Orca Security
Agentless cloud security platform protecting AWS, Azure, and GCP environments with AI risk prioritization - 1,000+ enterprises deploy it without installing agents on VMs.
Orca Security is an agentless cloud security platform that detects vulnerabilities, misconfigurations, identity risks, and sensitive data exposure across AWS, Azure, Google Cloud, and Kubernetes environments without requiring agents to be installed on every virtual machine. Founded in 2019 by Avi Shua and Gil Geron in Tel Aviv and Santa Clara, the company raised $550 million in funding and reached a $1.8 billion valuation in 2022. Orca's SideScanning technology reads workload runtime context directly from cloud provider snapshots and APIs rather than requiring OS-level agent software, eliminating the operational burden of agent deployment and maintenance across large cloud estates. The platform's AI-powered Attack Path Analysis connects individual vulnerabilities, misconfigurations, and identity permissions into visual kill-chain paths that show exactly how an attacker could move from a public internet entry point to a critical asset, enabling security teams to prioritize the 1% of findings that create actual critical risk.
Key Features
- SideScanning technology reads cloud workload context from snapshots and APIs without installing agents on any virtual machine or container
- AI Attack Path Analysis chains individual vulnerabilities, misconfigurations, and permissions into visual kill chains showing exploitable paths to critical assets
- Risk prioritization scores findings by actual exploitability and blast radius - not raw CVSS score - so security teams work the right issues first
- Sensitive data discovery identifies PII, credentials, and secrets stored in cloud workloads and S3 buckets with context about exposure risk
- Shift-left IaC scanning checks Terraform, CloudFormation, and Kubernetes manifests for misconfigurations before they reach production deployment
- Compliance dashboards provide continuous monitoring against CIS, SOC 2, HIPAA, PCI-DSS, and GDPR frameworks with evidence collection built in
- AWS, Azure, GCP, and Kubernetes coverage unifies multi-cloud security posture into a single inventory and risk view without separate tools per provider
Use Cases
- Cloud security engineers getting full workload visibility across a large AWS or multi-cloud estate within hours of connecting Orca - no agent rollout project
- Security operations teams using AI attack path analysis to prioritize which of thousands of vulnerability findings actually create exploitable risk paths
- Compliance teams generating SOC 2 and PCI-DSS evidence reports automatically from continuous Orca monitoring rather than periodic manual assessments
- DevSecOps teams blocking misconfigurations in Terraform pull requests before infrastructure reaches production using shift-left IaC scanning
Pros
- Agentless deployment means full cloud visibility is achieved in hours not weeks - no agent rollout project, no OS compatibility issues, no operational overhead
- AI attack path visualization shows chained risk context that raw vulnerability lists cannot - prevents teams from wasting time on low-risk isolated findings
- $1.8B valuation and $550M raised confirm Orca as the leader in agentless cloud security with the R&D investment to stay ahead of new cloud threats
Cons
- Enterprise-only pricing with no published self-serve rates - small teams or startups cannot access Orca without a sales engagement and minimum contract
- Agentless approach means runtime behavioral detection is limited compared to agent-based EDR tools that observe process execution in real time
- SideScanning requires broad cloud read permissions that some security-conscious organizations are reluctant to grant to a third-party platform
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