Sysdig Platform

Enforces a single policy definition across AWS, Azure, and GCP resource types, translating to provider-native configurations rather than requiring separate policy sets per cloud.

Enriches cloud misconfigurations, vulnerable workloads, and runtime detections with threat intelligence on active exploitation, prioritizing exposures attackers use over theoretical severity alone.

Delivers scan results inside developer IDEs and pipeline stages so developers receive findings before code merges, reducing the cost and cycle time of remediation.

Correlates individual misconfigurations and CVEs into chained attack scenarios showing lateral movement paths from exposed entry point to a target asset. Produces a prioritized list of attack paths rather than a flat CVE inventory.

Exports compliance evidence pre-mapped to framework control requirements (SOC 2, ISO 27001, PCI DSS), in formats auditors can consume directly: not raw CSV exports requiring manual assembly.

Analyzes container images and dependencies for CVEs, malicious or compromised packages, and SBOM generation across the build pipeline.

Reads cloud volume snapshots out-of-band to assess workloads for vulnerabilities, secrets, and misconfigurations without agents or touching running instances.

Analyzes IAM policies across AWS, Azure, and GCP to surface over-permissioned roles, unused permissions, and cross-account trust relationships that create lateral movement opportunities.

Instruments workload behavior at the kernel level via eBPF without a traditional user-space agent. Provides syscall-level visibility into process execution, network connections, and file access in running containers and VMs.

Monitors running pod and container behavior against policy, detecting unexpected process execution, network connections, and privilege escalation at runtime rather than at image scan time.

Continuously audits cloud and Kubernetes configuration across AWS, Azure, and GCP against security benchmarks, flagging misconfigurations and identity-permission gaps that create exploitable exposures.

Scans infrastructure-as-code templates (Terraform, CloudFormation, Kubernetes manifests, and Helm charts) for misconfigurations and policy violations before deployment, so issues are caught in the pipeline rather than in production.

Discovers and classifies sensitive data in IaaS and PaaS stores such as object storage, databases, and data warehouses, surfacing data exposure risk alongside infrastructure findings.

Supports on-premises or air-gapped artifact and workload inspection under customer control, so regulated or sovereign data never leaves the customer boundary.