The world's first firewall built for modern AI architectures
Comprehensive protection for RAG, Agentic AI, MCP, Diffusion Models, and Multi-Modal systems. Stop attacks that traditional firewalls can't detect.
Traditional firewalls don't understand AI. We do.
Detect malicious prompts trying to jailbreak your AI. Real-time analysis of user inputs with pattern matching and ML-based detection.
Block attempts to poison your training data or fine-tuning processes. Validate inputs against known attack signatures.
Prevent AI models from leaking sensitive data through outputs. PII detection, regex filters, and semantic analysis.
Intelligent rate limiting specific to AI workloads. Block token-flooding attacks and API abuse.
Dashboard showing attack patterns, blocked requests, and model behavior. Alert on anomalies.
Drop-in replacement for OpenAI API. Works with LangChain, LlamaIndex, and custom implementations.
Comprehensive security for RAG, Agentic AI, MCP, Diffusion Models, and beyond
Model Context Protocol protection for multi-agent systems
End-to-end security for Retrieval-Augmented Generation
Secure autonomous agents with chain-of-thought protection
Protect image/video generation systems from adversarial inputs
Cross-modality attack detection for vision-language models
Protect against model & data supply chain attacks
Continuously updated threat database with latest jailbreak attempts, prompt injection patterns, and adversarial techniques. Zero-day attack detection using behavioral analysis and anomaly scoring.
Edge-deployed filtering with P95 latency under 0.8ms. Optimized inference pipeline using ONNX Runtime and TensorRT. No impact on user experience.
Drop-in support for LangChain, LlamaIndex, Haystack, AutoGen, CrewAI, and custom frameworks. Compatible with OpenAI, Anthropic, Cohere, and open-source models.
Context-aware security policies that adapt to user roles, data sensitivity, and threat levels. Policy-as-code with versioning and rollback capabilities.
SOC 2 Type II, ISO 27001, GDPR, and HIPAA compliant. Complete audit trails with cryptographic signing. Automated compliance reporting for regulatory requirements.
Train custom classifiers on your specific threat landscape. Fine-tune detection models with your data. Support for RLHF-based safety alignment.
# Install ArtGlobal Firewall for AI
pip install artglobal-firewall
# Protect your LangChain application
from langchain import ChatOpenAI
from artglobal import FirewallClient
# Initialize firewall
firewall = FirewallClient(
api_key="your-api-key",
policies=["block-jailbreaks", "pii-redaction", "rag-validation"]
)
# Wrap your LLM with protection
llm = ChatOpenAI(model="gpt-4")
protected_llm = firewall.protect(llm)
# Use normally - attacks are automatically blocked
response = protected_llm.invoke("User input here")
# Malicious prompts, injections, and data leaks are preventedAlso available as: