As an industry, we'vegotten good at findingrisk in the cloud.
Now, we also need tobuild defenses.
This was always the next step. AI makes it urgent.
AI changes the threat surface - and the opportunity. One platform to defend against AI-augmented attacks and safely deploy AI for your team.
Build active defenses that operate at AI speed
AI is accelerating both innovation and attack activity. Security teams need defenses that are already in place, continuously enforced, and able to hold as environments change, rather than relying on detection and remediation after the fact.
Give engineering teams safe room to use AI
AI agents are non-deterministic by nature, so guardrails can’t depend on the agent behaving as expected. The surrounding architecture has to define which models, systems, and data an agent can access, and enforce those boundaries from the outside.
Protect the AI infrastructure itself
Every engineering team is becoming an AI team. The models an application can call, the data they can reach, and the environments they can operate within are no longer just application-level choices. They are architectural decisions that need to be governed and enforced across the cloud.
The foundation of an activedefense is architecture.
Perimeters, segmentation, and enforced baselines - built in from the start.
Segment production from non-production
Hard boundaries so a breach in one environment can't reach another.
Keep sensitive data off the internet
Prevent accidental or forced exposure of your most critical information.
AI agents can't make destructive changes
Guardrails that stop autonomous actions before they cause damage.
All the building blocks forsecure architectureare already in your cloud.
They are the only way to build real defense, but they are complex.
Your cloud, mapped
We already know how your cloud is built.
Every zone, every connection, every actor — in one canvas. Click anywhere to take control.
“Secure by design and secure by default, it doesn’t just give you security, it gives you tremendous agility.”
“A lot of security tools, the more complex your environment is, the harder it is to leverage them. Native is the inverse.”
“A lot of the security controls are really detective and corrective only. We can see a problem, then we need a human to fix it.”
“Create one policy and push it out to the rest of the cloud.”
“The visibility problem is frankly pretty solved. The imperative now is to be proactive.”
From security intent to enforced Architecture
Every zone, every connection, every actor — in one canvas. Click anywhere to take control.
Align Multi Cloud Environments
One security architecture across AWS, Azure, Google Cloud, and OCI. Define it once, and Native enforces it everywhere.
Learn MoreSecure Cloud Services Adoption
Guardrails in place at every stage of adoption. Engineering teams get a governed path to move fast.
Learn MoreEnable AI for Engineering
Define what AI agents can reach and act on. Enforce boundaries that hold regardless of the permissions they inherit.
Learn MoreProtect from AI Attacks
Attackers have AI in their hands. Active defenses installed up front, so the attack surface closes before they arrive.
Learn MoreEnforce Data Perimeters
Perimeters enforced based on the nuance of every service and cloud access pattern. Native abstracts the complexity across every provider.
Learn MoreEnforce Compliance
Compliance requirements mapped to enforceable controls. Always audit-ready. No remediation cycles.
Learn MoreContain Blast Radius
Hard segmentation between zones, enforced at the architecture layer. If something's compromised, the damage stays contained.
Learn MorePrevent Misconfigurations
Shift from reactive findings to preventive enforcement. Eliminate alerts that stem from misconfigurations.
Learn More
Frequently Asked Questions
Native is a preventive cloud security platform that delivers Secure Cloud Architecture for the AI Era. It turns your built-in cloud security controls into operationalized secure architecture across AWS, Azure, Google Cloud, and OCI. Security teams define what must be true once, from identity, network, and data boundaries to what AI agents can reach and do. Native maps that intent to the provider-native controls each cloud already enforces, then helps teams roll them out safely and keep the architecture aligned as the environment changes. Native is built by Native Security Ltd. Explore the platform.
Native closes the gap between the security controls cloud providers already ship and the controls an organization has enforced. Most cloud security programs have strong visibility and too few guardrails, so the same misconfigurations come back after every fix. Teams use Native to prevent misconfigurations at the source, keep one security architecture aligned across providers, enforce data perimeters, contain blast radius through hard segmentation between zones, enforce compliance continuously, and adopt new cloud services with guardrails already in place. Teams also use Native to set enforced boundaries for AI agents and reduce the paths AI-enabled attackers can discover.
Native prevents misconfigurations through the guardrails a cloud provider evaluates when a request is made, such as AWS Organizations service control policies or Azure Policy assignments with a deny effect. CSPM and CNAPP tools scan the environment and report misconfigurations, vulnerable workloads, and overprivileged identities after they're live, which leaves a person to fix each finding and lets the next deployment bring it back. Once Native puts a guardrail in place, the provider rejects the risky change whether it came from a pipeline, the console, or an AI agent. Detection still matters, and CSPM and CNAPP tools stay useful for finding and prioritizing issues. Native changes what the cloud will allow, so fewer of those issues come back. Why CSPM Tools Can't Stop Cloud Misconfigurations from Recurring goes deeper on that cycle.
Native works alongside a CNAPP. The CNAPP finds and prioritizes cloud risk, and Native turns that context into provider-native controls that keep the highest-risk configurations from being accepted at all. Native integrates directly with Wiz, bringing Wiz findings and cloud context into the same views teams use to manage accounts, zones, and policies. See how Wiz and Native work together.
Native turns a security outcome into enforced, provider-native controls. Teams define what they want enforced in plain language, at any scope from a single account to the full estate. Native maps every account, workload, identity, and access path across AWS, Azure, Google Cloud, and OCI and shows what each provider enforces today. Before anything ships, Native replays real cloud activity against the proposed controls to show which identities and pipelines they'd affect. Teams then deploy through guided steps or Terraform and their existing IaC pipelines. After rollout, Native surfaces blocked actions and detailed call chains, routes them to the right people, and keeps the architecture aligned as the clouds change. The platform's components are Organizational Intelligence, Secure Architecture and Perimeter Modeling, Security Intent Translation, the Core Processing Engine, Impact Simulation, Enforcement, and Exception Management.
Native supports AWS, Azure, Google Cloud, and OCI. In each one, Native works through the provider's own preventive controls, such as SCPs and RCPs in AWS Organizations, Azure Policy and management groups in Azure, Organization Policy and VPC Service Controls in Google Cloud, and IAM policies and compartments in OCI. Native picks the controls that fit the outcome, so the exact set depends on the service and scope. Teams can define an intent once or start from controls that already work in one cloud, and Native maps it to equivalent provider-native controls in the others. Multi-Cloud Security Architecture shows how that model maps to each provider.
Native enforces AI agent boundaries from outside the agent. AI agents are probabilistic, so the environment has to be deterministic about what they're allowed to do. Teams set their own boundary or start from one Native recommends, covering which services an agent can use, what data it can reach, and which actions are off-limits. Native maps that boundary to provider-native controls, so the limits hold regardless of the permissions the agent inherits. Learn more about Enable AI for Engineering and Protect from AI Attacks.
Native shows the impact of every guardrail before it's enforced. Impact Simulation replays real cloud activity against the proposed control and shows which actions would have been blocked and which identities would be affected. Teams deploy through guided steps or their existing infrastructure-as-code workflows, and engineering teams see right away when a guardrail blocks an action, along with the call chain behind it.
Native maps each compliance requirement to an enforceable, provider-native control that holds continuously. Teams stay audit-ready year-round, and Native keeps enforcement aligned as providers, services, and the organization change. That removes the remediation cycle that starts over before every audit. Learn more about Compliance Enforcement.
Exception Management gives teams one place to track every policy exception and the business context behind it. As accounts, teams, and services change, Native helps keep the guardrails and their exceptions aligned.