Sovereign AI security. Where your software and data already live.
Run Aptori in your environment—with your infrastructure, your security controls, and your choice of AI models. Secure applications, APIs, and AI systems without requiring sensitive code, prompts, findings, or application context to be sent to a public AI provider.
Control where AI runs, what it can access, and where your data goes.
Sovereign AI is the ability to build, deploy, and operate AI while maintaining control over infrastructure, data, models, access, and where AI processing occurs.
Organizations can use on-premises infrastructure, private cloud, sovereign cloud, local AI models, and air-gapped environments to keep sensitive AI workloads within defined organizational or geographic boundaries.
For security teams, sovereignty matters because source code, application context, prompts, identities, vulnerabilities, and attack evidence can be among the most sensitive information in the enterprise.
Protect AI and software without giving up control of sensitive security context.
Sovereign AI security applies security testing, protection, and assurance while preserving organizational control over infrastructure, data residency, model access, and security telemetry.
Aptori helps organizations perform application and AI security analysis within customer-controlled environments, using approved private, local, enterprise, or sovereign AI models where AI is needed.
Deploy AI security where your requirements demand it.
Support air-gapped AI security, on-premises AI security, private cloud, and sovereign cloud deployments while keeping sensitive application and security context under organizational control.
Operate without external AI dependencies.
Run security analysis inside isolated or highly restricted environments using locally available infrastructure and approved models.
Run inside your infrastructure.
Deploy Aptori in customer-controlled environments and integrate with the development, security, and AI systems already there.
Keep security inside your cloud boundary.
Run in a customer-controlled VPC or VNet with approved private model endpoints and enterprise network controls.
Align with regional control requirements.
Deploy within approved regions and sovereign infrastructure while maintaining control over data location and model access.
Use private, local, or sovereign AI models.
Aptori can work with customer-approved AI models, while core security analysis can operate without depending on a public LLM.
Keep sensitive AI and security context under your control.
Security analysis can involve highly sensitive information. Aptori supports deployment patterns that help organizations keep that context within defined infrastructure, network, and data-residency boundaries.
Keep application security close to the software, data, and systems you protect.
Semantic Code Analysis
Understand control flow, data flow, authorization, business logic, and code behavior.
Explore Semantic Code Analysis →Dependencies + SBOM
Analyze vulnerabilities, reachability, containers, infrastructure as code, licenses, and software components.
Explore Software Composition Analysis →Semantic Runtime Validation
Validate authorization, objects, workflows, business logic, and exploitability in execution.
Explore Semantic Runtime Validation →Autonomous Penetration Testing
Exercise attack paths, validate defenses, preserve evidence, and retest remediation.
Explore Autonomous Pen Testing →AI Security
Test and protect AI applications, agents, models, tools, and agentic workflows.
Explore AI Security →One continuously updated view of risk
Connect security signals across software built by humans and agents without exporting sensitive context.
Explore the Platform →Your infrastructure. Your data. Your AI.
Keep control over the systems that determine how sensitive security and AI workloads operate.
AI-native security for organizations that cannot simply send sensitive context elsewhere.
Protect essential systems
Operate security capabilities within tightly controlled infrastructure and network boundaries.
Secure distributed software estates
Support private cloud, telco cloud, restricted environments, APIs, and software-defined infrastructure.
Keep sensitive application context controlled
Apply AI-assisted security without defaulting to public model infrastructure.
Operate in restricted environments
Support deployments where network access, data movement, and infrastructure are tightly governed.
Protect sensitive systems + data
Keep application-security analysis aligned with organizational data and infrastructure controls.
Control the AI security stack
Choose where Aptori runs, which models it uses, and how security data is handled.
Sovereign AI security questions.
What is Sovereign AI?
Sovereign AI is an approach to deploying and operating AI under defined organizational, geographic, infrastructure, data, and governance controls. It can include customer-controlled infrastructure, private or local models, data residency, restricted network access, and control over how sensitive data is processed.
What is Sovereign AI security?
Sovereign AI security applies security testing, protection, governance, and assurance while preserving the infrastructure, data, model, and residency controls required by the organization.
Can Aptori run air-gapped?
Aptori supports self-managed deployment patterns designed for restricted and air-gapped environments, allowing security analysis to operate within customer-controlled infrastructure.
Can Aptori run on-premises?
Yes. Aptori can be deployed in customer-controlled on-premises infrastructure, including Kubernetes-based environments.
Can Aptori use private or local AI models?
Yes. Aptori supports model-flexible architectures so organizations can use approved private, local, enterprise, or sovereign AI models where AI capabilities are required.
Does Aptori require a public LLM?
No. Aptori provides core security analysis without requiring a public LLM. AI-assisted capabilities can use customer-approved private or local models.
What is the difference between Sovereign AI and Private AI?
Private AI generally focuses on limiting access to AI systems and the data they process. Sovereign AI can include those controls while also addressing where infrastructure and models operate, data residency, organizational governance, and geographic or regulatory requirements.
Can Sovereign AI run without internet access?
Yes. Sovereign AI architectures can be designed for disconnected or air-gapped environments when the required models, software, infrastructure, updates, and operational processes are available inside the controlled environment.
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