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Gray Swan

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Protects AI endpoints with input/output filtering and monitoring, ensuring security and policy adherence.

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Agents Security AI Detection

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

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