JetStream Raises $34M for AI Governance
JetStream, founded by CrowdStrike and SentinelOne veterans, raised $34 million to tackle the governance gap in enterprise AI adoption. The funding reflects strong investor belief in platforms offering oversight and compliance tools for increasingly complex AI deployments. The round signals growing demand for AI governance solutions as enterprises scale their AI implementations.
The oversubscribed $34 million seed round was led by Redpoint Ventures and included the CrowdStrike Falcon Fund. Angel investors feature a lineup of cybersecurity heavyweights, including CrowdStrike CEO George Kurtz, Wiz CEO Assaf Rappaport, and Okta Vice-Chairman Frederic Kerrest. JetStream's founding team has a deep background in cybersecurity scaling. CEO Raj Rajamani previously served as Chief Product Officer at both CrowdStrike and SentinelOne, while COO Jared Phipps held senior sales roles at SentinelOne. The founders have experience leading product, engineering, and go-to-market functions at influential security companies like McAfee, Cohesity, and Cylance. The company aims to solve critical trust and control issues hindering enterprise AI adoption. Many executives struggle to answer basic questions about what data their AI systems access, how they behave, and who is accountable for AI-driven incidents. This lack of oversight is a primary blocker to moving AI projects from pilot programs to full-scale production. JetStream is entering a rapidly growing market, with the global AI governance market valued at over $300 million in 2025 and projected to reach over $3.5 billion by 2033, growing at a compound annual growth rate of 36%. This growth is driven by the urgent need for frameworks that ensure the responsible and ethical use of AI. The platform offers "AI Blueprints," a system that creates a dynamic map of how AI operates within an organization. This provides visibility into the connections between AI agents, the models they use, and the data they access, aiming to make AI workflows more transparent and auditable. Despite high optimism for AI's return on investment, a significant gap remains between ambition and deployment, with only a quarter of organizations successfully operationalizing most of their AI experiments. This highlights the need for governance solutions to manage risks like bias, data privacy breaches, and a lack of transparency.
