A10 AI Firewall
Guardrail solution to protect LLMs and AI applications from AI‑native threats,
Key Benefits of A10 AI Firewall
Security designed for AI, delivering runtime guardrails, effortless deployment, natural-language governance, and out‑of‑the‑box threat protection
Adopt & Scale AI with Confidence
Deploy as a Kubernetes-native solution, on-premises or in the cloud, scaling automatically with GPU acceleration. Inspect large prompts from AI agents or RAG workflows with long-context support, while ensuring continuous protection
Protect Against AI-native Threats
Achieve high detection accuracy with minimal false positives using a dual-layer inspection engineer that analyzes both pattern and intent. Detect OWASP Top 10 LLM threats in real time and identify multiple risks within a single prompt
Observability & Access Control
Gain full visibility into AI interactions with detailed audit trails, enforce policies by users, applications, or risk level, and strengthen governance with insights mapped to OWASP, NIST, and MITRE frameworks
How It Works
Deep Prompt Inspection
Defend AI applications against a new class of threats
A10 AI Firewall has a proprietary reasoning safety model at its core that inspects every prompt and response for intent and context, not just known patterns. Continuously updated through red-teaming, it stays ahead of AI-native threats and zero-day attacks, delivering real-time protection against sophisticated threats like prompt injection without impacting performance.
Custom Policy Engine
Granular control for secure and compliant AI interactions
Protect your AI-enabled applications against policy violations by enforcing granular policies tailored to your use case, user requirements, and compliance needs, all configured in natural language.
Governance, Risk, and Compliance
Ensure compliance with real-time visibility into AI interactions
Gain real-time visibility into every AI interaction across your environment. A10 AI Firewall logs and classifies threats with full reasoning chain explainability, mapping detections directly to OWASP, NIST, and MITRE frameworks, so your security teams always know what was blocked, why, and what standard it violated.
Key Features
Cloud-native Kubernetes Deployment
Run anywhere with Kubernetes-native deployment, integrating directly with your existing clusters across on-premises and public cloud environments
Granular Policy Control
Reduce risk and enforce compliance with customizable policies in natural language that provide granular control over AI interactions across users, groups, and applications
Real-time Visibility
Gain real-time visibility into AI interactions with dashboards that provide insights for faster threat detection and assessment
AI Traffic Monitoring & Blocking
Out-of-the-box inspection of inbound prompts and outbound responses enables real-time detection and blocking of AI-native threats, including prompt injection, sensitive information disclosure, and unsafe outputs
Robust Threat Detection
Detect and block evolving AI-native threats in real time with a dual-layer inspection engine that analyzes both patterns and intent, delivering high accuracy with minimum false positives
Exceptionally Low Latency, at Scale
Optimized parallel stream architecture enables real-time inspection of AI traffic with latency <100 ms, analyzing outputs alongside the user stream and intervening only when necessary. Scales with elastic GPU acceleration to handle varying workloads
A10 AI Firewall Platform Architecture
A10 AI Firewall integrates natively into your AI stack, delivering out-of-the-box protection against AI-native threats, zero-day attacks, and policy violations powered by a deep prompt inspection model built for high accuracy and exceptionally low latency, without impacting performance.
Frequently Asked Questions
Don’t see your question listed? Contact a product expert to get answers.
A10 AI Firewall can be deployed in the public cloud or on-premises as a Kubernetes pod. It seamlessly integrates with your existing network infrastructure, out-of-the-box.
A10 AI Firewall secures AI-enabled applications by protecting the orchestration layer they rely on. Deployed as a cloud-native Kubernetes insertion, it sits within the orchestration platform to safeguard applications built on foundational AI models.
A traditional WAF inspects traffic using rules and pattern matching to detect known threats. An AI firewall is designed and built for AI-enabled applications, analyzing natural language to understand intent and context. It secures non-deterministic, multi-step AI interactions, protecting against AI-native threats in real time, which traditional security tools cannot do.
An AI firewall protects AI applications and large language models from prompt injection attacks, system prompt leakage, data exfiltration, model abuse, and adversarial inputs. It inspects both prompts and responses in real time to block unsafe or malicious interactions.
As organizations deploy LLMs and AI copilots, AI firewalls provide a security layer that prevents prompt injection, data exfiltration, and abuse of AI systems.
Yes. AI firewalls are designed to secure LLMs and other AI applications by monitoring inputs and outputs, preventing prompt injection, blocking sensitive data exposure, and enforcing security policies across AI workflows.
Additional Resources
Take a Product Tour
Are your AI Inference and GenAI Environments Secure? These Five Essentials Will Help
Read the Blog