The solution provides protection against native AI threats, offering built-in management and detailed visibility of all processes. By enforcing custom policies, businesses can safely integrate artificial intelligence into their operational cycles.
Intelligent protection for the future
A reliable shield for language models and AI services
Key benefits
Scalability, implementation, countering native AI threats, visibility, and access control
Security specifically designed for the artificial intelligence era
The system offers runtime protection (guardrails), easy deployment and management through natural language. You get out-of-the-box threat protection, allowing for innovation without risking corporate data.
Confident AI development at any scale
The solution works as a Kubernetes-native application and can be deployed on-premises or in the cloud, automatically scaling thanks to GPU acceleration. This allows for the analysis of long contexts and large prompts from AI agents or RAG workflows, ensuring continuous protection without loss of performance.
Maximum detection accuracy with minimal errors
The dual-layer inspection mechanism analyzes not only patterns but also user intent. This allows real-time detection of threats from the OWASP Top 10 LLM list and identification of several types of risks within a single request.
Complete overview of AI interactions and transparent management
Gain full visibility into AI interactions with detailed audit reports and enforce policies based on the user, application, or risk level. Enhance governance with insights that align with OWASP, NIST, and MITRE frameworks.
How it works
Deep prompt inspection
Protection of AI applications against a new class of threats
At the core of the A10 AI Firewall is a proprietary security model that checks each request and response for context and intent. With continuous updates through red-teaming, the system stays ahead of zero-day attacks and prompt injection attempts, providing real-time protection.
Granular control for safe and compliant interaction
Protect your AI services from internal policy violations by configuring detailed policies in plain language. This allows you to tailor the system to specific use cases, user requirements, and compliance standards.
Real-time transparency in AI interactions
The system records and classifies threats with a full explanation of the logic chain. Your security teams will always know exactly what was blocked, why, and which security standard was violated.
Key capabilities and architecture of the A10 AI Firewall platform
Technological excellence with seamless integration into your tech stack
A10 AI Firewall offers cloud deployment in Kubernetes, allowing it to operate in existing clusters. With a parallel architecture, latency is less than 100ms, even when processing large loads. Key features include:
- Monitoring and blocking of AI traffic (incoming prompts and outgoing responses).
- Protection against leakage of confidential information and harmful content.
- GPU-oriented architecture for handling large contexts.
Unlike traditional WAFs, which use rules and patterns, the AI Firewall understands natural language. It integrates into the orchestration layer, protecting applications built on foundational AI models. This is critical for organizations implementing LLMs and AI copilots, as traditional security tools cannot analyze non-deterministic multi-step interactions. The solution effectively prevents data exfiltration and model abuse.
Security of AI applications and LLM systems
Protection against manipulation, data leaks, and model abuse
As organizations actively implement AI, the attack surface expands beyond the traditional network infrastructure – threats now exist at the semantic level. Statistics confirm the critical nature of the issue: 49% of enterprises consider security the main barrier to AI adoption, 57% of SOC analysts claim that traditional tools are ineffective against AI attacks, and 73% of systems have vulnerabilities to prompt injection.
A10 AI Firewall fills this gap by offering a multi-layered solution: from input validation to output filtering. You get scalable Guardrails with low latency that support a large context and ensure compliance with OWASP LLM Top 10 requirements and corporate standards.
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