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.
Data taxonomy
Identify Usage -What is the activity (what is the actor doing/action performed ) and Topics -what the activity is about.
AI Risk Management
Identifying and mitigating potential risks associated with misuse and hallucinations of AI.
AI Governance policies
Enforce usage policies per group/user to ensure responsible AI usage.
Shadow AI
Understand what your users are using AI for.
AI Firewall for security
Rule-based Enforcement
Implement predefined rules using company policies to mitigate AI risks.
Data Protection
Prevent sensitive data from being exposed.
Data classification
Classify user input data for risk management.
Input validation
Handle prompt injection and other external threats.
Data sensitivity
Identify and manage sensitive data such as PII and HIPPA.
OWASP LLM Top 10
Address LLM threats such as LLM01 Prompt injection, LLM02 insecure Output Handling, LLM06: Sensitive Information Disclosure.
Firewall Modules
AI Firewall for Risk Management and Prevention
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
