Stop the Lethal Trifecta Before It Steals Your Data.
AI agents with private data access + untrusted content + external communication = data exfiltration. NeverTrust.ai intercepts every prompt and response at the network layer, breaking the attack chain before it executes.
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The Lethal Trifecta: When Three Capabilities Combine to Enable Data Theft
AI agents with these three capabilities are trivially exploitable. An attacker can inject instructions through untrusted content, command the agent to access your private data, and exfiltrate it externally.
LLMs can't reliably distinguish legitimate instructions from malicious ones embedded in content. Guardrails fail. This isn't theoretical — researchers have exploited Microsoft 365 Copilot, GitHub MCP, GitLab Duo, ChatGPT, Google Bard, Slack, and dozens more production systems this way.
1. Access to Private Data
Your agents need access to databases, APIs, emails, and documents to do their job. This is exactly what makes them useful — and what makes them dangerous.
2. Exposure to Untrusted Content
Agents read web pages, process emails, summarize documents. Any of these can contain malicious instructions that hijack the agent's behaviour through prompt injection.
3. External Communication
Once compromised, agents can exfiltrate your private data through HTTP requests, emails, API calls, or even links in their responses. The attack completes silently.
Three Steps to Complete AI Agent Control
Deploy the VPN Agent
Install our lightweight VPN agent on all devices running AI agents. All agent traffic automatically routes through our security layer. Works with CLI tools, web apps, MCP servers, and any AI framework. Zero code changes.
Configure Trifecta Policies
Define what data each agent can access, which external domains it can communicate with, and what content sources are trusted vs. untrusted. Policies enforce at the network layer before requests leave the device.
Block Attacks in Real-Time
Our engine inspects every prompt for injection attempts and every response for data exfiltration patterns. Malicious instructions are blocked. Suspicious behaviour is flagged. Every decision is logged for compliance and forensics.
How NeverTrust.ai Defeats the Lethal Trifecta
The only way to stay safe is to prevent the three capabilities from combining in the first place. We intercept at the network layer and enforce policies that break the attack chain.
Break the Attack Chain
Intercept and inspect every prompt before it reaches the LLM. Detect malicious instructions from untrusted content and block them before they can command data exfiltration.
Data Exfiltration Prevention
Monitor outbound communication for private data patterns. Block agents from leaking PII, credentials, API keys, or confidential data through HTTP requests, emails, or API calls.
Network-Layer Enforcement
Lightweight VPN agents route all AI traffic through our security layer. Works with any agent framework, any model provider, any application. No code changes. No blind spots.
Scope-Based Access Control
Limit what data each agent can access based on its specific purpose. Fine-grained policies per agent, per team, per use case. RBAC can't do this — we can.
Full Audit Trail
Every prompt, every response, every policy decision logged and searchable. Prove compliance with SOC 2, GDPR, and EU AI Act requirements.
Universal Compatibility
Works with OpenAI, Anthropic, Gemini, Mistral, self-hosted models, and every MCP server. Framework-agnostic and model-agnostic by design.
Built for the Teams Responsible for AI Security
Security Teams
Get visibility and control over what AI agents access and transmit. Enforce policy without blocking innovation or rearchitecting your stack.
Platform & DevOps Engineers
Integrate AI agent security into your existing infrastructure without SDK changes. Virtual VPN agent deployment means zero friction.
CISOs & Compliance Officers
Meet your GDPR, AI Act, and SOC 2 obligations. Prove you have controls over your AI systems before an auditor asks.
Common Questions
Secure Your AI Agents Before They Secure Themselves.
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