Orca Cloud Security Platform

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.

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

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

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.

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.

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.

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

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.

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

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.