ZeroTrusted.ai
Revolutionizes cybersecurity for LLMs with anonymity, encryption, and reliable AI interactions.. [Free Trial]
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What is ZeroTrusted.ai?
ZeroTrusted.ai is an AI‑powered cybersecurity and AI‑governance platform that enforces zero‑trust principles across APIs, LLMs, and enterprise systems. It provides an end‑to‑end security suite that combines AI‑native SOAR, AI Firewall, AI Healthcheck, Shadow AI Protection, and AI Governance to protect data, manage compliance, and secure Generative AI usage.
The platform is designed for organizations that rely on Large Language Models and Retrieval‑Augmented Generation systems and must meet strict regulatory requirements such as FedRAMP High, NIST SP 800‑53, CMMC 2.0, HIPAA, PCI DSS, and ISO frameworks. It continuously monitors LLMs, agents, and vector databases for drift, bias, hallucinations, and policy violations, while an inline AI firewall inspects every prompt, response, and tool call to block injection, exfiltration, and misuse.
ZeroTrusted.ai is targeted at government agencies, regulated enterprises, and security‑conscious startups that need to audit and govern AI workflows, automate SOC operations with AI agents, and discover and control unsanctioned or shadow AI across the organization. It supports both cloud‑hosted SaaS plans and on‑premise deployments, with STIG‑hardened LLM containers and Bring‑Your‑Own‑Key (BYOK) integration for major LLM providers like GPT‑4, LLaMA, and Grok.
Key aspects include AI‑driven SOC automation, compliance‑mapping to multiple frameworks, and privacy‑preserving features such as PII/PHI redaction, anonymized prompts, end‑to‑end encryption, and copyright‑risk analysis. The platform also includes governance dashboards for policy management, audit logging, and risk scoring of AI systems, aimed at reducing operational overhead while maintaining strict security posture.
ZeroTrusted.ai pricing
Pricing model: Freemium
ZeroTrusted.ai offers Software‑as‑a‑Service (SaaS) plans that require Bring‑Your‑Own‑Key (BYOK) to use with LLMs such as GPT‑4, LLaMA, and Grok. Pricing is listed in US dollars, with international pricing available on request. Standard and Team plans are user‑based, while Enterprise and On‑Premise plans are custom or volume‑based. The Standard plan costs 9.99 USD per month per user (99.99 USD per year) and is aimed at startups with under 50 users; it includes a 15‑day free trial with no credit card, PII/PHI/PCI detection, prompt anonymization, end‑to‑end encryption, limited AI HealthChecker, limited agents, and up to 250 MB of audit logs. The Team plan costs 14.99 USD per month per user (149.99 USD per year) for teams of 51+ users and adds 10,000 API calls per month, up to 500 MB of logs, and slightly expanded AI HealthChecker and governance features. The International/Enterprise SaaS plan is custom‑priced, tailored for large organizations with unlimited users, dedicated support, full AI HealthChecker, unlimited logs, privacy‑enabled RAG, fortified custom LLM deployment, and advanced governance. On‑Premise plans are sold as standalone bundles: a small on‑premise plan costs 2,400 USD per year for up to 100 users and includes AGS, AI Health Checker, LlamaGuard, and STIGed LLM containers with 1 million API calls and 1 million words of copyright‑risk analysis, while the On‑Premise Enterprise plan is custom‑priced for organizations with more than 101 users and includes all advanced features and unlimited capacity.
ZeroTrusted.ai pros
- 232 specialized AI security agents across multiple domains
- Supports 288 security tools and 14 compliance frameworks
- FedRAMP High‑aligned with NIST SP 800‑53, CMMC 2.0, HIPAA, and PCI DSS
- AI Firewall blocks prompt injection, jailbreaks, and data exfiltration in real time
- Sub‑millisecond latency impact when inspecting prompts and responses
- AI Healthcheck continuously monitors LLMs, agents, and RAG systems for drift and hallucinations
- Shadow AI Protection discovers 99% of unsanctioned AI tools in the enterprise
- Browser‑integrated proxy with DLP and PII redaction enforced at the user edge
- End‑to‑end encryption and zero‑trust architecture for AI‑to‑AI and API traffic
- PII/PHI/PCI detection and anonymization before sending prompts to LLMs
- Copyright‑risk and plagiarism detection for AI‑generated content
- Audit logging and compliance‑evidence packaging for AO submission and frameworks
- Autonomous SOC that handles 94%+ triage and containment decisions automatically
- Multi‑cloud deployment on AWS EKS, Azure AKS, and GCP GKE with automated hardening
- Custom on‑premise plans with STIG‑hardened LLM containers and AGS bundles
- Bring‑Your‑Own‑Key (BYOK) support for GPT‑4, LLaMA, Grok, and other LLMs
- Supports ISO 27001, SOC 2, EU AI Act, and NIST AI RMF compliance mapping
- Real‑time adaptive access controls and anomalous‑behavior detection for insider threats
- LLM‑ensemble scoring to reduce hallucinations and data‑poisoning risks
- Prompt‑optimization and data injection features for higher‑quality AI outputs
ZeroTrusted.ai cons
- Limited features under free trial and lower tiers such as reduced AI HealthChecker access
- Enterprise and on‑premise pricing requires custom quoting and may be costly for smaller firms
- Shadow AI Protection and full‑blown governance require higher‑tier plans
- Some advanced capabilities like privacy‑enabled RAG and fortified custom LLM deployment are not included in basic plans
- On‑premise deployment demands technical resources to manage and harden containers
- Support scope and SLA details are not fully transparent on the public pricing page
- Geographic pricing outside the US is not listed and must be negotiated
- Complexity of integrating multiple AI agents and tools may require dedicated security‑AI expertise
Frequently asked questions about ZeroTrusted.ai
What is ZeroTrusted.ai and how does it differ from other AI security tools?
