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Your AI tools can be turned against you.We make sure they aren't.

Data leaking into AI. Agents going rogue. Prompt injection. NeverTrust.ai catches all three before damage is done.

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The problem

AI is powerful. It is also a real risk to a business.

Artificial intelligence is rapidly becoming essential to how businesses operate, but adopting it without understanding the risks is a mistake teams can't afford to make.

01

Data leakage

Every time an employee pastes internal data into an AI tool, sensitive information leaves the team's control. Source code, customer records, strategic documents — uncontrolled flows into third-party AI services violate regulatory obligations and expose the business to real harm.

02

Prompt injection

AI systems interpret natural language instructions, and attackers exploit this. Crafted inputs manipulate an AI into ignoring its rules, leaking information, or performing unintended actions. A fundamentally new attack surface that traditional security controls weren't designed to handle.

03

Agents going rogue

As AI moves from answering questions to taking actions — sending emails, executing code, calling APIs — the consequences of a mistake multiply. An agent with broad permissions that misinterprets an instruction can cause damage at machine speed, without the pause-and-think judgement a human would apply.

How it works

Three steps to network-layer AI security.

01

Deploy the agent

Install on any device running AI. All agent traffic automatically routes through our security layer — no proxy settings to configure. Works with CLI tools, web apps, MCP servers, and any AI framework. macOS and Linux today; Windows in beta.

02

Configure policies

Switch on preset policies or write your own to inspect, redact, or block what your endpoints can send and receive. Policies enforce at the network layer, before requests leave the device.

03

Block in real time

The engine enforces policy rules on every request and scans every AI response with an embedded ML model for injection and agentic attacks. Malicious content is blocked, suspicious behaviour is flagged. Every decision is logged for compliance, forensics, or auditing.

Free tool · no signup

See it in action.

Scan any text or URL for prompt injection, data exfiltration, and agentic threats — no signup, no install.

Compatible with any AI stack · no lock-in

OpenAIAnthropicGoogle GeminixAIMeta LlamaMistralCohereDeepSeekAI21 LabsQwenStability AIPerplexityGroqFireworks AIGitHub CopilotCursorWindsurfAWS BedrockAzure OpenAIVertex AIIBM watsonxDatabricksOllamavLLMHugging FaceReplicateTogether AIOpenRouterLangChainLlamaIndexAutoGPTCrewAIVercel AI SDKSemantic KernelHaystackGuardrails AILangSmithLangFuseHeliconeWeights & Biases
Features

AI security that defeats the lethal trifecta.

The only way to stay safe is to prevent the three capabilities from combining in the first place. We scan AI responses, enforce request policies at the network layer, and break the attack chain.

01

Break the attack chain

AI threat detection that scans every response from the LLM and enforces policy rules on every request. Detect prompt injection and agentic attacks in AI responses, and match request patterns to block data exfiltration before it leaves the device.

02

Data exfiltration prevention

Define policy rules that match sensitive data patterns in outbound requests. Block agents from leaking credentials, API keys, or confidential data through HTTPS traffic to AI services.

03

Network-layer enforcement

Lightweight TLS inspection agents route all traffic through our security layer. Works with any agent framework, any model provider, any application. No blind spots.

04

Security policy engine

Rules that match specific tool calls, body patterns, and hosts. Block an MCP tool from deleting a repository, alert when an agent executes shell, or detect credentials in responses. ML thresholds, regex rules, and traffic tags compose together.

05

Full audit trail

Every request, every response, every policy decision logged and searchable. Supports SOC 2, GDPR, and EU AI Act compliance with a complete audit trail.

06

Universal compatibility

Works with OpenAI, Anthropic, Gemini, xAI, Mistral, DeepSeek, self-hosted models, and every MCP server. Secures GitHub Copilot, Cursor, and any AI coding tool. Framework-agnostic and model-agnostic by design.

Who it's for

Built for teams accountable for AI security.

01

Security teams

Visibility and control over what AI agents access and transmit. Enforce data security policies without blocking innovation or rearchitecting your stack.

02

Platform & DevOps engineers

Integrate AI agent security into your existing infrastructure without SDK changes. Lightweight agent deployment means zero friction — no proxy settings, no code changes.

03

CISOs & compliance officers

Meet GDPR, AI Act, and SOC 2 obligations with enterprise AI cybersecurity controls. Prove you have governance over your AI systems before an auditor asks.

FAQ

Common questions.

Don't see what you're looking for? Get in touch.

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Stop the attack before it happens.

Pilot members get preferential pricing and direct input into the roadmap.

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