Key facts
- ZeroTrusted.ai adds security inspections to every prompt and response—blocking prompt injection, data leaks, and jailbreaks—with less than one millisecond of latency impact [4].
- The platform works with any AI model you already use, whether it’s ChatGPT, Claude, Gemini, or self-hosted models, keeping your vendor relationships and billing unchanged [1].
- No code changes are needed; security runs alongside your existing applications through what the company calls an ‘inline’ or ‘out-of-band’ approach [1].
ZeroTrusted.ai addresses that tension by letting companies use the AI they’ve already chosen without ripping out existing systems or rewriting applications.
Bring Your Own AI, Add Security Later
The platform’s core idea is simple. Whether your team uses commercial models like ChatGPT, Claude, or Gemini—or runs open-source alternatives through Ollama or llama.cpp—ZeroTrusted.ai secures and governs them without changing how they work [1]. You keep your vendor contracts, your billing relationships, and your data routing. The security layer sits in front, inspecting every interaction.
“Our products allow you to enable your mission. We just do it with security, privacy, and transparency, every time you go to work,” the company states [1].
Real-Time Threat Blocking
The AI Firewall component monitors every prompt, every response, and every tool call in real time [4]. It blocks common attacks—prompt injection (where users trick AI into ignoring its instructions), jailbreaks, and data exfiltration—while redacting sensitive information like PII and classified markings before they leave your network [4]. The latency hit is negligible: under a millisecond for most workflows [4].
For businesses running internal agents and tools, the platform lets you set an allow-list of functions each agent can call, inspect the arguments being passed, and revoke access instantly if a policy violation occurs [1].
Testing Before Deployment
Before putting an AI agent into production, companies can run one-button preflight checks, adversarial tests that try to trick the agent into misbehaving, and escape tests that probe whether guardrails hold [1]. Every action is traced and signed, generating evidence packages suitable for compliance audits [1].
The platform supports 14 packaged compliance frameworks and can auto-generate evidence for FedRAMP, ISO 42001, NIST AI RMF, SOC 2, and EU AI Act requirements [3].
Continuous Monitoring
AI Healthcheck runs alongside deployed models and agents to catch drift, bias, hallucination, and prompt-injection exposure over time [3]. It baselines model behavior and alerts when production deviates from validated performance, generating the compliance artifacts auditors request [3].
From the Edge to the Enterprise
The architecture scales from a single laptop running disconnected (no internet required) to large enterprise clusters [1]. Forward-deployed teams can run agents and models locally with only local approvals and audit trails, while regional nodes and enterprise data centers use hardened Kubernetes [1].
For organizations managing operational technology—industrial systems, drones, or autonomous vehicles—ZeroTrusted.ai extends security into those domains, tracking evidence to NIST and IEC standards [2].
Getting Started
The company offers a free trial and demo requests on its website, allowing teams to see how the platform integrates with their existing security stack before committing [1]. Setup follows six steps: bring your AI model, connect your systems (SIEM, email, ticketing, cloud services, etc.), build or clone an agent, set guardrails and permissions, test, and deploy [1].
Frequently asked questions
Do I have to switch AI models to use ZeroTrusted.ai?
No. The platform works with the commercial models you already subscribe to—ChatGPT, Claude, Gemini—or self-hosted models like those run through Ollama and llama.cpp [1]. You keep your vendor relationships and billing unchanged [1].
Will adding security slow down my AI applications?
The security layer adds less than one millisecond of latency impact to most inference paths [4]. You can deploy it inline (directly in the data flow) or out-of-band (capturing telemetry separately) with zero user-facing impact [4].
What happens if my AI agent tries to do something it shouldn’t?
The AI Firewall inspects every prompt, response, and tool call in real time [4]. It can block prompt injection and jailbreaks before they reach the model, redact sensitive data, and revoke tool access the moment a policy violation occurs [4]. High-impact actions wait for human approval [1].
Will I need to rewrite my applications?
No. Security runs alongside your existing systems through inline or out-of-band deployment; there are no code changes required [1]. The platform works the same on a forward-deployed laptop and in the enterprise data center [1].
Sources
- ZeroTrusted.ai — Enable AI and AI Agents for Any Mission. Securely. – ZeroTrusted.ai
- AI SOAR — Automated Incident Response at Machine Speed – ZeroTrusted.ai
- AI Healthcheck — Continuous Assurance for AI Systems – ZeroTrusted.ai
- AI Firewall — Intelligent Threat Prevention for LLMs, Agents, and APIs – ZeroTrusted.ai
Compiled by Central Florida Lifestyle from official sources. Last updated October 31, 2026.
Disclosure: ZeroTrusted.ai and Central Florida Lifestyle are both Krush Group companies.
