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CalypsoAI Guardrails

AI AppsAI Cybersecurity ToolsMonitoring AI models#87Contact sales · AWS, Azure, Google Cloud

CalypsoAI Guardrails provides secure frameworks to protect AI applications from threats. It ensures compliance and prevents harmful outputs, offering robust security for enterprise AI systems.

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CalypsoAI Guardrails screenshot
CalypsoAI Guardrails screenshot

CalypsoAI Guardrails is a comprehensive solution designed to secure AI applications against emerging threats. It provides frameworks of policies, technologies, and controls to ensure AI systems operate securely and responsibly. The tool mitigates risks such as adversarial attacks, data leakage, and compliance failures. It offers content moderation filters and custom policy controls to inspect model outputs, preventing LLM hallucinations and toxic content. CalypsoAI Guardrails includes out-of-the-box policy controls aligned with global data compliance standards like PCI, PHI, and the EU AI Act. It logs enforcement actions with transparent reasoning, simplifying reporting for compliance teams. Unlike model provider guardrails, which offer baseline protection, CalypsoAI Guardrails extends protections to all enterprise use cases. It provides enterprise-grade capabilities, including threat research and regular updates against emerging attack techniques. The tool secures AI models and agents against malicious threats, data leakage, and harmful outputs with unmatched deployment flexibility. It offers model-agnostic policy enforcement, securing millions of public and proprietary models with consistent privacy and security. Custom policy creation is facilitated through an intuitive natural language interface, allowing rapid development of bespoke security controls. CalypsoAI Guardrails ensures continuous visibility and traceability across all models, users, and agent interactions, with audit-ready logging and a performance dashboard for monitoring metrics and trends.

  • CategoryAI Cybersecurity Tools
  • Pricing ModelContact sales
  • DeploymentCloud
  • PlatformsAWS, Azure, Google Cloud

  • Content moderation filters

  • Custom policy controls

  • Out-of-the-box compliance controls

  • Model-agnostic policy enforcement

  • Custom policy creation

  • Audit-ready logging

  • Performance dashboard

  • Threat-informed protection

  • Secure AI agents

  • Semantic data security

  • Private AI deployment

  • Agent visibility

  • CASI Model Risk Leaderboard

  • Deployment in public and private clouds

  • Technology alliances

  1. Configure: Set up custom policy controls

  2. Use: Deploy guardrails to secure AI models

  3. Optimise: Monitor performance and adjust policies

  4. Secure: Apply content moderation filters

  • AI Compliance
  • Content Moderation
  • Data Security
  • Threat Protection
  • Policy Enforcement

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