Orca Security
AI-powered cloud security platform delivering deep, accurate, and actionable protection from code to runtime
Key strengths
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Orca Security — Technical Use Cases
1. Agentless cloud workload protection (CWPP) Deploy Orca across multi-cloud environments without modifying workload configurations. SideScanning provides vulnerability detection, malware identification, and misconfiguration analysis across AWS, Azure, GCP, Oracle Cloud, Alibaba Cloud, and Tencent Cloud from a single control plane.
2. Attack path analysis & risk prioritization Orca correlates findings across vulnerabilities, misconfigurations, identity and access risks, and network exposure to generate prioritized attack paths — enabling security engineers to focus remediation effort on risks with real exploitability, not just raw CVE counts.
3. AI security & shadow AI discovery Detect unsanctioned AI models, pipelines, and AI-integrated services running within cloud environments. Critical for organizations managing AI governance, data exposure risk, and compliance obligations around AI workloads.
4. CNAPP consolidation Replace 6+ point security tools (CSPM, CWPP, CIEM, CDR, vulnerability management, etc.) with a unified platform, reducing integration overhead, alert fatigue, and licensing complexity.
5. Compliance automation Enforce and monitor multi-cloud compliance posture programmatically. The Claude (Compliance API) integration enables AI-assisted compliance querying and evidence generation.
6. SIEM & workflow automation Stream Orca findings to SIEM platforms and trigger Jira tickets or Slack alerts automatically, embedding cloud risk data into existing SecOps and DevSecOps pipelines via the Orca API.
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