Security and auditability are part of how we build.
We design AI systems to support enterprise security reviews and audit requirements.
Security principles
Least Privilege
Every component gets the minimum access required.
Data Minimization
We process only the data the task requires.
Auditability
Audit trail coverage for AI decisions, where applicable.
Measurable Quality
Eval harnesses validate accuracy before any deployment.
Safe Failures
Systems fail closed with rollback plans and circuit breakers.
Data handling in plain English
Scope-limited access
We access only the data sources your use case requires.
Retention expectations
Data retention follows your policies. We don't retain client data beyond the engagement.
Secrets management
API keys and credentials are stored in encrypted vaults.
Encryption standards
TLS 1.2+ in transit, AES-256 at rest.
Sensitivity classification
PII, PHI, and PCI data are automatically detected and classified.
Secure development lifecycle
Threat modeling
AI-specific threat models built during design.
Code review
All code undergoes peer review with security checklists.
Dependency scanning
Automated scanning for vulnerable dependencies in CI/CD.
Environment separation
Strict separation between dev, staging, and production.
Eval gates before release
Automated eval suites must pass before any deployment.
Access control & auditability
- RBAC with role-based permissions
- SSO integration (SAML, OIDC)
- Immutable audit logs
- Human-in-the-loop approval gates
- Session management with configurable timeouts
Testing & monitoring
- Automated security test suites
- Domain-specific eval harnesses
- Operational monitoring alerts
- Incident response playbooks
- Periodic red-teaming exercises (Enterprise tier)
Vulnerability disclosure
If you discover a vulnerability, report it to security@brightaura.ai. We acknowledge within 24 hours and provide a remediation plan within 72 hours.
Frequently asked questions
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