ClearVector
A Reston, Virginia startup giving security teams identity-centric detection and one-click isolation across AWS, GCP, Azure, GitHub and Kubernetes.
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ClearVector builds identity-driven detection and response software for cloud-native environments, mapping activity across AWS, GCP, Azure, GitHub, Kubernetes and container runtimes back to the human, non-human and third-party identities behind it. Its platform includes in-workload sensors, an identity graph of interactions across environments, a detection engine the company says works within seconds, and “Guardrails” that let responders isolate a compromised identity or resource (such as an S3 bucket or Lambda function) with one click. A private-SaaS deployment option runs entirely inside the customer’s own environment, and the company has added an MCP server to connect AI agents to its platform.
Founded in 2020 in Reston, Virginia by CEO John Laliberte, the company raised a $13 million Series A in May 2025 led by Scale Venture Partners (announced by investor Ariel Tseitlin), bringing total funding to roughly $16 million.
Its differentiator is unifying identity as the detection and response lens across multiple cloud platforms and the software supply chain (including GitHub) at once, rather than treating each cloud or code platform as a separate silo — though it competes with much larger, better-resourced incumbents pursuing identity-centric cloud detection, including Wiz, CrowdStrike and Sysdig.
Innovation Matrix Assessment
Built out sensors, an identity graph, one-click isolation guardrails and an MCP server for AI agents over five years, reaching a Series A in 2025.
Gives security teams one identity-centric lens across fragmented cloud, container and code-hosting identities, directly cutting the time needed to investigate and respond to cloud incidents.
A $13 million Series A led by Scale Venture Partners (total ~$16M) is real but modest institutional backing five years after founding; no named large enterprise customers were found.
Identity-centric cloud detection is part of a broader industry shift (CIEM/ITDR convergence) rather than a wholly new model, and faces strong competition from much larger incumbents.
No named customer incident outcomes or independent test results were found; available evidence is from company materials and the funding announcement.
Using identity as the control plane for cloud-native environments is a durable architectural thesis as infrastructure keeps shifting toward ephemeral, API-driven resources.
Why CISOs Should Care
Collapses identity-related investigation and response across multiple clouds, Kubernetes and GitHub into a single workflow instead of several disconnected tools.
What Makes It Different
Unifies human, non-human and third-party identity activity across clouds and the software supply chain into one detection and response graph, including one-click isolation.
The Matrix Verdict
58/100 — INCREMENTAL INNOVATOR
An Incremental Innovator: a sound identity-centric approach to a real cloud-security problem, still early in scale and competing against much larger incumbents.
Editorial Note: Claims vs. Verified Findings
Product capability and "detection within seconds" claims come from company materials; no independent benchmark or named customer outcome was found.
Sources
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