Our Security Philosophy

End-to-End Encryption

All data in transit is encrypted using TLS 1.2+ and at rest using AES-256 encryption standards.

Role-Based Access Control (RBAC)

We provide granular permission controls so your teams can access only what they need.

API & SDK Security

Our SDKS are built with secure defaults, code signing, and regular vulnerability scanning.

Secure Software Development Lifecycle (SSDLC)

We integrate static code analysis, pre-commit hooks, dependency scanning, and peer-reviewed pipelines into our DevSecOps workflow.

Data Minimisation

We only collect telemetry necessary to provide observability and insights—never full payloads unless explicitly configured.

Privacy by Design

Our architecture ensures compliance with GDPR, HIPAA, and upcoming EU AI/ML Act provisions.

Audit Logs & Traceability

Every interaction with your monitored AI/ML is logged and traceable for internal reviews and external audits.

Audit Logs & Traceability

Every interaction with your monitored AI/ML is logged and traceable for internal reviews and external audits.

Regional Deployment Options

Need to keep data in-region? Sector8.ai supports localised data handling for sensitive industries.

Cloud-Native and Hardened

Our systems are deployed in hardened cloud environments with continuous security monitoring and automated patch management.

Continuous Monitoring

We use observability tooling internally to monitor infrastructure health, latency, and suspicious activity.

Penetration Testing

We regularly work with third-party security experts to test our surface and remediate proactively.

Sector8.ai is not just built for trust—it’s built to support responsible AI/ML use. We provide real-time visibility into how LLMs behave, alert on anomalous interactions, and give security teams the tools they need to stop risks before they escalate.

We align with frameworks from: