CoSupport AI
What is Aguru Safeguard?
Aguru Safeguard is a sophisticated on-premises software designed to provide comprehensive monitoring and security for Large Language Model (LLM) applications. The platform offers real-time insights into LLM behavior, performance metrics, and potential security threats, enabling organizations to maintain optimal AI operations.
The solution stands out with its ability to monitor response drift, detect hallucinations, prevent toxic content, and safeguard against security vulnerabilities like prompt injection and sensitive information disclosure. With features like system availability monitoring and model denial of service protection, Aguru Safeguard ensures reliable and secure LLM operations while maintaining 100% data confidentiality.
Features
- Response Drift Monitoring: Tracks LLM output changes against gold standards using semantic similarity
- Hallucination Detection: Automatically identifies false LLM responses with customizable settings
- Security Protection: Prevents prompt injection and sensitive information disclosure
- Real-time Alerts: Immediate notifications for anomalies with syslog integration
- On-premises Deployment: 100% data confidentiality guarantee
- Model Performance Monitoring: Tracks system availability and prevents denial of service
- Toxic Content Filter: Automatically scans and removes inappropriate responses
- Sentiment Analysis: Monitors response tone and alerts for negative sentiment
Use Cases
- LLM application security monitoring
- AI response quality assurance
- Security compliance management
- Performance optimization
- Data privacy protection
- System reliability monitoring
- Content moderation automation
- Risk management for AI applications
FAQs
-
How is data privacy maintained in Aguru Safeguard?
Aguru Safeguard is deployed on-premises, ensuring that all data remains within your infrastructure and maintaining 100% data confidentiality. -
What types of alerts does the system provide?
The system provides immediate alerts for anomalies, which are logged to syslog and can be forwarded to preferred alerting systems like Splunk or DataDog. -
Does implementing Aguru Safeguard require code changes?
No, the setup process does not require modifications to your application code, ensuring a risk-free configuration through infrastructure routing.
Related Queries
Helpful for people in the following professions
Aguru Safeguard Uptime Monitor
Average Uptime
100%
Average Response Time
94.03 ms
Featured Tools
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
