Enterprise LLM
Security Guardrail
A multi-layer guardrail that validates every prompt and response in real time, so enterprises can adopt LLMs without leaking sensitive data.
Architecture
Multi-Layer Guardrail for
Safe LLM Adoption
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
Guardrail environment, resource limits
Output Inspection
Result verification, sensitive data detection
Audit Logging
Full history recording, analysis
Risk Assessment
Comprehensive scoring, reporting
Features
Key Features
Isolated Execution
Relays and executes LLM requests safely inside a container-based isolated environment.
Network isolation, resource limits, access control
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
Data Masking
Automatically detects and masks sensitive data such as PII and secrets before it reaches the LLM.
Pattern- and regex-based detection with response restoration
Multi-Model Support
Connects GPT, Claude, Gemini and other LLMs securely through a single guardrail.
Apply security policy across every model at once
Compliance
Provides audit logs and access control for AI regulations and corporate policy.
EU AI Act and domestic AI regulation ready
Use Cases
Safe LLM Adoption,
End-to-End Protection
Sensitive-data masking, prompt filtering, response validation, and audit logging — AI Guardrail covers every security requirement of enterprise LLM adoption.
Enterprise LLM Rollout
Adopt LLMs for internal chatbots and workflow automation while blocking sensitive-data leakage at the source.
Sensitive-Data Protection
Automatically masks PII and secrets in prompts and responses to prevent data exposure.
AI Regulatory Compliance
Secures the audit logs and access controls needed for EU AI Act and similar regulations.
Compliance Assurance
Records and audits every conversation securely to demonstrate regulatory compliance.
Integration
Fits Your Existing Stack
Drops in front of your existing LLM applications and API gateways to protect traffic in real time.
Gateway Integration
Deploys as a proxy in front of your existing LLM call path and inspects all traffic.
API Support
Integrate with various tools via REST API.
Dashboard
See real-time security posture and audit logs at a glance.
Report Generation
Automatically generate detailed security analysis reports.
Need Safe
LLM Adoption?
Adopt enterprise AI without sensitive-data leakage with KYRA AI Guardrail.