Secure AI
Testing Environment
An isolated sandbox environment for safely testing AI models and proactively discovering security vulnerabilities.
Architecture
Safe AI Testing in
Isolated Sandbox
Multi-layer security validates inputs, executes AI models in isolated environments, and verifies outputs to deliver only safe responses. Malicious prompts and dangerous outputs are automatically blocked.
Security Pipeline
Security Processing Pipeline
A 6-stage security verification pipeline from input to output ensures safe execution of AI models.
Security Layers
Complete Protection with
Multi-Layer Security
Input Filter
Sensitive data masking, input validation
Prompt Validation
Injection detection, jailbreak blocking
Isolated Execution
Sandbox environment, resource limits
Output Inspection
Result verification, sensitive data detection
Audit Logging
Full history recording, analysis
Risk Assessment
Comprehensive scoring, reporting
Features
Key Features
Secure Isolated Environment
Safely test AI models in container-based fully isolated environments.
Network isolation, resource limits, time limits applied
Prompt Security
Detect and block malicious prompt injection attacks.
Jailbreak attempts, system prompt leak prevention
Output Monitoring
Monitor AI model outputs in real-time and filter dangerous content.
Sensitive data leak detection, inappropriate content blocking
Vulnerability Scanning
Automatically scan and report AI model security vulnerabilities.
OWASP LLM Top 10 based vulnerability checks
Red Team Testing
Verify AI model security limits with automated red team testing.
Automated execution of various attack scenarios
Compliance Verification
Perform security verification for AI regulations and corporate policy compliance.
EU AI Act, domestic AI regulation compliance
Use Cases
All AI Security Needs
Pre-Verification
Solve all AI security requirements including LLM security testing, prompt verification, pre-deployment checks, and compliance in AI Sandbox.
LLM Security Testing
Proactively discover security vulnerabilities in large language models and derive security enhancement measures.
Prompt Engineering Verification
Provide a testing environment for safe prompt design and verify security.
Pre-Deployment Verification
Check security vulnerabilities before AI service launch and ensure safe deployment.
Compliance Verification
Verify security requirements for AI regulations (EU AI Act, etc.) and secure evidence.
Integration
Development Environment Integration
Easily integrate with CI/CD pipelines and development tools to naturally include security testing in your development process.
CI/CD Integration
Perform automated testing with GitHub Actions, Jenkins integration.
API Support
Integrate with various tools via REST API.
Dashboard
View test results and security status at a glance.
Report Generation
Automatically generate detailed security analysis reports.
Need AI Security
Testing?
Verify your AI model security with KYRA AI Sandbox.