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The First Enterprise Platform for
Operationalizing Built-In Cloud Security Controls Across Multi-Cloud

The Cloud Security
Control Plane for the Enterprise

Define intent once, assess impact before rollout, and enforce consistent guardrails across AWS, Azure, Google Cloud, and OCI from a single operational layer

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How Native Works

INTENT

INTERPRETER

DESCRIBE YOUR SECURITY INTENTIONS

CUSTOMER

INPUT

INTENT

INTERPRETER

DESCRIBE YOUR SECURITY INTENTIONS

CUSTOMER

INPUT

INTENT

INTERPRETER

DESCRIBE YOUR SECURITY INTENTIONS

CUSTOMER

INPUT

Live ENVIRONMENT

IMPACT

Live ENVIRONMENT

IMPACT

Live ENVIRONMENT

IMPACT

CI/CD PIPELINE

IMPACT

CI/CD PIPELINE

IMPACT

CI/CD PIPELINE

IMPACT

AWS

SCPs & RCPs

Permissions Boundaries

Network ACLs

BEDROCK POLICIEs

Azure

Azure Policy

Remediation Tasks

Network Security Perimeter

RBAC CONTROLS

Google Cloud

Organization Constraints

VPC Service Controls

VPC Firewall

IAM ROLES

Oracle Cloud

SECURITY ZONES

IAM Deny Policies

Quota Policies

Network Security Groups

Effective policy analysis

Actor discovery

Slack

Teams

Amazon SNS

Google Chat

+ more

CLOUD PROVIDER updates

POLICY CHANGE REQUESTS

BLOCKED ACTIONS INFORMATION

Zone map

Actors placed in zones:

Production, Vendor, CI/CD, Internet, Data, AI Services

→

Gap analysis

GAP

Recommended building blocks vs. installed controls.

Gaps = work to be done

→

Plans

Auto-generated journeys from zone gaps. Each closes a specific archiTECTURAL gap

How the platform works

Native gives teams one platform to define outcomes, deploy controls, validate impact, and manage changes as cloud environments evolve.

Know your enforcement state

Architecture and Perimeter Mapping

Build and maintain cloud environments that are secure by design.

Get a live view of what security controls are deployed and active across every cloud provider, account, and workload
Surface coverage gaps where guardrails are missing or partially enforced
Understand true enforcement state across AWS, Azure, GCP, and OCI in a unified view
Know your posture before making changes, not after

Know your enforcement state

Architecture and Perimeter Mapping

Build and maintain cloud environments that are secure by design.

Get a live view of what security controls are deployed and active across every cloud provider, account, and workload
Surface coverage gaps where guardrails are missing or partially enforced
Understand true enforcement state across AWS, Azure, GCP, and OCI in a unified view
Know your posture before making changes, not after

Define outcomes, not policies

Intent Definition

Express your desired security outcomes in plain language. Native structures them into enforceable intents that apply consistently across every provider in your environment.

Express your security requirements without writing provider-specific policy code
Define intents at any scope: organization, business unit, account, or workload
Map intents to outcomes across data, identity, AI, network, region, and service access
Reuse and adapt intents as requirements evolve

Define outcomes, not policies

Intent Definition

Express your desired security outcomes in plain language. Native structures them into enforceable intents that apply consistently across every provider in your environment.

Express your security requirements without writing provider-specific policy code
Define intents at any scope: organization, business unit, account, or workload
Map intents to outcomes across data, identity, AI, network, region, and service access
Reuse and adapt intents as requirements evolve

From intent to enforcement controls

Security Architecture Generation

Native takes your defined intents and generates the provider-specific enforcement controls required to implement them: SCPs, RCPs, and declarative policies on AWS. Organization policies, IAM deny rules, and VPC Service Controls on Google Cloud. Azure Policy on Azure. One outcome, correctly expressed for every provider, without requiring deep expertise in each policy engine.

Generate correct AWS, Azure, GCP, and OCI controls from a single defined intent
Abstract provider complexity behind a unified security outcome model
Validate that generated controls correctly express the defined intent before deployment
Export as code or deploy directly through Native

From intent to enforcement controls

Security Architecture Generation

Generate correct AWS, Azure, GCP, and OCI controls from a single defined intent
Abstract provider complexity behind a unified security outcome model
Validate that generated controls correctly express the defined intent before deployment
Export as code or deploy directly through Native

Confident enforcement, from test to live

Simulation and Deployment

Model the real-world effect of any guardrail before it goes live. Replay historical activity, test against live identity and resource configurations, and get rollout recommendations that prevent disruption. When you're ready, deploy in one step.

