Overview
Cygnal is a powerful AI safety layer designed to protect AI endpoints through advanced input filtering, output filtering, and continuous monitoring. It ensures security and adherence to policies without compromising performance.
Key Features:
- Best-in-class security and robustness
- Uncompromising performance
- On-premise deployment and universally compatible API
Use Cases:
- Securing AI models from adversarial threats
- Enhancing safety and control over deployed AI systems
- Protecting AI-powered applications in enterprise environments
Benefits:
- Improved security against AI-specific threats and exploits
- Enhanced control over AI model behavior and outputs
- Protection of reputation and compliance through robust AI safeguarding
Capabilities
- Implements AI Model Input Filtering
- Executes AI Model Output Filtering
- Provides Continuous AI Model Monitoring
- Applies Bi-Directional Security to AI-Powered Applications
- Blocks Malicious Inputs to AI Models
- Filters Harmful Outputs from AI Models
- Minimizes Integration Effort for AI Security Solutions
- Reduces Latency in AI Security Processes
- Tolerates Variations to Prevent Over-Blocking
- Achieves a 99.98% Attack Block Rate
- Secures AI Filters
- Identifies and Neutralizes Threats to AI Systems
- Prevents Prompt Injections
- Mitigates Adversarial Inputs
- Controls Harmful Content Generation
- Prevents Sensitive Information Extraction
- Conducts Comprehensive AI Security and Safety Evaluations
- Integrates Adversarial AI Research
- Provides Insights into AI Deployment Behavior Under Worst-Case Conditions
- Leverages Meta Llama3-8B for Language Model Development
- Enhances Language Model Safety and Security
Add your comments