JetStream Secures $34M Seed Funding to Advance AI Governance

Artificial Intelligence & Machine Learning,
Next-Generation Technologies & Secure Development

Ex-CrowdStrike Product Leader Unveils Blueprint Model to Tackle MCP Server Issues and Cost Management

Startup JetStream Secures $34M Seed Round for AI Governance
Raj Rajamani, co-founder and CEO of JetStream (Image: JetStream)

JetStream, a startup focusing on artificial intelligence governance, has successfully secured $34 million in funding to enhance transparency around AI operational behavior. Founded by Raj Rajamani, the former chief product officer at CrowdStrike, the company aims to address significant oversight and trust issues prevalent in AI deployment.

The seed funding, led by Redpoint Ventures, is intended to tackle complexities related to autonomous AI operations, including managing model context protocol server proliferation and associated cost management. Rajamani highlighted that existing institutions, including Chief Information Security Officers (CISOs) and Chief Information Officers (CIOs), often lack the adequate visibility needed to oversee AI activities effectively within their organizations.

Founded in 2025, JetStream employs a team of 40 professionals and has garnered investment from notable figures including CrowdStrike’s CEO George Kurtz and Okta co-founder Frederic Kerrest. Rajamani brings extensive experience to JetStream, having previously held leadership roles at SentinelOne and Cylance.

Overcoming the Trust Barrier in AI Scalability

Rajamani articulated that the major obstacle in scaling AI isn’t the technology itself but rather organizational hesitance regarding transparency and predictability. The unpredictable nature of AI outputs often fuels skepticism among decision-makers accountable for compliance and operational integrity. He asserted that trust can be bolstered by demystifying AI systems through detailed operational blueprints.

JetStream’s blueprints provide a comprehensive overview of AI agent activities, detailing the tools and services used, the data accessed, and the identities involved, while also defining authorized operational contexts. This structured visibility enables JetStream to flag any deviations from prescribed operational norms.

While many technology providers address aspects of AI governance independently, Rajamani underscored that JetStream’s holistic approach aims to consolidate governance into a unified platform that covers visibility, regulatory compliance, financial oversight, and necessary safeguards. This includes response mechanisms, often referred to as a “kill switch,” to mitigate risks associated with out-of-control autonomous behaviors.

Challenges of MCP Server Proliferation and Key Sprawl

The proliferation of Model Context Protocol (MCP) servers poses a significant challenge for organizations, given that unauthorized installations can introduce vulnerabilities and expose companies to supply chain risks. Furthermore, key sprawl, often resulting from keys mistakenly published to public repositories, leads to potential exploitation risks for unauthorized access and abuse.

Rajamani noted that many enterprises mistakenly believe they are aligned with a singular AI provider; however, the actual landscape remains highly fragmented. He emphasized that clients frequently lack detailed visibility into token usage and associated costs, which can lead to unexpected financial liabilities.

JetStream differentiates itself by simplifying complex governance structures into actionable blueprints, thereby enhancing comprehension among stakeholders. Rajamani pointed out the company’s capabilities extend to fortifying enforcement mechanisms relevant to MCP management, asserting that JetStream can cut through the complexity with tangible governance solutions.

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