The First Generative Application Firewall (GAF)The First Generative Application Firewall (GAF)
Ensure your LLM applications stay safe, compliant, and performant in production.
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What makes us unique
NeuralTrust secures your Generative AI with a real-time defense layer, protecting against misuse, leakage, and abuse.
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End-to-end security
GAF protects every layer of your generative AI stack, from prompt inputs to network traffic, detecting bots, multi-turn attacks, and behavioral threats in real time.
Leading performance
It achieves industry-best detection accuracy with <10ms latency (GPU) and scales linearly to handle 20,000+ requests per second on commodity hardware.
High ceiling
Designed for flexibility, GAF supports deep customization, plugin-based extensions, and is available as open source to reduce vendor lock-in.
Platform agnostic
GAF works across all major LLM providers, supports cloud, on-prem, or hybrid deployments, and integrates easily with SIEMs, auth systems, and enterprise infrastructure.
Industry leading performance
NeuralTrust is a high-performance security layer that outperforms all alternatives on the market in both execution speed and detection accuracy.
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Secure every layer of your AI
Prompt Guard
Protect your LLM applications from jailbreaks, obfuscations, and malicious inputs with the most advanced guardrail engine on the market.
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Behavioral Threat Detection
Monitor usage patterns in real time to identify abnormal, risky, or compromised interactions before they escalate into security incidents.
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Bot Detection
Detect and block automated traffic, scrapers, and synthetic users before they drain your tokens, hijack your data, or poison your results.
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Sensitive Data Masking
Automatically detect and redact PII, credentials, and financial information in LLM prompts and responses before it reaches the wrong hands.
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Moderation & Policy Engine
Create and enforce moderation policies so you can automatically route flagged content, apply tailored remediations, and oversee reviews in line with your workflows.
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AI Gateway
Centrally access hundreds of AI models with robust control and deploy faster, with less friction.
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Securing LLM applications requires a new unifying architectural layer:
Frequently Asked Questions
It detects prompt injections, context hijacking, obfuscated payloads, tool misuse, toxic output, and real-time behavior anomalies — across prompt and response.
Yes. NeuralTrust includes volumetric controls that block abuse like prompt floods or DoS attacks, and rate-limits based on IP, fingerprint, or session behavior.
Yes. We support streaming protocols like WebSocket and HTTP Stream, applying protections even during token-by-token generation.
Highly. You can define policies by app, user group, or model; customize masking actions; and extend with plugins for unique use cases.
Secure your AI infrastructure today
Mitigate risks before they escalate through Runtime Security