NeuralTrust Is Building the AI Security Infrastructure You Didn’t Know You Needed
NeuralTrust helps organizations secure the new attack surface created by AI.
NeuralTrust is a European AI security vendor addressing one of the most misunderstood risks in enterprise AI: infrastructure-level threats to LLMs and agentic systems. While most organizations are still focused on governance, model selection, or hallucination reduction, NeuralTrust positions itself as focusing on something more foundational. It focuses on what happens when attackers target the runtime layer of AI systems, not just their inputs.
The vendor reports that its platform combines a Generative Application Firewall (GAF) and a suite of agent security controls that work together to defend against risks most enterprises don’t yet realize exist. NeuralTrust's approach is designed for CIOs and CISOs who understand that AI itself is creating a new attack surface.
The Real Problem: You Won’t See the Breach Until It’s Too Late
Cybersecurity is becoming a four-letter word in AI discussions. Not because it's unimportant, but because it's invisible until catastrophic. Prompt injection, jailbreaks, and agent manipulation don’t leave obvious traces. By the time your SOC sees anything, it’s already customer-facing.
NeuralTrust reports a flexible pricing model and serves a wide range of customers, from startups to large enterprises. Even with flexible pricing, this kind of security comes with costs, but the cost of recovering from a silent breach is far higher.
According to NeuralTrust, its firewall doesn’t just inspect single prompts – it tracks full conversational context, where the real danger lives. The vendor adds that its agent controls go beyond just scanning logs – they enforce live permissioning and policy checks at the interaction level, where malicious payloads execute.
What the Echo Chamber Attack Proved
In June 2025, NeuralTrust disclosed a new jailbreak technique known as the Echo Chamber Attack. Unlike prior prompt-based exploits, this method poisons the model’s own output loop. It uses prior safe responses to bypass future guardrails. It succeeded against leading models, including GPT-4o and Gemini 2.5, with over 90% effectiveness in generating banned content in as few as three turns. According to NeuralTrust, this demonstrated:
- That filtering prompts is no longer enough.
- The importance of runtime observability and enforcement.
- That offensive testing must become part of AI risk governance.
NeuralTrust immediately integrated detection and simulation tools for Echo Chamber into its core platform. TrustGate provides live defenses, and TrustTest enables pre-production stress testing.
If you're not preparing for this, you're trusting your LLM to do what you hope is safe, without any visibility or control when it doesn't.
Why This Feels Optional. Until It Doesn’t.
Enterprises aren’t rushing to buy AI firewalls because the danger isn’t loud yet. There's no compliance mandate, no billion-dollar breach, no burned brand headline…yet.
But AI agents are already running code. LLMs are already making external API calls. And most enterprises are flying blind.
NeuralTrust’s traction is strongest in Europe, supported by public innovation funds and early adopters in high-sophistication verticals. In North America, the company identifies the primary challenge as market awareness rather than competition. Most buyers don’t know this layer of protection exists, let alone why they need it.
Our Take
NeuralTrust is at the leading edge of solving a problem that, while real, may not be applicable to your organization just yet. But if you believe AI will eventually require the same layered defense that was built for cloud, applications, and endpoints, this is exactly the kind of vendor to evaluate before you’re reacting under pressure.
They report addressing common concerns such as hallucination and model drift through TrustTest, allowing customers to run functional tests against their LLMs. It also offers real-time protection, forensic-grade logs, and agent controls that your current stack likely cannot match.
If your AI stack is producing decisions, code, or customer content, you already have an attack surface. NeuralTrust is at the front lines of protecting that front.