Aguru Safeguard
Ensure secure and reliable performance of enterprise AI applications
Overview
Aguru Safeguard is an on-premises monitoring solution for businesses using large language models (LLMs). It automatically detects security risks, performance issues, and unwanted behaviors in AI applications. Maintains data privacy by operating locally within your infrastructure. Provides real-time alerts and actionable insights to prevent system failures and security breaches.
Key Features
Response monitoring
Track LLM output consistency against gold standards
Hallucination detection
Identify false AI responses with customizable settings
Security alerts
Instant notifications for prompt injections and data leaks
Performance safeguards
Prevent system overload with request rate limits
Zero-code integration
Monitor LLMs without modifying application code
Use Cases
Secure enterprise AI deployments
Detect LLM hallucinations in real-time
Prevent AI system overloads
Block sensitive data leaks
Test AI behavior in safe playground
Pros & Cons
Pros
- 100% on-premises data confidentiality
- Comprehensive behavior monitoring across LLM providers
- Real-time alerts integrate with Splunk/DataDog
- No application code changes required
Cons
- Requires reverse proxy infrastructure setup
- Primarily targets enterprise-scale users
- Limited documentation shown for non-security features
Frequently Asked Questions
How does Aguru Safeguard handle data privacy?
Operates fully on-premises with no external data transmission
What infrastructure is required for setup?
Requires configuring a reverse proxy for LLM traffic routing
Can I test detection capabilities before full deployment?
Yes, includes a playground environment for prompt experimentation
Integrations
Reviews for Aguru Safeguard
Alternatives of Aguru Safeguard
Secure and optimize enterprise AI development with unified management
Secure AI applications with real-time monitoring and policy enforcement
