Problem

SubImage addresses the fragmented visibility and prioritization problem in cloud and on-premises security. Organizations can have publicly exposed resources, misconfigured storage, excessive identity permissions, vulnerable software, and complex transitive attack paths, but lack a unified view of what is exposed and what should be fixed first. The core pain is operational and risk-based: security teams must distinguish valid, actionable findings from generic alerts and prioritize the issues most likely to enable compromise.

The principal use case is identifying and contextualizing dangerous combinations—such as a public storage bucket, an exposed EC2 role, or a CVE affecting a sensitive database—then showing the relevant access path and remediation priority. The available material does not quantify the financial cost of these problems, but it clearly positions reducing exposure and focusing remediation effort as the economic benefit.

Product / Service

SubImage is a fully managed, agentless infrastructure-security platform from the team behind Cartography. It maps cloud and on-premises infrastructure through a secure, read-only API, with no software installation, performance impact, or ongoing maintenance. Its graph engine maps transitive risks and shows who has access to what, while IAM traffic visibility helps teams identify underused permissions and reduce excessive access.

The platform applies AI-tailored rules that adapt to an organization rather than relying only on generic checks, surfacing findings intended to be valid and fixable. It extends across cloud and identity providers as well as corporate security, productivity, and internal tools, giving customers personalized visibility into misconfigurations, attack paths, least-privilege gaps, and other infrastructure risks.

Market

SubImage competes in cloud infrastructure security and broader cloud-security-posture, attack-path, and identity-risk management. The product’s emphasis on graph-based infrastructure mapping, contextualized misconfigurations, least-privilege analysis, and agentless deployment places it alongside platforms addressing cloud exposure and security posture management. The available company material does not name specific competitors, so a definitive competitor list cannot be established from the research.

The company states that it is backed by Y Combinator and identifies Veriff and Neo4j as trusted by customers or users, while also benefiting from the credibility of the Cartography open-source project. No revenue figures, customer counts, or explicit revenue-stage designation are provided, so its precise commercial traction and whether it is pre-revenue cannot be determined from the available evidence.