated certificate provisioning and renewal via cert-manager
  • Service-to-service: Mutual TLS (mTLS) between all internal services
  • API traffic: HTTPS enforced; HTTP requests redirected to HTTPS
  • Cipher suites: Forward secrecy required; ECDHE key exchange with AES-256-GCM

Secrets Management

  • All secrets stored in HashiCorp Vault, never in environment variables, code, or configuration files
  • 3-hour auth rule: All service tokens must be refreshed at minimum every 3 hours
  • Vault access: Via vault-cache MCP with local fallback for availability
  • Credential rotation: Automated detection of expired or soon-to-expire credentials
  • Audit logging: Every secret access logged with requestor identity and timestamp

Zero Trust Architecture

Boggess AI implements zero trust principles at every layer:

Network

  • No implicit trust: Every request authenticated regardless of network origin
  • Micro-segmentation: Kubernetes NetworkPolicies enforce service isolation
  • No flat network: Services cannot communicate unless explicitly permitted
  • External access: All external-facing services behind reverse proxy with WAF
  • Port binding: All Docker containers bound to 127.0.0.1 (localhost only), never 0.0.0.0

Identity

  • Authentication: Keycloak SSO with OIDC/SAML federation
  • Authorization: Role-based access control (RBAC) at service and resource level
  • Agent identity: AgentForest IAM for AI agent credential management (patent-backed)
  • Multi-factor: Required for all human administrative access
  • Session management: Short-lived tokens with automatic refresh

Application

  • Input validation: All API inputs validated against schema before processing
  • Output sanitization: Responses stripped of internal identifiers and system information
  • Dependency scanning: Automated vulnerability scanning on all dependencies
  • Container security: Minimal base images, no root processes, read-only filesystems where possible

Security Monitoring

Continuous Health Checks

55 health checks run continuously across the platform:

  • Infrastructure health (Kubernetes pods, Docker containers, service endpoints)
  • Credential expiry monitoring (30/14/7/1 day warning thresholds)
  • Network configuration verification (port bindings, firewall rules)
  • Application health (MCP server status, queue depths, connection pools)
  • Storage integrity (MinIO replication status, backup verification)

Security Scanning Pipeline

30+ security scanning tools run on a 4-hour cycle and on every code change:

  • Static analysis (SAST): Source code analysis for security vulnerabilities
  • Dependency scanning (SCA): Known vulnerability detection in dependencies
  • Container scanning: Vulnerability detection in container images
  • Configuration scanning: Infrastructure-as-code security analysis
  • Quality gates: SonarQube quality profiles, CodeRabbit AI review

Incident Response

Automated incident response follows a deterministic protocol:

  1. Detection: Health check or scanner identifies anomaly
  2. Classification: Severity assigned (informational/warning/critical)
  3. Containment: Automated containment for critical issues
  4. Remediation: Blue-green remediation pattern (build replacement, test, cutover)
  5. Verification: Post-remediation health check confirms resolution
  6. Documentation: Root cause analysis, remediation steps, prevention improvement
  7. Communication: Stakeholder notification via appropriate channel

Prevention principle: Every detected violation triggers a prevention improvement. The goal is that every type of incident can only occur once.

Penetration Testing

  • Frequency: Annual third-party penetration testing
  • Scope: External network, web applications, API endpoints, authentication systems
  • Methodology: OWASP Testing Guide, PTES
  • Remediation: Critical findings remediated within 72 hours; high within 30 days
  • Reports: Available to qualified prospects under NDA

Secure Development

Development Practices

  • Code review: All changes reviewed before merge
  • Branch protection: Main branch requires approval and passing CI
  • Commit signing: Git commit signing required
  • Secret detection: Pre-commit hooks detect secrets in code
  • Dependency pinning: All dependencies pinned to specific versions

CI/CD Security

  • Pipeline security: CI/CD pipeline includes security scanning at every stage
  • Deployment gates: Security checks are deployment prerequisites
  • Artifact verification: Build artifacts signed and verified before deployment
  • Rolling updates: Zero-downtime deployments via Kubernetes rolling updates
  • Rollback capability: One-command rollback to previous version

Vulnerability Disclosure

If you discover a security vulnerability in any Boggess AI product, please report it to security@boggess.ai. We will:

  1. Acknowledge receipt within 24 hours
  2. Provide an initial assessment within 72 hours
  3. Work with you on remediation timeline
  4. Credit you in our security acknowledgments (unless you prefer anonymity)

We do not pursue legal action against good-faith security researchers.

Contact

For security inquiries: security@boggess.ai

For the SOC 2 Type II report: Available under NDA. Contact sales@boggess.ai.