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Nirmata raises $9.6 million in funding to enhance its AI-driven cloud-native policy and governance solutions. The investment will support the company’s expansion, product development, and efforts to streamline security automation for enterprises adopting Kubernetes and cloud-native technologies. With growing demand for compliance and security in cloud environments, Nirmata aims to strengthen its position as a key player in policy-as-code solutions.
A Major Milestone for Nirmata’s Growth
Nirmata has secured $9.6 million in funding to accelerate its AI-powered cloud-native policy and governance solutions. The investment round was led by Peak XV Surge, formerly known as Sequoia Capital India & SEA, with participation from Dallas Venture Capital, Dreamit Ventures, Z5 Capital, and Uncorrelated Ventures.
This funding follows a period of strong customer adoption as enterprises seek more advanced security automation. With growing concerns over compliance, governance, and the complexity of cloud infrastructure, businesses are turning to policy-as-code solutions to improve security without slowing down development cycles.
The company plans to use the funds to expand its global presence, strengthen go-to-market efforts, and further develop its AI-driven security automation platform. As cloud-native technologies continue to evolve, Nirmata aims to provide organizations with more efficient ways to enforce policies and mitigate risks.
Why Cloud Security and Policy Automation Matter More Than Ever
The shift toward cloud-native applications and containerized workloads is driving rapid adoption of Kubernetes and AI-generated code. This transition introduces new security challenges, requiring businesses to rethink governance strategies.
Traditional security tools struggle to keep pace with the scale and complexity of modern cloud environments. Compliance requirements add another layer of difficulty, as organizations must continuously monitor policies across distributed infrastructures.
Automating security policies helps businesses enforce governance at scale while reducing manual effort. AI-driven policy solutions enable faster detection of misconfigurations, unauthorized access attempts, and compliance violations. As security teams face increasing workloads, automation plays a crucial role in maintaining secure operations.
How Nirmata Uses AI to Strengthen Cloud Governance
Nirmata’s approach to security automation is based on policy-as-code, allowing organizations to define, enforce, and manage security policies programmatically. This method ensures consistency across cloud environments while minimizing human error.
The company’s flagship offering, Nirmata Control Hub, leverages AI to generate, test, and enforce security policies. The platform continuously monitors applications and infrastructure for compliance issues, automatically remediating misconfigurations before they lead to security incidents.
Key benefits of Nirmata’s AI-driven governance solutions include:
- Automated policy enforcement – Reduces the need for manual oversight by continuously applying security controls.
- Faster compliance audits – Simplifies regulatory reporting by maintaining real-time policy records.
- Scalability across multi-cloud environments – Ensures security policies are applied consistently across diverse cloud architectures.
- Reduced security risks – Detects and mitigates threats before they impact operations.
By integrating AI-driven automation, Nirmata helps organizations strengthen security while maintaining agility in cloud-native development.
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Strong Market Growth and Industry Recognition
Enterprise demand for policy-as-code solutions has contributed to Nirmata’s rapid expansion. In 2024, the company recorded a tenfold increase in annual revenue for its policy and governance products.
Nirmata has also gained recognition within the cloud-native ecosystem. The Cloud Native Computing Foundation (CNCF) named the company a Top 20 contributor for 2024, highlighting its role in advancing open-source security initiatives.
Kyverno, the Kubernetes policy engine developed by Nirmata, has surpassed 3.2 billion downloads, ranking among the most widely adopted CNCF projects. Companies such as LinkedIn, Deutsche Telekom, and Wayfair rely on Kyverno to enforce security and compliance policies within their Kubernetes environments.
What This Funding Means for the Future of Nirmata
The latest funding round enables Nirmata to scale its operations and expand its technology offerings. A key focus will be enhancing AI-driven policy management capabilities to provide organizations with more intelligent security automation.
Investment in research and development will support improvements in automated policy enforcement, threat detection, and cloud compliance solutions. As part of its growth strategy, Nirmata plans to strengthen its partnerships with enterprise customers and cloud service providers.
With a presence in the US and India, Nirmata is expanding its reach to support global organizations facing security challenges in cloud-native environments. The company continues to invest in open-source contributions, further developing Kyverno to address evolving security requirements.
The Bigger Picture for Cloud Security and Compliance
AI and automation are transforming how organizations secure cloud-native applications. Policy-as-code solutions help businesses enforce governance at scale, reducing reliance on manual security processes.
As enterprises increase their reliance on AI-generated code and Kubernetes infrastructure, policy automation becomes a necessity. Organizations that integrate AI-driven security tools gain a strategic advantage by minimizing risks and maintaining compliance in complex cloud environments.
Nirmata’s focus on policy automation aligns with the broader industry shift toward proactive security strategies. With growing investments in AI-powered governance, companies are adopting more efficient methods to safeguard cloud-native applications and infrastructure.
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