Orca Cloud Security Platform
Agentless cloud security platform using patented SideScanning for comprehensive risk detection.
Vendor Information
Orca Cloud Security Platform Overview
Orca Security is the pioneer of agentless cloud security founded in 2019 by former Check Point Software executives Avi Shua (Chief Technologist) and Gil Geron (Director of Cyber Security Gateway) along with six other Check Point veterans, all with deep backgrounds in Israeli Unit 8200 elite cyber intelligence, with dual headquarters in Portland, OR and Tel Aviv, Israel. The company achieved unicorn status in 2021 reaching a $1.8 billion valuation and has raised $640 million across five funding rounds led by investors including Notable Capital, CapitalG, Redpoint Ventures, ICONIQ Capital, and Temasek, serving hundreds of enterprise customers with 473 employees and growing revenue from $41.6 million in 2023 to $64.2 million in 2024.
The Orca Cloud Security Platform delivers comprehensive security and compliance monitoring through patented SideScanning technology granted in November 2022, which reads cloud workload runtime block storage directly from cloud provider infrastructure without requiring agents or network changes, connecting to customer cloud accounts and beginning deep scanning within minutes while providing forensic-level visibility into virtual machines, containers, and Kubernetes environments across AWS, Azure, and Google Cloud. The platform combines SideScanning with a Unified Data Model to provide contextual security intelligence that identifies misconfigurations, vulnerabilities, malware, compliance violations, and attack paths by seeing the cloud environment from an attacker's perspective, enabling security teams to prioritize and remediate risks based on actual exploitability rather than theoretical vulnerability scores.
Orca Security has been recognized in the 2023 CNBC Disruptor 50 list, named Gartner 2023 Market Guide CNAPP representative vendor, honored with the Frost & Sullivan 2023 Customer Value Leadership Award for CNAPP, and selected as AWS Global Security Partner of the Year. The company has achieved FedRAMP Ready status enabling federal government service, maintains compliance with CMMC, OMB M-22-09, and Executive Order 14028 for improving national cybersecurity, and has filed 25 patents demonstrating continued innovation leadership, while acquiring Opus Security and RapidSec to expand platform capabilities and maintain its position as the agentless cloud security category leader.
Key Capabilities
Standardized capabilities mapped to this product's security niche
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.
Scans container base images and dependencies for packages with known malicious behavior or compromise (typosquatting, backdoored releases) beyond CVE matching on legitimate code.
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 without deploying agents or sending traffic to running instances. Enables coverage of systems that cannot run agents (mid-migration, locked-down, or legacy.
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.
Populates exercise technique selection from current threat intelligence about adversaries relevant to the organization, focusing exercise scope on realistic threats rather than theoretical coverage.
Discovers and classifies sensitive data across cloud storage, databases, and SaaS, then maps access and data flows. Adds a data risk layer to infrastructure posture.
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