Agentless Scanning Bypasses Engineering Approval

The real wedge here is control of the buying process, because agentless products can get into production through cloud API permissions instead of waiting for engineers to install software on hosts and clusters. Wiz built early adoption around read only, API based scanning across cloud assets, then layered in optional runtime sensors later. Upwind now mixes agentless cloud scanners with sensors, but its differentiation still depends on adding deeper runtime coverage after that first foothold.1 2 3 4 5

• Wiz positions agentless scanning as the fast start. Security teams connect cloud accounts, snapshot workloads, and map risks in minutes. Its runtime product is optional and sensor based, which means the initial deployment can happen before platform or application teams approve host level changes.1 2 3
• Orca follows the same adoption pattern. Its SideScanning model uses a one time cloud integration and avoids host agents, which makes it easier to land as a posture and vulnerability tool. That puts Wiz and Orca in the same practical category, easy security team led deployment first, deeper controls later.6 7 8
• Upwind argues that runtime data is what separates real danger from noisy findings, because sensors can see live processes, traffic, and file activity. But Upwind documentation also shows that this requires sensors or tracers on compute, so the strongest product signal comes after a more intrusive production rollout.4 5 9

The market is moving toward blended architectures. Agentless access wins the first meeting because it is fast and low friction. Runtime wins the expansion because it shows what is actually executing. The companies that combine both in one workflow will capture the broadest share of cloud security spend over time.1 2 4 5 9