ZeroTrusted.AI
Securing Trust in the Next Wave of AI

Enterprises are rapidly integrating AI into their everyday operations, but most tools arrive without adequate safeguards. Out of the box, large AI models and embedded agents often begin training on sensitive enterprise data, acting outside approved policies and exposing organizations to regulatory and security gaps. The rush to adopt AI has left enterprises vulnerable, and leaders are realizing that without strong governance, AI can create as many risks as opportunities. Addressing that challenge is where ZeroTrusted AI comes in.

The company was built from the ground up to secure AI at every layer. Originally designed for the military, its platform carries high-level security at the core and has since evolved into a full-spectrum AI solution that works seamlessly across SaaS environments and on-premise systems. Unlike vendors retrofitting legacy tools, ZeroTrusted AI applied zero trust architecture specifically for AI, enabling organizations to run their own models and agents, whether embedded, third-party, or first-party, with complete security, reliability, privacy, and governance control. Now in its third year, the company is seeing its vision come to life across a wide range of industries.

“Our platform gives organizations the ability to use their own AI with full control over security, reliability, privacy, ethics, and governance,” says Waylon Krush, co-founder and CEO.

A PLATFORM BUILT FOR DEPTH AND BREADTH

ZeroTrusted AI goes far beyond the guardrails that many AI firewalls rely on. Traditional guardrails mainly mask or anonymize sensitive data before it reaches an AI system. The platform takes this further with an AI Judge that reviews every piece of information flowing in and out of models and agents. By keeping full context, it enforces governance requirements such as NIST, HIPAA, or PCI across all interactions, regardless of which type of model or database is involved. This includes monitoring new modes of interaction such as MCP and AI-to-AI transactions, where agents exchange information without a human in the loop. ZeroTrusted AI maintains a full chain of custody over these exchanges, ensuring organizations know exactly what their AI is accessing and can intervene if needed.

The platform is anchored by three major components. The first is a real-time gateway that operates through reverse and forward proxies and detects and regulates all AI activity. It identifies shadow AI embedded into applications, security relevant events, and stops unauthorized usage. The second component is a guardrails engine that prevents sensitive data from being uploaded into AI systems. These rules can be drawn from extensive pre-built governance frameworks or customized to align with organizational policies. The third component is the AI Health Check, which establishes baselines for models and agents and monitors them over time. It detects prompt injection, adversarial training, and one of the most critical risks: data drift. By catching shifts in output quality, the platform protects customer interactions and mission-critical processes from silent degradation.

ZeroTrusted AI initially set out to serve highly regulated industries such as finance, healthcare, and defense, but the platform quickly found a wider audience. Today, its customers include internet service providers, mining operations, and construction firms. What connects them is a common concern: keeping control of data and preventing employees from using unapproved AI systems. One global SaaS reseller, for example, struggled to manage Microsoft Copilot while also curbing the use of unapproved tools. With ZeroTrusted AI, they were able to secure Copilot and uncover shadow usage across the organization, finally bringing everything under one framework.

Our platform gives organizations the ability to use their own AI with full control over security, reliability, privacy, ethics, and governance.

LEADERSHIP WITH SECURITY AND STRATEGY

The leadership team reflects this balance of security and strategy. Krush draws on years of experience in military signals analysis, red and blue teaming, and cryptography. He previously built and sold a cybersecurity company to Motorola Solutions. His co-founder, Femi Fashakin, combines the perspective of a world champion poker player with a mathematician’s rigor, applying game theory to questions of trust and risk. Together, they have built a platform that has already caught the attention of Gartner, Product Hunt, and industry groups recognizing its work in privacy, reliability, and ethics.

The company’s outlook is straightforward. While many technology vendors push ahead without strong guardrails, ZeroTrusted AI is focused on being the counterweight. Its platform already aligns with compliance frameworks such as ISO 42001, the NIST AI Risk Management Framework, the EU AI Act, HIPAA, and PCI. It generates the logs and audit evidence that regulators expect. Over the next 18 to 24 months, the team expects to give enterprises the confidence to adopt new tools as quickly as their competitors, but with safeguards firmly in place.

In a market where trust is just as important as innovation, ZeroTrusted AI is positioned to protect both.