Deka GPU Documentations
  • Starter Guide
    • Introduction
    • Sign Up
    • Choose a Package
    • Top Up
    • Create a Virtual Machine
    • Download kubeconfig
    • Create a Deka LLM
    • Create a Deka Notebook
    • Conclusion
  • Service Portal
    • Introduction
    • Sign Up
    • Sign In
    • Sign Out
    • Forgot Password
    • Account Setting
      • Using MFA Google Authenticator
      • Using MFA Microsoft Authenticator
    • Project
      • Add Project
      • Delete Project
    • List Roles
    • Broadcast
    • Audit Log
    • Voucher
    • Security
      • AI Security AI Infrastructure Layer
      • AI Security AI Application Layer
    • Ticket
      • Create Ticket
      • Detail Ticket
    • Billing
      • Daily Cost Estimated
      • Monthly Cost
      • Invoice
      • Summary Monthly
    • Balance
      • Project Type: SME
        • GPU Merdeka
        • Choose Package
        • Top-Up
      • Project Type: Enterprise
      • History Balance
        • Balance
        • Transaction
      • Custom Resource Definition
  • Deka GPU
    • Deka GPU: Kubernetes
      • Introduction
      • GPU Type
      • Dashboard
        • Check Status Kubernetes
        • Download Kube Config
        • Access Console
      • Workloads
        • Pods
          • Create New Pod
          • Access Console
          • Configuration Pod
          • Delete Pod
          • How to Create a New Pod use CLI
        • Deployments
          • Create New Deployment
          • Configuring Deployment
          • Delete of a Deployment
          • How to Create a New Deployment use CLI
        • DaemonSets
          • Create a New DaemonSet
          • Configuring a DaemonSet
          • Delete DaemonSet
      • Services
      • Storages
        • Storage Class
        • Persistent Volume Claims
          • Create a New Persistent Volume Claim
          • How to Create a New Persistent Volume Claim use CLI
    • Deka GPU: VMs
      • Operating System
      • GPU Type
      • Machine Type
      • Namespace Type
      • Storage Class
      • How to Create a Virtual Machine on Service Portal
      • How to Manually Create a Virtual Machine
        • Download Kube Config
        • Running Kube Config
        • Configuration file dv.yaml
        • Configuration file vm.yaml
        • Configuration file svc.yaml
      • Feature Overview of Virtual Machine
        • Detail a Virtual Machine
        • Open Console
        • Turn Off a VM Instance
        • Turn On a VM Instance
        • Restart a Virtual Machine
        • How to Access Console
        • Show YAML File
      • Delete a Virtual Machine
    • Deka GPU: Registry
      • Create Registry
      • Quota
      • Detail Registry
        • Summary
        • Repository
        • Logs
        • Labels
        • Tag Immutability
        • Member
        • Resize Storage Registry
      • Delete Registry
    • Deka GPU: Security
      • Deka Guard
        • Introduction
        • Create Guard to Deny All Ingress
        • Create Guard to Allow Ingress
        • Create Guard to Allow Ingress with port
        • Create Guard to Allow Ingress with IP/CIDR
        • Create Guard to Deny All Egress
        • Create Guard to Allow Egress
        • Create guard to Allow Egress with Port
        • Create Guard to Allow Egress with IP/CIDR
    • Deka GPU: Service
      • Ingress
        • Install Ingress nginx
        • Install Cert Manager
        • Create Cluster Issuer
        • Create Ingress with TLS
    • Deka GPU: Autoscaling
      • Basic Autoscaling
    • Deka GPU: Network
      • Deka VPC
    • Deka GPU: MLOps
      • Introduction
      • Notebook
      • Tensorboards
      • Volumes
      • Endpoints
        • Create Endpoint
        • Delete Endpoint
      • Experiments (AutoML)
        • Create Experiments (AutoML)
        • Create Experiments (AutoML) using Python SDK
        • Get Experiments Results
      • Experiments (KFP)
        • Create Experiment
      • Pipelines
      • Runs
        • Create Run
        • Delete Active Run
      • Recurring Runs
        • Create Recurring Run
        • Delete Recurring Runs
        • Home
      • Artifacts
      • Executions
      • Manage Contributors
  • Deka LLM
    • Introduction
    • Check Project Type
    • Create a New LLM
    • Detail Deka LLM
      • Overview Tab
      • Keys Tab
        • Create a New Key
        • Detail a Key
        • Edit a Key
        • Get a Secret Key
        • Delete a Key
      • Usage Tab
      • Top Up Coin
    • API Deka LLM
      • Model Management
      • Completions
      • Embedding
    • Delete Deka LLM
    • How to Create Simple Prompt with Deka LLM
      • Create Deka LLM
      • Get URL API Deka LLM
      • Get Secret Key
      • Access API Deka LLM using Postman
      • Get Model
      • Post Chat Completions
  • Deka Notebook
    • Introduction
    • Namespace Type
    • Create a New Notebook
    • Detail Deka Notebook
      • Configuration Deka Notebook
      • Start Deka Notebook Service
      • Stop Deka Notebook Service
      • Get Token
      • Login Deka Notebook
      • Logout Deka Notebook
    • Delete Deka Notebook
  • Reference
    • How to use kubeconfig on Linux
    • How to use kubeconfig on Windows
    • Kubernetes Commands for Enhancing Security
    • How to add GPU in Kubernetes
    • How to Add GPU in VM
      • Download kubeconfig
      • Install kubectl
      • Add GPU
      • Install Driver NVIDIA
    • RAPIDS
      • How to Setup RAPIDS
      • How to make Custom Image
    • How to push image with Docker
    • Deployment LLaMA 3.1 70B with VLLM on Kubernetes
      • Getting the Hugging Face API Key
      • Requesting Access to the LLaMA Model
      • Connect Kubernetes on Computer
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Secret for Hugging Face Token
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the LLaMA Service
      • Troubleshooting
    • How to Get an API Key on NGC
    • Deployment LLM with Deka GPU + NIM
    • Deployment Deepseek R1 70B with VLLM on Deka GPU's Kubernetes
      • Prerequisites
      • Create Namespace
      • Create PersistentVolumeClaim (PVC)
      • Create Deployment
      • Create Service
      • Verify Deployment
      • Accessing the Deepsek Service
      • Troubleshooting
    • How to Upload and Download on FTP Web
  • Troubleshooting
    • Reinstall Driver NVIDIA on Linux
    • NVIDIA Driver Not Detected After Upgrade Kernel
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  2. Security

