Startup Native Targets Enterprise Policy-to-Architecture Gap Across Clouds

A startup founded by a former Amazon Web Services product leader emerged from stealth with $42 million to transform security policies into enforceable cloud architecture.

Native, a fast-emerging cloud security startup, has raised $31 million in a Series A funding round led by Ballistic Ventures to accelerate innovation in AI security and multi-cloud infrastructure protection. The funding will support the company’s mission to help enterprises transform complex security policies into enforceable, automated controls across diverse cloud environments.

Founded in 2024, Native is led by CEO and co-founder Amit Megiddo, a former leader of AWS GuardDuty. With deep expertise in threat detection and national security systems, Megiddo is now driving a new approach to AI in cybersecurity – one that moves beyond visibility tools toward real-time enforcement and policy-driven architecture.

“There’s something real here that now we feel is ready for the market,” said Megiddo. “The goal is to translate security intent into actual, enforceable architecture that evolves with the environment.”

Native addresses a persistent challenge in enterprise security: organizations often define policies but struggle to implement them consistently across cloud platforms such as AWS, Azure, and Google Cloud. Its platform enables businesses to replicate and standardize security architectures across environments, reducing complexity, improving efficiency, and minimizing reliance on specialized personnel.

The company remained in stealth mode until it achieved validation from Fortune 100 and Fortune 500 organizations, where its platform proved operationally critical in real-world deployments. Now, with fresh funding, Native plans to expand its go-to-market strategy while continuing to invest heavily in research and development.

A key differentiator for Native is its focus on translating abstract security policies into native cloud configurations that are automatically enforced. Instead of simply identifying risks, the platform ensures that security outcomes are embedded directly into infrastructure design – creating a “secure-by-design” environment that adapts as systems evolve.

As AI adoption accelerates, Native is also tackling emerging risks tied to AI-generated code. Large language models and autonomous agents are increasingly being used to write and modify infrastructure code, which can introduce misconfigurations or expose sensitive data. Native addresses this by implementing guardrails that ensure AI-driven changes comply with predefined security policies.

“We’re able to take security objectives and turn them into enforceable controls at the platform level,” Megiddo explained. “This allows organizations to leverage AI confidently while maintaining strict security boundaries.”

Looking ahead, Native plans to expand support for additional cloud environments, integrate identity and network controls, and enhance segmentation between production and non-production systems. The company is also exploring broader deployment models beyond traditional cloud use cases.

As enterprises move toward intent-driven, AI-enabled security strategies, Native is positioning itself as a first mover in a rapidly evolving market – bridging the gap between policy definition and real-world enforcement at scale.

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