Replay historical cloud activity to model potential enforcement impact
Test against live identity and resource configurations in your environment
Receive rollout recommendations that minimize operational disruption
Deploy via Terraform, native IaC pipelines, or guided step-by-step rollout
Post-deployment visibility into blocked actions and affected identities

Confident enforcement, from test to live

Simulation and Deployment

Replay historical cloud activity to model potential enforcement impact
Test against live identity and resource configurations in your environment
Receive rollout recommendations that minimize operational disruption
Deploy via Terraform, native IaC pipelines, or guided step-by-step rollout
Post-deployment visibility into blocked actions and affected identities

Provider changes tracked. Guardrails stay.

Continuous Enforcement

Cloud providers ship new services, update enforcement primitives, and deprecate controls on a continuous cycle. Native tracks those changes and keeps your guardrails aligned to your desired security outcomes automatically, so a provider update never silently opens a gap in your enforcement coverage.

Track provider changes and keep guardrails current automatically
Detect policy drift when guardrails are changed outside approved processes
Surface blocked actions and affected identities in real time
Notify engineering teams via Slack, Teams, or email when actions are blocked

Provider changes tracked. Guardrails stay.

Continuous Enforcement

Track provider changes and keep guardrails current automatically
Detect policy drift when guardrails are changed outside approved processes
Surface blocked actions and affected identities in real time
Notify engineering teams via Slack, Teams, or email when actions are blocked

Guardrails adapt as your organization evolves

Business Alignment

Every change to a guardrail, every exception approved, and every business requirement that shifts the scope of enforcement is tracked and auditable. As your organization evolves, Native adapts guardrails to match: new business units, changed access requirements, and acquired environments are brought into the architecture rather than left outside it. Exceptions require structured approvals with documented justification and automatic expiration.

Adapt guardrails as business requirements, org structure, and access needs evolve
Manage exceptions with structured approvals, documented justification, and automatic expiration
Track every guardrail change and enforcement decision with a full audit trail
Surface recurring enforcement friction to inform guardrail improvements over time

Guardrails adapt as your organization evolves

Business Alignment

Adapt guardrails as business requirements, org structure, and access needs evolve
Manage exceptions with structured approvals, documented justification, and automatic expiration
Track every guardrail change and enforcement decision with a full audit trail
Surface recurring enforcement friction to inform guardrail improvements over time

What you can enforce with Native

Each use case is a security outcome you can enforce architecturally, using your cloud providers' own mechanisms, across AWS, Azure, Google Cloud, and OCI.

Defend against AI-augmented threats

AI has changed the threat model. These use cases enforce the architectural conditions that make AI-augmented attacks structurally harder to execute.

Build AI-Ready Architectures

The gap

Every engineering team is building with AI now. Model integrations, data connections, and agent deployments are cloud architecture decisions being made under delivery pressure, without enforced boundaries. The risk accumulates team by team until an incident makes it visible.

What Native enforces

Define which AI services and models can be provisioned across accounts, subscriptions, and projects

Restrict which model endpoints can be called from which network contexts, preventing access to unsanctioned providers

Prevent AI services from accessing data classified as sensitive or PII in prompts or training pipelines

Enforce metadata and telemetry controls: prevent cloud providers from training on your data by default

Limit what AI agents can reach and act on, regardless of the permissions they inherit

The outcome

Engineering teams can build with AI at pace, inside guardrails that were in place before the first integration went to production.

Enforce architectural boundaries

The boundaries that contain blast radius, govern data access, and standardize enforcement across clouds don't emerge from configuration management. They have to be architected.

Enforce Data Perimeters

The gap

The AWS data perimeter alone requires dozens of individual policies across six access patterns, each updated as the provider changes. Most organizations have partial coverage and can't tell where the gaps are. Third-party access, cross-account data movement, and AI service data flows are the most common uncontrolled paths.

What Native enforces

Define which principals can access which data, from which networks, and under which conditions, enforced at the organization level

Prevent data from moving to regions or accounts outside approved boundaries, including through AI service calls

Block third-party access to data except through explicitly approved access patterns

Enforce encryption and key management policies at the resource level, not as a configuration check after the fact

Surface the complete set of access paths that can reach sensitive data, including cross-account and cross-service paths

The outcome

Data can only reside, move, and be accessed exactly within the boundaries you have defined and enforced.

