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Falco Feeds extends the power of Falco by giving open source-focused companies access to expert-written rules that are continuously updated as new threats are discovered.
Security should align to deployment constraints, not redefine them
Many cloud-native security platforms are primarily designed around a fully connected, SaaS-based operating model.
But that model does not apply for a large segment of organizations.
Globally, infrastructure decisions are shaped by data sovereignty requirements, regulatory frameworks, and internal governance policies. As a result, organizations operate across a range of environments, including private cloud, on-premises infrastructure, and fully air-gapped systems where external connectivity is restricted by design.
These are established operating models, not exceptions.
Security platforms that depend on continuous external connectivity or centralized SaaS processing can introduce architectural friction in these environments. In practice, this often leads to trade-offs between visibility, control, and compliance. Teams may find themselves limiting coverage or redesigning infrastructure to accommodate the tool rather than selecting a solution that fits their constraints.
Sysdig is designed to operate across these constraints.
A cloud-native security architecture that supports multiple deployment models
Sysdig Secure is a cloud-native security platform that protects Kubernetes, containers, and hosts across SaaS and self-managed deployments, including on-premises, private cloud, and air-gapped environments.
Rather than enforcing a single delivery model, the platform supports multiple deployment patterns while maintaining a consistent runtime security foundation. This foundation is based on runtime visibility using eBPF and Falco, which provides system-level telemetry across environments. Behavioral detection capabilities are derived from this telemetry and are adapted to each deployment model, including differences in how rules are delivered and updated.
This consistency applies specifically to how runtime activity is captured and analyzed. At the same time, features, integrations, and data workflows vary depending on the deployment model.
Across these environments, Sysdig enables runtime threat detection using behavioral signals derived from system activity. It supports vulnerability management from build through runtime, with prioritization based on exploitability. It also supports continuous compliance monitoring aligned with frameworks such as CIS, PCI DSS, NIST, and ISO, along with incident response and forensic analysis using system-level telemetry.
However, how these capabilities are delivered and operationalized differs depending on the deployment model.
SaaS deployments can leverage centralized data processing, broader integrations, and continuous analytics. In environments where SaaS delivery is viable, this model typically enables faster access to new capabilities and a broader set of analytics and integrations. In contrast, self-managed and air-gapped deployments prioritize local data processing, controlled data flows, and investigation workflows that operate entirely within the environment.
The objective is not feature parity across environments. It is to provide a consistent security model that functions effectively within each set of constraints.
Private cloud: Kubernetes security with controlled data residency
Private cloud environments are often used to balance cloud-native architecture with data residency and governance requirements. This is particularly relevant for organizations operating under GDPR and similar regulatory frameworks, where data location and handling are subject to strict controls.
Sysdig Secure can be deployed within private cloud environments to ensure that security telemetry, detection, and analysis remain within defined boundaries. In this model, organizations can apply runtime threat detection, enforce compliance controls, and maintain visibility into Kubernetes workloads without exporting sensitive data outside of the environment.
For example, a financial institution operating within a regional private cloud can enforce runtime security policies and monitor workload behavior while ensuring that all security data remains within jurisdictional limits. This approach allows the organization to maintain both regulatory alignment and modern cloud-native security practices.
On-premises: System-level visibility with local control
On-premises environments remain critical for workloads with latency sensitivity, legacy dependencies, or regulatory constraints.
In these environments, traditional security approaches often provide visibility at the host level but lack insight into containerized and orchestrated workloads. This creates gaps in understanding how applications behave at runtime.
Sysdig addresses this by capturing system-level activity using eBPF and correlating it with container and Kubernetes context. This enables detailed visibility into process behavior, network activity, and file access within modern workloads.
Because deployment is self-managed, data collection, processing, and storage remain under the organization’s control.
For example, an organization running Kubernetes on-premises can detect anomalous process execution within containers and investigate runtime behavior without relying on external services or data transfer. This ensures that operational requirements and data control are maintained without sacrificing visibility.
Air-gapped environments: Security within isolated environments
Air-gapped environments impose strict constraints. External connectivity is not available, and all security capabilities must operate entirely within the environment.
Sysdig Secure supports these scenarios through self-managed deployments designed to function without external dependencies.
In air-gapped environments, Sysdig doesn’t rely on a constant internet connection for security updates. Instead, new Falco rules and vulnerability intelligence are packaged into update bundles that teams can periodically download in a connected location, move into their secure environment, and apply locally. This keeps detection content current while ensuring sensitive systems remain fully isolated from external networks
In this model, runtime detection, compliance checks, and forensic capabilities are executed locally. Data does not leave the environment, and integrations are limited to systems available within the isolated network.
Operationally, this changes how security teams interact with the platform. Instead of relying on continuous external analytics, investigations are typically scoped and targeted based on specific detections.
Using tools such as Sysdig Inspect and capture-based analysis, analysts can investigate activity within defined time windows. They can examine processes, network connections, and file behavior, then analyze system-level events to understand what occurred.
In critical infrastructure or defense environments, this allows analysts to perform full investigations locally while maintaining strict control over sensitive data. This approach emphasizes precision and relevance, which is essential in highly controlled environments.
Consistency in detection and investigation, not uniform capability
While deployment models differ, Sysdig maintains consistency in the underlying approach to runtime security.
Behavioral signals derived from system activity, Falco-based detection logic, and investigation workflows remain aligned across environments. This allows security teams to apply a consistent methodology when identifying and responding to threats.
At the same time, capabilities are adapted to reflect the constraints of each deployment model.
SaaS environments can support continuous analytics and broader ecosystem integrations. As a result, SaaS deployments can provide a more extensive set of capabilities, while self-managed and air-gapped deployments prioritize predictable and controlled operation, local processing, and controlled data handling.
This distinction is intentional. It ensures that security capabilities remain effective and operationally viable within each environment, rather than attempting to replicate SaaS behavior in contexts where that behavior is not feasible.
Reduces fragmentation across environments
Organizations operating across multiple environments often deploy different security tools for each one. This leads to fragmented visibility, inconsistent workflows, and increased operational overhead.
Sysdig provides a unified platform approach with deployment-specific implementations, all while maintaining a consistent runtime security foundation. Where supported, it integrates with SIEM, SOAR, and ticketing systems within each environment.
This approach allows organizations to standardize their security model without requiring identical infrastructure or deployment patterns.
Security aligned to real-world infrastructure
Modern infrastructure is inherently heterogeneous. Workloads may span public cloud, private cloud, on-premises systems, and isolated environments.
Security platforms need to operate within this reality.
Sysdig Secure enables organizations to protect Kubernetes, containers, and hosts across these environments while maintaining control over data handling, deployment architecture, and operational workflows.
The platform does not assume uniform infrastructure. It is designed to function within differing constraints while preserving a consistent approach to runtime security.
Sysdig provides adaptable security within defined constraints
Across all environments, the objectives remain consistent: Organizations need to reduce risk, maintain control, and respond effectively to threats.
Sysdig Secure supports these objectives by providing runtime visibility, threat detection, and forensic capabilities that can be deployed according to environmental constraints.
Effective cloud-native security is not defined by identical capabilities across environments. It is defined by the ability to deliver appropriate and effective security within each environment’s operational model.
See how Sysdig fits your environment, and book a demo today.