Key Takeaways
- • Northstar Security emerged from stealth with $7 million in seed funding led by Wing Venture Capital, with participation from MVP, Outliers, and cybersecurity veterans Gerhard Eschelbeck, Renaud Deraison and Justin Somaini.
- • The startup is developing an agentic AI security platform that connects fragmented asset, identity, vulnerability and business data through a real-time Security Context Graph to identify and remediate combined risks.
- • Northstar supports more than 70 integrations, including AWS, Google Cloud, Microsoft Defender, Microsoft Entra, Okta, GitHub, Slack, Workday and Zendesk, and exposes its graph to external AI agents via Model Context Protocol.
- • The company has not disclosed customer counts, revenue or valuation associated with the seed round.
Summary
Northstar Security, a cybersecurity startup building an artificial intelligence platform to identify and remediate risks across enterprise IT environments, has emerged from stealth with $7 million in seed funding led by Wing Venture Capital. The round also included participation from MVP, Outliers, and industry veterans Gerhard Eschelbeck, Renaud Deraison and Justin Somaini. According to the company, proceeds will fund product development, team expansion and go-to-market initiatives as it introduces its agentic AI security platform to enterprise customers.
Founded by CEO Amer Deeba and CTO Ed Rowe, Northstar targets a persistent operational problem: security monitoring and detection tools generate large volumes of data, but information about assets, identities, vulnerabilities and business systems remains fragmented across platforms. This makes it difficult for security teams to see how individually low-priority weaknesses combine into larger exposures. The company's example is an unmanaged laptop that is a limited concern alone but a significant one if owned by an employee with privileged access to a critical financial system.
The platform uses a real-time Security Context Graph to link data from existing security and IT systems, allowing analysts and AI agents to understand relationships among assets, users, applications, vulnerabilities and business operations. An AI analysis layer prioritizes issues by business impact, and remediation capabilities coordinate actions across connected systems with optional human oversight. Northstar currently supports more than 70 integrations, and it makes its graph accessible to external AI agents through Model Context Protocol, allowing customers to build workflows with tools such as Claude.
Jake Flomenberg, partner at Wing Venture Capital, said the investment addresses the operational burden created by growing volumes of security findings. Eschelbeck, a former chief information security officer at Google, said the next generation of security operations will be measured by how quickly teams resolve risks rather than how many alerts they process. Randy Barr, CISO of Cequence Security, provided practitioner feedback on connecting existing security data with agentic workflows.
Deeba and Rowe first worked together at Adobe in the late 1990s. Deeba previously co-founded Normalyze, a data security company acquired by Proofpoint, and held senior leadership roles at Qualys. Rowe served as CTO of Farmers Business Network and as senior vice president of engineering at AppDynamics. The company's platform is available now, with demonstrations offered to evaluating organizations. Customer counts, revenue and valuation have not been disclosed.
Founded by CEO Amer Deeba and CTO Ed Rowe, Northstar targets a persistent operational problem: security monitoring and detection tools generate large volumes of data, but information about assets, identities, vulnerabilities and business systems remains fragmented across platforms. This makes it difficult for security teams to see how individually low-priority weaknesses combine into larger exposures. The company's example is an unmanaged laptop that is a limited concern alone but a significant one if owned by an employee with privileged access to a critical financial system.
The platform uses a real-time Security Context Graph to link data from existing security and IT systems, allowing analysts and AI agents to understand relationships among assets, users, applications, vulnerabilities and business operations. An AI analysis layer prioritizes issues by business impact, and remediation capabilities coordinate actions across connected systems with optional human oversight. Northstar currently supports more than 70 integrations, and it makes its graph accessible to external AI agents through Model Context Protocol, allowing customers to build workflows with tools such as Claude.
Jake Flomenberg, partner at Wing Venture Capital, said the investment addresses the operational burden created by growing volumes of security findings. Eschelbeck, a former chief information security officer at Google, said the next generation of security operations will be measured by how quickly teams resolve risks rather than how many alerts they process. Randy Barr, CISO of Cequence Security, provided practitioner feedback on connecting existing security data with agentic workflows.
Deeba and Rowe first worked together at Adobe in the late 1990s. Deeba previously co-founded Normalyze, a data security company acquired by Proofpoint, and held senior leadership roles at Qualys. Rowe served as CTO of Farmers Business Network and as senior vice president of engineering at AppDynamics. The company's platform is available now, with demonstrations offered to evaluating organizations. Customer counts, revenue and valuation have not been disclosed.
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