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Platform Security Architecture

BURQ’s platform security architecture is built on the principles of zero trust, least privilege, and automation-driven resilience. This layer secures the foundation of how the BURQ iPaaS platform is architected, deployed, and operated in production. The following subsections outline how secure design, infrastructure, data transport, and DevSecOps practices collectively ensure a hardened and compliant environment.

Secure Product Design & Internal Service Isolation

BURQ follows secure-by-design principles throughout the software development lifecycle. Every product feature is evaluated for security impact during design reviews, with mandatory threat modeling for sensitive components.

The platform is built using a microservices architecture where each internal service is logically isolated and exposed only via authenticated internal channels. This segmentation ensures lateral movement is restricted, and only explicitly authorized services can communicate. Internal service calls are authenticated using signed tokens and encrypted over TLS.

BURQ regularly validates these boundaries through automated security tests and infrastructure policy audits.

Secure API Gateway and SDKs

All traffic entering or exiting the platform flows through a hardened API gateway that enforces schema validation, rate limiting, and throttling to mitigate threats. APIs follow strict authentication via OAuth 2.0 and support scoped tokens for granular access control.

BURQ’s public SDKs are securely versioned, tested for dependency vulnerabilities, and updated regularly. They are designed to prevent misuse through built-in input validation, secure defaults, and usage best practices embedded in documentation.

Secrets Management & CI/CD Security

Secrets, credentials, and environment variables used by BURQ services are never hardcoded or stored in source control. Instead, they are managed via Azure Key Vault and scoped to the exact workloads that require them.

BURQ’s CI/CD pipeline is built using Azure Pipelines, with security incorporated across every stage:

  • Code Commit: Automated scans for secrets, static code vulnerabilities, and insecure dependencies.
  • Build: Container images are scanned and signed.
  • Deploy: Only validated and signed artifacts are promoted via blue-green deployment strategies, allowing seamless rollback in case of anomalies.
  • Secrets injected at runtime are scoped using environment-level identity and access policies (RBAC), ensuring compartmentalized access.

Infrastructure as Code (IaC) and Runtime Hardening

All infrastructure provisioning, including virtual networks, Kubernetes clusters, and storage accounts, is managed using Infrastructure as Code (IaC) through tools like Terraform and ARM templates. IaC repositories undergo peer review, change tracking, and are monitored for drift to prevent configuration drift or shadow infrastructure.

BURQ runs production workloads in Azure Kubernetes Service (AKS), with hardened container images, network segmentation, and enforced namespace policies. Runtime protections include:

  • Security context enforcement (non-root execution)
  • Pod-to-pod traffic encryption
  • Container vulnerability scanning
  • Serverless function isolation (for event triggers and adapters)

These measures ensure that even during high-scale operations, attack surfaces remain minimal and contained.

Secure Data Movements

Data movement across BURQ is tightly controlled via two secure mechanisms:

  • Event-driven callbacks, using SSL-encrypted webhooks for real-time communication.
  • Scheduled polling, configurable from every 30 seconds to daily, with built-in retry logic.

Each transport mechanism is wrapped in:

  • Rate limiting, to prevent overload and ensure fair usage.
  • Circuit breakers that halt communication with unstable systems to avoid cascade failures.
  • Fault resyncing and refetching which automatically recover lost or incomplete payloads.

These systems are not only operational features but core security mechanisms that ensure integrity and reliability during data exchange.

Monitoring and Observability

BURQ continuously monitors platform health, security events, and workload performance using tools like Prometheus, Grafana, and Azure Monitor. Logs are centralized via the ELK stack, enabling detailed audit trails, anomaly detection, and rapid incident response.

All services emit metrics and log that feed into dashboards monitored by engineering and security teams. Unusual behavior or performance degradation triggers automated alerts, isolating the impacted workloads or containers and initiating rollback if needed.

Runtime Protection

BURQ services run in containerized environments orchestrated by Azure Kubernetes Service (AKS), with multiple safeguards applied at runtime:

  • Containers are scanned pre-deployment and monitored post-deployment for abnormal behavior.
  • Pod security policies enforce network restrictions, resource limits, and runtime constraints.
  • Runtime protection tools detect suspicious activity such as privilege escalation or memory tampering.
  • Autoscaling and self-healing capabilities prevent service disruption from resource exhaustion or crash loops.

All containers follow the principle of immutability and are patched regularly to minimize exposure.