Enforce Environment Segmentation

The gap

Without hard architectural boundaries, the blast radius of any compromise is bounded only by whatever permissions happen to exist. Production and non-production bleed together. AI-generated code changes can affect environments they were never meant to touch.

What Native enforces

Enforce hard network and identity boundaries between production and non-production environments at the organization level

Prevent cross-account actions outside explicitly approved patterns, with exception handling and audit trail

Restrict which services can communicate across account and workload boundaries

Enforce that only approved roles can take high-blast-radius actions: delete, share, modify at scale

Block AI agents from taking destructive actions outside their defined operational boundary

The outcome

Compromise of one resource, account, or workload cannot cascade beyond its defined architectural boundary.

Standardize Multi-Cloud Architecture

The gap

AWS, Azure, GCP, and OCI have different enforcement models, different policy engines, and different primitives. Most teams end up with deep coverage on their primary cloud and shallow coverage everywhere else. The weakest provider defines the actual security posture.

What Native enforces

Translate one defined security intent into the correct provider-specific controls for each cloud without manual re-authoring

Maintain cross-cloud equivalence even where provider enforcement mechanisms differ, with visibility into where they diverge

Detect and surface drift when any environment deviates from the defined architecture

Provide guided hardening for secondary or newly adopted cloud environments to bring them to parity

The outcome

One security architecture, consistently enforced across every provider. The secondary cloud is no longer the weak link.

Operationalize at scale

Enforcement that can't be sustained at scale isn't enforcement. These use cases address the operational reality of governing cloud security across large, fast-moving environments.

Reduce CSPM Noise

The gap

CSPM tools generate findings for misconfigurations that should never have been possible. The backlog grows faster than teams can triage it, and the underlying conditions keep recurring because nothing prevents them from recurring. Reactive finding management is not a scalable operating model.

What Native enforces

Enforce configuration standards at the provisioning layer so non-compliant resources cannot be created in the first place

Block the specific actions that generate your highest-volume recurring findings before they execute

Replace recurring finding patterns with structural guardrails that make the misconfiguration architecturally impossible

Surface which findings are symptoms of a missing guardrail versus genuine novel issues

The outcome

The misconfigurations generating your highest-volume alerts stop being possible. The backlog shrinks because the conditions that create it no longer exist.

Achieve Continuous Compliance

The gap

What Native enforces

Map compliance requirements to enforceable security intents and deploy them at the architecture layer

Enforce controls continuously so the environment cannot drift into non-compliance between audit cycles

Surface drift immediately when environments change and guardrails are bypassed or modified outside approved processes

Generate a full audit trail of every control, exception, and enforcement decision with timestamps and approvals

The outcome

The environment is always audit-ready. Compliance is a property of the architecture, not a project that runs before each audit.

Managing Cloud Controls at Scale

The gap

Governing security across hundreds of accounts, multiple cloud providers, and a continuously expanding set of controls quickly outpaces what manual processes can sustain. Most organizations end up with inconsistent coverage and no clear picture of what is actually enforced.

What Native enforces

Centralize enforcement definition, rollout, exception handling, and change tracking across all clouds and accounts

Scale coverage as your cloud footprint grows without scaling headcount to match

Maintain consistent enforcement standards even as new accounts, regions, and providers are added

Surface the complete enforcement state across your organization at any point in time

The outcome

Govern hundreds of accounts, multiple providers, and a continuously expanding set of controls without growing the team to match.

Accelerate Adoption of Cloud Services

The gap

New cloud services, regions, and providers require security review before teams can safely use them. That review creates a bottleneck. Teams find workarounds. Services get adopted without guardrails, and the architecture review catches up months later when the workload is already load-bearing.

What Native enforces

Deploy guardrails for newly adopted services before the first workload goes live, not after

Define the approved usage envelope for new services and enforce it automatically across all accounts

Give engineering teams a governed self-service path to adopt new services within defined boundaries

Extend existing security architecture to new providers and regions without rebuilding policy from scratch

The outcome

Engineering teams can adopt new cloud services at the speed the business requires, inside guardrails that are already in place before the first workload runs.

Accelerate Adoption of Cloud Services

The gap

What Native enforces

Deploy guardrails for newly adopted services before the first workload goes live, not after

Define the approved usage envelope for new services and enforce it automatically across all accounts

Give engineering teams a governed self-service path to adopt new services within defined boundaries

Extend existing security architecture to new providers and regions without rebuilding policy from scratch

The outcome

Engineering teams can adopt new cloud services at the speed the business requires, inside guardrails that are already in place before the first workload runs.