What types of AI threats does aiFWall address?
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aiFWall addresses multiple threat categories: Malicious Data Insertion including jailbreak attempts and prompt injections; Behavioral Threats like model drift; Input/Output Risks such as PII leakage; malicious document uploads including QR codes; LLM API Misuse/Abuse; access violations; and compliance breaches for GDPR, CCPA, and HIPAA.
How does aiFWall handle malicious document uploads?
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aiFWall detects and blocks dangerous uploads across Word, Excel, PowerPoint, images, QR codes, and PDFs with optional virus scanning integration. Documents are analyzed in real-time before they reach your AI systems.
What is the scope of aiFWall's protection?
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aiFWall protects business agents, third-party agents, LLMs, and MCP servers across your entire AI deployment. The distributed architecture ensures consistent protection across all access points and data sources.
What visibility and control do administrators have?
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aiFWall delivers detailed event logging, administrator feedback capabilities, and configurable enforcement through the centralized aiF-Central platform. Administrators can configure policies, review alerts, and retain manual intervention authority.
Does aiFWall offer both detection and prevention?
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Yes. aiFWall offers both detection mode (logging and alerting) and prevention mode (active blocking). Administrators can configure the enforcement level based on their security requirements and risk tolerance.
How does aiFWall protect against prompt injection attacks?
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aiFWall uses multi-dimensional contextual analysis to detect prompt injection attempts. It analyzes request-response flows, correlates patterns with business context, and identifies manipulation attempts that traditional linear processing would miss.
Can aiFWall detect data leakage in LLM outputs?
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Yes. Unlike input-only solutions, aiFWall performs contextual output analysis correlated with input prompts to detect data leakage, PII exposure, and other output risks. This bi-directional analysis is critical for comprehensive AI security.
How is aiFWall tested and validated?
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Validation uses custom test suites plus industry-standard BURP and Garak benchmarking tools. The system supports business-specific training, staging deployment, and user feedback loops to ensure accuracy in your specific environment.
What is the detection accuracy?
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aiFWall reports 85-90% detection accuracy with variance based on enterprise use cases. The self-learning engines continuously improve accuracy based on your specific deployment patterns and business context.
How does aiFWall compare to traditional security methods?
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aiFWall outperforms traditional methods in both coverage and throughput. The contextual, multi-dimensional analysis provides superior detection compared to linear, input-only approaches. Line-speed processing ensures zero latency impact on your AI applications.
What integration methods are available?
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aiFWall offers three integration paths: REST API for direct code integration, Reverse Proxy deployment for zero-code-change protection, and WAF Integration to enhance your existing Web Application Firewall.
Is aiFWall compatible with my SIEM?
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Yes, aiFWall logs all detections in standard SYSLOG format, compatible with any SIEM for ingestion. This allows seamless integration with your existing security monitoring infrastructure.
Which cloud platforms are supported?
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aiFWall provides pre-configured VM images for AWS, Azure, and GCP. Images are available in major regions for rapid deployment in your preferred cloud environment.
What support is available?
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Comprehensive documentation, in-console help, and training guides are included. Standard support includes 24x5 email support with 48-hour response time. Premium support packages are available for mission-critical deployments.
How does aiFWall handle data privacy?
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aiFWall implements privacy-by-design with in-memory processing. Data is analyzed in real-time without persistent storage, ensuring your sensitive information remains protected throughout the security analysis process.
Which compliance frameworks are supported?
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aiFWall supports GDPR, CCPA, and HIPAA compliance with configurable policies. The system automatically enforces compliance rules and provides detailed audit logging for regulatory requirements.
What is the system architecture?
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aiFWall uses a distributed, modular architecture designed for horizontal scalability. Self-learning components improve detection over time, while shared threat intelligence via aiF-Central provides global zero-day protection.
What is aiFWall's product roadmap?
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The roadmap focuses on continuous threat intelligence expansion, adaptive modules for multimodal AI, collaborative intelligence across deployments, and alignment with emerging regulatory requirements. All updates are included in maintenance.
What does aiFWall cost?
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aiFWall offers a free annual license (year 1) for single-instance deployment with 24x5 email support. After the first year, maintenance begins at $9,999 per instance annually. Optional premium support packages are available for enhanced SLAs.
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