Native Releases Multicloud Security Control Plane to Bridge Cloud Defense Gaps + Video

Introduction: The Rising Pressure on Cloud Security in an AI-Driven Threat Landscape

Cybersecurity is entering a new era where speed defines survival. As artificial intelligence empowers attackers to discover and exploit vulnerabilities faster than ever, enterprises are struggling to keep pace. The growing complexity of multicloud environments only adds to the challenge, leaving security teams overwhelmed and fragmented. Into this high-stakes environment steps Native, a startup aiming to simplify and standardize cloud security across platforms with a new control plane designed for the multicloud age.

Summary: Native’s $42 Million Bet on Simplifying Multicloud Security Enforcement

The cybersecurity landscape is shifting rapidly as adversaries increasingly rely on artificial intelligence to accelerate both vulnerability discovery and exploitation. This evolution has dramatically compressed the window defenders have to detect and respond to attacks. At the same time, the rise in zero-day vulnerabilities, where attackers exploit flaws before patches are even released, has made proactive security more critical than ever.

Organizations have responded by investing in secure-by-design architectures, embedding security controls directly into their cloud environments rather than treating them as an afterthought. Major cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud Infrastructure already offer extensive native security tools. However, most enterprises use only a small portion of these capabilities. The reason is simple but critical: misconfigurations can disrupt business operations, and maintaining consistency across multiple cloud platforms is extremely complex.

This inconsistency creates a dangerous gap between an organization’s intended security strategy and what is actually implemented in practice. Security controls often vary across accounts, services, and cloud providers, leaving blind spots that attackers can exploit.

Native aims to solve this problem with its newly launched cloud security control plane. The platform allows security teams to define their security intentions at a high level. It then translates those intentions into provider-specific configurations and enforces them directly within each cloud environment. This approach ensures that security policies are not only defined but also consistently applied across all platforms.

Unlike traditional security tools that add additional layers of monitoring or detection, Native leverages the native security mechanisms already built into each cloud provider. This reduces complexity and avoids redundancy while maximizing the value of existing tools.

The platform also introduces several operational safeguards, including pre-deployment impact simulations that allow teams to test changes before applying them. Intelligent rollout strategies help minimize risk during implementation, while built-in approval workflows ensure that changes are reviewed and controlled. These features are designed to prevent disruptions to business operations, which is one of the primary concerns that has historically limited the adoption of native cloud security controls.

Native’s leadership team brings deep industry experience. CEO Amit Megiddo previously led Amazon GuardDuty at AWS. Chief Product Officer Gal Ordo led AWS Security Hub, and CTO Eyal Faingold served as vice president of cloud security at Check Point. The board also includes Phil Venables, adding further credibility to the company’s vision.

To support its launch, Native has raised $42 million in funding, including a $31 million Series A round led by Ballistic Ventures. The platform is already being adopted by organizations in sectors such as financial services, technology, and media, indicating early market validation.

What Undercode Say: The Real Battle Is Not Tools, But Control and Consistency

The emergence of Native signals a deeper shift in how cloud security is being approached. For years, the industry has focused heavily on detection, building layers of monitoring tools that generate alerts but often fail to prevent misconfigurations in the first place. Native flips this model by prioritizing enforcement over observation.

This shift is not just technical, it is philosophical. Security teams are no longer asking how to detect threats faster, but how to eliminate the conditions that allow those threats to succeed. In multicloud environments, the biggest vulnerability is rarely a missing tool. It is inconsistency.

Each cloud provider operates differently, with its own configurations, policies, and security controls. Even highly skilled teams struggle to maintain uniform security standards across AWS, Azure, Google Cloud, and Oracle. The result is fragmentation, and fragmentation is where attackers thrive.

Native’s approach, translating intent into enforcement, directly addresses this fragmentation. It abstracts complexity away from the user while still leveraging the strengths of each cloud provider. This is crucial because replacing native controls would introduce inefficiencies. Instead, Native acts as a unifying layer, ensuring that what should happen actually happens.

The inclusion of pre-deployment simulation is particularly significant. In enterprise environments, fear of disruption often outweighs the urgency of security improvements. By allowing teams to simulate changes before applying them, Native removes a major psychological and operational barrier.

Another important angle is the role of AI in modern cyber threats. Attackers are scaling faster than human defenders can respond. This creates an asymmetry that cannot be solved by hiring more analysts alone. Automation, standardization, and enforcement become essential. Native aligns with this reality by reducing reliance on manual processes.

However, the success of this model will depend on execution. Translating high-level security intent into accurate, provider-specific configurations is not trivial. Any abstraction layer introduces risk if it fails to account for edge cases or nuanced differences between platforms.

There is also a strategic question. As cloud providers continue to enhance their native security offerings, will they eventually build similar control planes themselves? If that happens, Native will need to differentiate through usability, integration, and cross-platform intelligence.

Despite these challenges, the direction is clear. The future of cloud security is not about adding more tools. It is about making existing tools work together in a coherent, reliable way. Native is positioning itself at the center of that transformation.

Fact Checker Results

✅ Native raised $42 million, including a $31 million Series A round
✅ Platform focuses on enforcing native cloud security controls across multiple providers
❌ Native does not replace cloud provider security tools, it orchestrates and standardizes them

Prediction

The rise of platforms like Native suggests a shift toward “security orchestration layers” becoming standard in enterprise cloud environments. As multicloud adoption continues to grow, companies that can unify and enforce security consistently will gain a significant advantage. 🔮
Automation-driven security enforcement will likely outpace traditional detection-based systems, especially as AI-driven attacks become more sophisticated. ⚡