Security intelligence
built with clear boundaries

Quantus Bridge platforms are designed with explicit trust boundaries, non-intrusive integration models, and deployment flexibility to fit modern cloud and regulated environments.

Platform architecture overview

Our platforms are built around a shared set of architectural principles: cloud-native integration, graph-based risk modeling, and separation of detection from enforcement.

Graph-based risk modeling

Assets, identities, configurations, and vulnerabilities are modeled as interconnected entities in a continuously updated graph.

This enables attack-path analysis, impact assessment, and contextual prioritization beyond static rule checks.

Streaming-first data processing

Security signals are processed as streams rather than batch jobs, enabling near real-time correlation and decision support.

This approach reduces latency, avoids data duplication, and lowers long-term storage cost.

Agentless and non-intrusive by design

No mandatory host agents

Core detection and analysis capabilities do not rely on host-based agents running inside production workloads.

This minimizes performance impact, operational overhead, and deployment friction.

Read-oriented cloud access

Cloud integrations are scoped to least-privilege, read-oriented access wherever possible.

Customers retain full control over remediation and enforcement actions.

Clear data flow and trust boundaries

Quantus Bridge platforms are designed with explicit separation between customer environments and platform components.

Customer-controlled data sources

All telemetry originates from customer-owned cloud accounts, infrastructure, or security systems.

No traffic injection or active probing is required.

Deterministic data processing paths

Data ingestion, transformation, and analysis paths are explicit, auditable, and observable.

This supports internal review, compliance validation, and change control.

Deployment models

CloudGuard

CloudGuard can be deployed as a managed SaaS platform or as an on-prem installation, depending on customer requirements.

SaaS deployments operate with strict tenant isolation and defined data boundaries.

SecureStream

SecureStream is designed for on-prem deployment inside customer-controlled environments.

This model supports low-latency processing, data sovereignty, and integration with existing internal systems.

Want to review the architecture in more detail?

We are happy to walk through reference architectures, data flow diagrams, and deployment options with your security or platform team.

Contact us →