AI Firewall
Mitigating AI risks with visibility and control of AI usage
AI Firewall for Governance
Compliance
Maintain compliance with regulations such as the EU AI Act NIST AI RMF
AI Monitoring
Auditing, mapping, and measuring your AI usage.
Advanced Risk Rules
Use natural language to set rules defining AI usage in your company
Business safeguarding
Protect against negative business outcomes due to using AI.
Rule-based Enforcement
Implement predefined rules using company policies to mitigate AI risks.Data classification
Classify user input data for risk management.Data sensitivity
Identify and manage sensitive data such as PII and HIPPA.
Data Protection
Prevent sensitive data from being exposed.
Input validation
Handle prompt injection and other external threats.
MOWASP LLM Top 10
Address LLM threats such as LLM01 Prompt injection, LLM02 insecure Output Handling, LLM06: Sensitive Information Disclosure.Responsible AI by Safeguard and Monitoring Risks
Use Cases
In-house or third-party AI applications used internally
Internal users using Public Generative AI services like ChatGPT, Gemini, MS Copilot, cloud application
External users using the company’s AI services, such as Chatbots