Orca Security
Agentless cloud security platform vendor
Orca Security is a cloud security company that assesses risk across cloud accounts, workloads, and configurations without requiring an agent installed on every asset. It reads data directly from the cloud provider's infrastructure layer,…
Definition
Orca Security is a cloud security company that assesses risk across cloud accounts, workloads, and configurations without requiring an agent installed on every asset. It reads data directly from the cloud provider's infrastructure layer, such as virtual machine disk snapshots, to identify vulnerabilities, misconfigurations, exposed secrets, and excessive identity permissions across a cloud environment. It combines this with cloud security posture management, vulnerability management, and cloud infrastructure entitlement management under one unified risk view, competing in the CNAPP market.
Overview
Orca Security is a cloud security company built around SideScanning, a technique that inspects cloud workloads by reading disk and configuration data out-of-band from the cloud provider's APIs, addressing the operational burden of deploying and maintaining an agent inside every virtual machine, container, and serverless function just to get basic visibility. This agentless approach is the company's central differentiator against traditional cloud workload protection platforms, which historically required agent rollout across every asset to achieve equivalent coverage. Mechanically, the platform combines several categories that had often been sold as separate products: cloud security posture management that checks configurations against benchmarks like CIS, vulnerability management for workloads, cloud infrastructure entitlement management that analyzes overly permissive identity roles, and data security posture management that identifies where sensitive data lives and how exposed it is. Orca presents these findings together in a unified risk view, prioritizing issues by combining factors such as internet exposure and the presence of sensitive data, rather than reporting each category's findings in isolation as separate tools would. Because it does not require agent deployment, Orca can typically be connected to a cloud account and begin surfacing findings quickly, which is the practical reason security teams evaluate it over agent-based competitors when agent rollout overhead has been a persistent burden. The trade-off, and the reason it sits differently from neighbors like Aqua Security or Lacework, is that agentless scanning generally provides less real-time, in-workload visibility than an agent running continuously inside a machine, so it is often paired with, rather than substituted for, a runtime detection agent. In practice, Orca is used to assess cloud misconfigurations without deploying agents to every workload, identify overly permissive cloud identity and access roles, find sensitive data exposed in cloud storage, prioritize vulnerability remediation by combined exposure and impact, and onboard cloud security visibility quickly during an initial assessment. Orca competes in the cloud-native application protection platform category alongside Wiz, Palo Alto Networks' Prisma Cloud, and Aqua Security, a market that has consolidated multiple previously distinct cloud security tool categories into single platforms; organizations needing sub-second detection of an active in-progress attack typically still supplement Orca's posture-level findings with a dedicated runtime agent rather than relying on agentless scanning alone. For a buyer comparing Orca against Aqua Security, the practical trade-off is breadth versus depth: Orca's agentless model covers more ground quickly across an entire cloud estate, while Aqua's agent-based runtime enforcement goes deeper into container-specific behavior at the cost of requiring deployment effort.
Key Features
- SideScanning technology reading workload data without an installed agent
- Unified findings across posture management, vulnerabilities, and entitlements
- Data security posture management identifying exposure of sensitive data
- Risk prioritization combining exposure, severity, and sensitive-data context
- Cloud infrastructure entitlement management for identity permission analysis
- Rapid onboarding by connecting directly to cloud provider accounts
- Coverage across major public cloud providers from a single platform
Use Cases
Alternatives
Frequently Asked Questions
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