Deployment

Choose SaaS, customer-controlled, or isolated AI security deployment

Enterprise AI environments rarely share one data-handling model. Some teams need rapid cloud delivery; others must keep prompts, agent traffic, telemetry, or evidence within approved infrastructure and regions. Highly regulated or isolated environments may have no external connectivity at all. Security controls must follow these operating requirements.
‍
PointGuard AI supports fully SaaS delivery, hybrid deployments with customer-managed data planes, and self-hosted operation in a customer cloud or on-premises environment. Sensitive gateways and processing can remain close to protected workloads, while approved management services can be centralized when the architecture allows. Fully air-gapped operation supports environments that cannot depend on external services.
‍
This flexibility helps organizations protect AI while meeting data sovereignty, privacy, operational, and resilience requirements.

SaaS

Start Quickly with Fully Managed SaaS

Use centrally operated platform services when cloud delivery fits enterprise security and data-handling requirements. SaaS simplifies rollout and ongoing operations across distributed teams while providing a consistent place to manage policy, view findings, and coordinate response. Security teams can expand protection as AI adoption grows.

  • Accelerate rollout across globally distributed teams

    Manage policies from one central service

    Expand coverage as AI adoption grows

Futuristic humanoid robot dressed as a police officer with glowing blue eyes and AI label, pointing with one hand against a circuit board background.

hybrid

Keep Sensitive Data Planes Customer-Managed

Run selected processing and gateway components inside customer-controlled cloud or on-premises infrastructure while retaining approved centralized management. A hybrid architecture can localize inspection of prompts, agent-to-tool traffic, and sensitive data near workloads. Teams choose where enforcement happens according to connectivity, privacy, and performance needs.

  • Host sensitive processing inside customer environments

    Inspect MCP traffic near protected workloads

    Keep only approved management services centralized

cloud

Deploy the Platform in Your Cloud

Self-host selected or complete PointGuard AI capabilities within a customer cloud environment. Apply existing network, identity, access, monitoring, and operational baselines to AI security services. Customer-controlled placement gives enterprises greater control over where processing, telemetry, and retained evidence reside.

  • Run platform components in customer cloud

    Apply existing enterprise cloud security baselines

    Control processing and evidence storage locations

Futuristic humanoid robot dressed as a police officer with glowing blue eyes and AI label, pointing with one hand against a circuit board background.

on premises

Operate within Enterprise Data Centers

Deploy platform capabilities in on-premises infrastructure when internal systems, privacy policy, or regulatory requirements call for local operation. Keep inspection and evidence within enterprise boundaries and connect to approved internal security workflows. Local placement lets teams govern AI systems that cannot depend on cloud-hosted enforcement.

  • Keep sensitive processing within enterprise infrastructure

    Integrate findings with internal security workflows

    Retain local control of sensitive evidence

isolation

Protect Fully Air-Gapped AI Environments

Run supported platform services inside isolated environments without relying on outbound network access. Local policy, inspection, and reporting support sensitive or restricted operations where external connectivity is prohibited. Organizations can bring governance to AI and agent workflows while preserving the separation their environment requires.

  • Operate securely without outbound network connectivity

    Support restricted and isolated AI systems

    Route findings into internal response processes

Futuristic humanoid robot dressed as a police officer with glowing blue eyes and AI label, pointing with one hand against a circuit board background.

sovereignty

Align AI Protection with Data Sovereignty

Choose approved regions, customer-controlled infrastructure, and local processing for sensitive prompts, data, telemetry, and audit evidence. Place gateways and data-plane services close to workloads and apply local access and retention policies. This helps organizations meet sovereignty objectives while maintaining consistent visibility and security controls.

  • Keep sensitive processing inside approved regions

    Localize gateways and sensitive data planes

    Control retention and access to evidence

Clients Words

AppSOC brings it all together in one intuitive dashboard – helping me prioritize vulnerabilities and ensure compliance.

Customer Spotlight

Why Customers Love AppSoc

Ready to get started?

Our expert team can assess your needs, show you a live demo, and recommend a solution that will save you time and money.

Learn more about AI security

Find content, demos, case studies, guides, blogs, and more in our extensive library