AI Security AI Application Layer

Artificial Intelligence Security on Artificial Intelligence Application Layer is security applied specifically to the application layer of an artificial intelligence system

  1. SQURA SecureAI

SQURA SecureAI is a security solution that protects AI-based systems during execution or runtime. In general, this name refers to a set of tools and technologies that ensure that AI models and the applications that run them are safe from threats, such as code injection attacks or data poisoning, that can occur during model operationalization. This technology monitors and protects AI processes in real-time, automatically detects and responds to threats, and maintains the integrity of AI models to keep them secure and functioning as intended.

  1. SQURA AdoptAI

SQURA AdoptAI is a security solution that supports the safe adoption of Generative AI (GenAI) applications in every customer's business process. This reduces the risk of leaking sensitive corporate data when using GenAI applications to make daily work easier, as well as enabling detailed access control and data management. A simple example is using GenAI to help create an enterprise GenAI. Another example is using GenAI to help take meeting notes (MoM) during a meeting.

Overall, AI Security pada AI Application Layer focuses on protecting AI applications from various threats that can affect the reliability, security and integrity of the results produced. This includes everything from protecting user data to ensuring that AI models remain safe from external manipulation and attacks. Strong security at this layer is critical to maintaining user trust and minimizing the risks associated with deploying AI in a variety of business and industrial applications.

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