Orca Security Cloud Security API
Orca Security REST API for agentless cloud security platform. Enables AI agents to query cloud asset inventory, retrieve vulnerability findings, access compliance posture data, and surface attack path risks across AWS, Azure, and GCP. Orca's agentless approach provides full cloud visibility without installing agents.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
AUTHORIZED USE ONLY. Full cloud security attack surface data. SOC2, ISO27001, FedRAMP. API token with RBAC.
⚡ Reliability
Best When
A cloud security team using Orca wants AI agents to surface high-priority cloud risks, analyze attack paths, and integrate cloud security posture into SOC and compliance workflows. AUTHORIZED USE ONLY.
Avoid When
AUTHORIZED USE ONLY: Cloud security findings reveal attack surface across entire cloud infrastructure. Restrict agent access strictly.
Use Cases
- • Querying cloud asset vulnerability findings and risk scores from cloud security agents
- • Retrieving compliance posture and misconfiguration findings from cloud governance agents
- • Accessing attack path analysis and lateral movement risks from threat intelligence agents
- • Integrating cloud security posture data into SIEM and SOC workflow agents
Not For
- • On-premises workload security
- • Non-Orca cloud security platforms
- • Network-layer security monitoring
Interface
Authentication
Orca Security API token authentication. Tokens generated in Orca dashboard. Account-scoped with role-based access.
Pricing
Enterprise cloud security platform. API access included with subscription.
Agent Metadata
Known Gotchas
- ⚠ AUTHORIZED USE ONLY: Cloud security findings reveal full attack surface across cloud infrastructure
- ⚠ No public MCP server — REST API integration required
- ⚠ Orca asset data is large — use filters and pagination for targeted queries
- ⚠ Attack path data requires understanding of cloud security graph concepts
- ⚠ API rate limits undocumented — throttle for bulk asset queries
Alternatives
Full Evaluation Report
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Scores are editorial opinions as of 2026-03-07.