Key facts
- ZeroTrusted.ai provides an inline firewall that inspects every prompt, response, and tool call in real time, blocking prompt injection, jailbreaks, data theft, and unauthorized tool use with sub-millisecond latency [4]
- The platform continuously monitors AI models and agents for drift, bias, hallucinations, and policy violations, generating compliance evidence for FedRAMP, ISO 42001, NIST, and SOC 2 [3]
- AI SOAR automates security incident response across AI systems using governed agents, tool definitions, and 14 packaged compliance frameworks built for enterprise and government operations [2]
Why AI Security Matters Now
As Central Florida businesses adopt AI agents and large language models, they face unfamiliar risks: prompts designed to trick AI into leaking data, models that drift from their intended behavior, hallucinations that spread misinformation, and compliance gaps that regulators will eventually audit. Most companies treat AI security as an afterthought, testing it only after deployment [1].
Real-Time Protection at the Prompt Level
The platform’s AI Firewall sits between your users and any model—whether that’s ChatGPT, Claude, an open-source LLM, or your own internal agent. It inspects every prompt, response, and tool call in real time [4]. The firewall blocks prompt injection attacks (where someone embeds hidden commands in a prompt), jailbreaks (attempts to override safety guidelines), data exfiltration (theft of sensitive information), hallucinations, and unauthorized tool use. All of this happens with sub-millisecond latency, meaning your AI stays fast [4].
For companies handling regulated data—healthcare records, financial information, or trade secrets—the firewall redacts personally identifiable information, protected health information, classified markings, and API secrets before they ever leave your network [4].
Testing Before You Deploy
ZeroTrusted.ai’s Deep AI Agent Testing Suite runs adversarial tests on agents and models before release. The platform registers every agent with its identity, owner, permissions, and autonomy limits, then runs preflight validation, benchmark tests, and 12 adversarial attack packs with 56 versioned attack vectors [1]. One-button workflows test agent-versus-agent scenarios and attempt to escape restrictions, then generate a signed evidence package proving the system passed [1].
For companies building autonomous systems or drones, the platform extends testing into operational technology and uncrewed aircraft systems, assessing firmware, flight controllers, AI autonomy decisions, and mission safety [2].
Continuous Monitoring for Drift and Compliance
After deployment, AI Healthcheck continuously monitors your models, agents, and retrieval pipelines for drift (when model behavior silently changes), bias, hallucination rates, and exposure to prompt injection [3]. The platform baselines expected model behavior across prompts and latency, then alerts you when production deviates [3].
Healthcheck integrates with your CI/CD pipeline, blocking releases that fail drift, bias, injection, or factuality tests [3]. It auto-generates compliance evidence for FedRAMP, ISO/IEC 42001, NIST AI RMF, SOC 2, and EU AI Act requirements, eliminating manual audit preparation [3].
Automated Incident Response
When a security problem is detected, AI SOAR coordinates the response. The platform uses governed agents with predefined security skills and tool definitions, 11 connector categories (integrations with your existing tools), and 14 compliance frameworks [2]. It correlates findings, investigates incidents, and responds autonomously, reducing mean time to detection and mean time to remediation [2].
The system is multi-tenant, so if you manage operations for customers or across business units, you can govern each one separately with scoped evidence and audit trails [1].
Getting Started
ZeroTrusted.ai offers a free trial to evaluate the platform on your own AI systems [1]. The company also provides recorded product walkthroughs and personalized demonstrations of each module—AI Firewall, AI Healthcheck, and AI SOAR—so you can see how they fit your infrastructure before committing [1][2][3][4].
Frequently asked questions
What does ZeroTrusted.ai’s AI Firewall actually block?
The firewall inspects every prompt, response, and tool call to block prompt injection, jailbreaks, data exfiltration, hallucinations, toxicity, and unauthorized tool use. It also redacts PII, PHI, secrets, and classified markings before they leave your network. All of this adds less than one millisecond to your inference latency [4].
How does AI Healthcheck help with compliance?
Healthcheck continuously monitors models, agents, and RAG pipelines for drift, bias, hallucination, and prompt-injection exposure. It auto-generates evidence packages for FedRAMP, ISO 42001, NIST AI RMF, SOC 2, and EU AI Act, eliminating manual audit work [3].
Can ZeroTrusted.ai test agents before we deploy them?
Yes. The Deep AI Agent Testing Suite registers agents with their permissions and autonomy limits, then runs preflight validation, benchmark tests, and 12 adversarial attack packs with 56 attack vectors. It also tests agent-escape scenarios and generates a signed evidence package proving the agent passed [1][2].
Does ZeroTrusted.ai work with multiple AI models?
Yes. The platform secures LLMs from OpenAI, Anthropic, Google, Meta, and Mistral, as well as self-hosted models, RAG pipelines, vector databases, and agent frameworks like LangChain and OpenAI Assistants [1][3][4].
Sources
- ZeroTrusted.ai — Zero Trust for AI, Agents & Cyber Operations – 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 7, 2026.
Disclosure: ZeroTrusted.ai and Central Florida Lifestyle are both Krush Group companies.
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