with real-time protection, policy enforcement, and audit-ready compliance.
Continuously analyze prompt inputs and model responses to detect prompt injection, abuse, and suspicious activity as it happens.
Automatically enforce your organization's AI policies with flexible, customizable rule sets—no manual intervention required.
Track every AI interaction with full transparency. Our audit-ready logs make it easy to review behavior, ensure accountability, and stay compliant.
Secure every LLM interaction with encryption, session controls, and user-level monitoring—without sacrificing speed.
Wrap any LLM agent, LangChain chain, or API with a single line of code. Instant compatibility with your stack.
Deploy with our expert team and get access to 24/7 AI security monitoring and operational guidance.
Choose the environment where you're using AI so we can highlight the biggest risks.
PROBLEM
SOLUTION
Inline enforcement. Invisible protection. Audit-ready intelligence.
Real-time regex + ML on input
Prevent hallucinations, abuse, leakage
Full visibility of every interaction
Audit-ready, real-time visibility
Monitor and protect LLM-powered applications by analyzing input/output traffic in real-time—whether hosted in the cloud or deployed on-prem.
Comprehensive protection across your entire LLM stack
Tracks all inputs/outputs, metadata, tokens, and agent context with real-time analysis.
Regex and ML rules applied on inputs/outputs with dynamic risk scoring and instant blocking.
Query logs, filter by threat level, integrate with SIEM tools for compliance readiness.
Deployed inline with agents—captures context no proxy ever can with zero latency impact.
Use in SaaS or on-prem (K8s/Docker). Fully air-gap ready with enterprise security.
Detects unusual prompt or response patterns over time using AI behavior modeling. Flags subtle risks missed by rule-based systems.
Control which teams or roles can view logs, manage policies, or access specific agents. Built-in multi-tenant and team separation.
Quick-start policy enforcement with prebuilt rule packs for LLM misuse, prompt injection, abuse, and PII detection.
Works with open-source models like Mistral, Llama 2, and private on-prem deployments—no vendor lock-in.
Replay past LLM interactions to simulate policy outcomes before deployment. Perfect for testing and tuning rules.
Prevents bypass attempts by normalizing encodings, escaping tricks, and unicode obfuscations before policy checks.
Send real-time alerts, threat events, or log streams to Slack, Splunk, Elastic, or your preferred SIEM via webhook.
Detects AI-generated content that may be factually incorrect or made-up, especially when used in regulated settings.
How does 4Node integrates with your LLM stack
Wrap your LLM calls with our lightweight SDK
ML models analyze inputs/outputs instantly
Block threats and log interactions
Monitor and audit through our interface
Works with your existing LLM infrastructure
Deep integration beats surface-level monitoring
4Node uses a Python SDK instead of a proxy so it can capture the real logic AI agents use—tool calls, thought chains, RAG workflows—not just the raw HTTP data.
POLICY ENGINE
The 4node Policy Engine lets you define and enforce rules on every LLM interaction—without changing your application code. Prevent prompt injections, data leakage, and abuse with flexible rule sets powered by regex and AI.
LIVE DASHBOARD
See exactly what your students are doing with AI tools. Monitor conversations, enforce policies, and get instant alerts—all from one powerful dashboard.
