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NeuralTrust enables enterprises to deploy and scale AI agents while maintaining full control over security, performance, and compliance; and accelerating the integration of data and tools. As a secure LLM gateway, it streamlines connectivity with enterprise systems, optimizes traffic management, and mitigates vulnerabilities such as adversarial exploits. Unlike traditional guardrails that analyze prompts in isolation, NeuralTrust pioneers a holistic security approach that accounts for the full user context, ensuring AI interactions remain safe.
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NeuralTrust is the leading platform for securing and scaling LLM applications and agents. It provides the fastest open-source AI gateway in the market for zero-trust security and seamless tool connectivity, along with automated red teaming to detect vulnerabilities and hallucinations before they become a risk.
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ML Engineers, Security Engineers, Software Engineers
NeuralTrust.ai's answer
The companyโs technological uniqueness lies in its proprietary state-of-the-art security platform co-developed with Pompeu Fabra University under a research and IP licensing agreement. This advanced technology includes a proprietary database of cybersecurity attacks on LLM (jailbreaks), low-latency language models trained by the company to identify risks in real-time, and an automated red teaming engine that tests LLMs vulnerabilities.
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Solutions like NeuralTrust are designed for this exact purposeโproviding the visibility and control needed to detect indirect prompt injections and stop self-replicating prompts before they can do damage. - Source: dev.to / 5 months ago
At NeuralTrust, weโre building the infrastructure of certainty to help teams bridge this trust gap. The goal isn't to stop using AIโit's to use it with the confidence that a single "vibe" won't become a systemic failure. - Source: dev.to / 6 months ago
Discovery canโt be a one-time audit. It has to be continuous. If new AI behavior appears and your governance layer doesnโt detect it, youโre always reacting too late. - Source: dev.to / 6 months ago
As developers, weโre often told that state-of-the-art multimodal models like Grok 4, Gemini Nano Banana Pro, and Seedance 4.5 have ironclad guardrails. They are supposed to be aligned, safe, and resistant to malicious prompts. However, recent research from NeuralTrust has uncovered a fundamental, systemic flaw in how these models handle complex, multi-stage instructions. - Source: dev.to / 6 months ago
Implement AI Guardrails: Use specialized security layers like NeuralTrust to monitor agent behavior in real-time and block anomalous administrative actions. - Source: dev.to / 7 months ago
CipherGenix - Our platform provides AI-specific threat detection and prevention that monitors AI systems in real-time to identify and block adversarial attacks - subtle input manipulations designed to deceive AI models and cause critical failures,
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Qadar AI Shield - Qadar AI gives you visibility, control, and auditability for company-wide AI usage.
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XSource Security - AI Security Suite: AgentAudit scanning (650+ vectors), AgentBench benchmarks, BreachLab training. Free tier available.
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