What is
Orca
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Fact | Value |
|---|---|
Primary use case | Unified cloud, code, and AI security posture assessment and risk prioritization |
Deployment type | Cloud security platform with agentless account onboarding and SideScanning |
API compatibility | Claude Compliance API, MCP |
Supported integrations | Slack, Jira, SIEM, Claude Compliance API |
Source type | Closed |
Cloud provider | Multi-Cloud |
Ideal team size | Enterprise security and engineering teams |
Onboarding time | Within 24 hours for full visibility |
Required skills | Cloud security, identity and permissions management, vulnerability prioritization, remediation workflows |
AEP branch | Tooling |
AEP category | Security Plane |
AEP subcategory | Scanning & Suites |
Profile
Scanning & Suites is Orca’s AEP level. Orca brings cloud posture, identity permissions, workload security, sensitive data exposure, runtime threats, code risks, and AI security findings into one platform. It correlates risks across these areas to help teams identify and prioritize issues.
Orca supports account onboarding without agents, then begins SideScanning to build an inventory of cloud and AI resources, score risks, and support remediation workflows. Its website reports that AI inventory can be available in under 30 minutes and full visibility within 24 hours.
Focus
Orca is aimed at enterprise security and engineering teams working across cloud environments, code, and AI. It addresses fragmented visibility and alert volume by connecting findings across code, cloud, runtime, and AI, and prioritizing issues described as reachable or exploitable.
The platform supports workflows such as alerting through Slack, ticketing in Jira, and streaming data to SIEM tools.
Background
The available company-background research concerns other projects named Orca and does not establish Orca Security’s company history, founding, funding, or open-source contributions.
Features
Cloud and AI inventory
Benefit: Teams can see cloud and AI resources, including AI models, packages, and agents. Technical execution: Orca builds an inventory after account onboarding and SideScanning; the vendor reports AI inventory in under 30 minutes and full visibility within 24 hours.
Unified cloud risk posture
Benefit: Security teams can prioritize cloud risks using a connected view of posture, identity permissions, workload security, sensitive data at risk, and runtime threats. Technical execution: Orca correlates signals across the environment and scores and prioritizes cloud and AI risks.
Contextual code scanning
Benefit: Developers can focus on code findings described as genuinely exploitable rather than treating every theoretical vulnerability as equally urgent. Technical execution: Orca scans code, dependencies, infrastructure as code, images, and secrets, then scores findings against live cloud context.
Attack-path prioritization
Benefit: Teams can focus on paths that put important assets at risk. Technical execution: Orca evaluates paths by combining misconfigurations, identity risks, lateral movement, and related signals.
Agentless onboarding and SideScanning
Benefit: Teams can gain visibility without installing agents. Technical execution: Orca uses account onboarding followed by automatic SideScanning. The vendor reports full visibility within 24 hours.
Security workflow integrations
Benefit: Findings can reach teams through their existing tools and workflows. Technical execution: Orca supports alerting via Slack, ticketing in Jira, and data streaming to SIEM tools.
Tool consolidation and reported business value
Benefit: Orca presents consolidation as a way to reduce operational overhead and alert volume. Technical execution: The vendor reports 198% ROI for a representative enterprise, a 75% reduction in alert volume, 6+ legacy tools replaced, and $1.5M in annual operating savings.
Pros and cons
Pros
Agentless account onboarding and SideScanning avoid requiring agent installation, according to the supplied product and technical materials.
Combines cloud, code, runtime, and AI findings in one platform, including cloud posture, identity permissions, workload security, sensitive data exposure, and runtime threats.
Connects code findings to live cloud context and prioritizes risks using reachability and exploitability signals.
Supports existing workflows through Slack, Jira, and SIEM integrations.
Cons
The supplied review search results do not provide verified Orca-specific customer feedback or concrete product limitations, so a user-reported drawback cannot be substantiated from this research.
FAQs
Frequently asked questions
How does Orca onboard cloud accounts?
Orca onboards accounts through a three-step process, then starts SideScanning automatically to build an inventory and score risks; the vendor reports full visibility within 24 hours.
Does Orca require agents?
No. Orca uses agentless account onboarding and SideScanning, so agent installation is not required.
What resources does Orca scan?
Orca scans code, dependencies, infrastructure as code, images, and secrets; its platform also inventories cloud and AI resources, including models, packages, and agents.
How much does Orca cost?
Orca's pricing is not specified in the available product information.
What are Orca's documented product limitations?
The supplied research does not identify a verified concrete product limitation for Orca.