ZeroTrusted.ai is an AI‑native cybersecurity and governance platform built on zero‑trust architecture that protects APIs, LLMs, and enterprise systems end‑to‑end. It differs from traditional tools by combining AI‑powered SOAR, an inline AI Firewall, continuous AI Healthcheck, Shadow AI Protection, and comprehensive governance in a single suite, with 232 specialized AI agents and 288 tools aligned to 14 compliance frameworks. Unlike many LLM‑focused solutions, it does not store user search history, does not share user identity or email with underlying LLMs, and applies strict zero‑trust principles such as assume‑breach encryption and least‑privilege access from the ground up.
How does ZeroTrusted.ai protect sensitive data and privacy in AI workflows?
ZeroTrusted.ai uses a privacy‑first approach that filters and sanitizes prompts before they reach any LLM, detecting and masking or replacing PII, PHI, PCI‑DSS, and GDPR‑related data automatically. It applies end‑to‑end encryption so that even gateway servers cannot read sensitive payload fields, and it anonymizes prompts so the underlying LLM never learns the user’s identity. The platform also ensures no long‑term storage of search history or user data, and its ztDataPrivacy module lets organizations encrypt specific API properties (such as SSN or email) so that those values remain protected even if the gateway is compromised.
What compliance and regulatory frameworks does ZeroTrusted.ai support?
ZeroTrusted.ai supports 14 compliance frameworks, including FedRAMP High, NIST SP 800‑53, CMMC 2.0, HIPAA, PCI DSS, SOC 2, ISO 27001, EU AI Act, and DISA STIG, among others. Its compliance model is trained on NIST 800‑53 and related regulatory data so that it can map APIs and AI workflows to specific controls, provide evidence‑packaging for Authorizing Officials, and continuously update policies as standards evolve. The platform also offers audit logging, policy management, and risk‑scoring features to help organizations demonstrate and maintain compliance over time.
What is the AI Firewall and what does it block?
The AI Firewall is an inline gateway that inspects every prompt, response, and tool call traversing the platform, enforcing security and governance policies in real time. It blocks prompt injection attempts, jailbreaks, data exfiltration attempts, hallucinations, toxic or policy‑violating content, and unauthorized tool or plugin usage, all with sub‑millisecond latency impact. The firewall integrates with the AI SOAR and Shadow AI Protection modules so that blocked events can trigger automated workflows, evidence‑packaging, and access downgrades or IP blocking where appropriate.
How does Shadow AI Protection work and what does it discover?
Shadow AI Protection deploys a browser‑integrated proxy that runs at the user edge and discovers unsanctioned AI tools and chatbots across the enterprise without requiring admin rights. It continuously monitors outbound traffic to detect non‑approved LLM and AI‑based services, applies DLP filters, redacts 99% of PII, and enforces content filtering and policy rules even for shadow‑installed tools. This module helps organizations gain visibility into hidden AI usage, enforce acceptable‑use policies, and prevent sensitive data from leaking through unapproved channels.
What is AI Healthcheck and why is it important for LLMs?
AI Healthcheck is a continuous monitoring module that checks LLMs, small language models, RAG pipelines, agents, and vector databases for drift, bias, prompt‑injection exposure, hallucination, and policy regressions. It generates evidence packages that map to standards like FedRAMP, NIST AI RMF, ISO 42001, and SOC 2, helping organizations assess model reliability and compliance posture over time. By flagging degradation or anomalies early, AI Healthcheck reduces the risk of inaccurate outputs, regulatory violations, and operational failures in AI‑driven workflows.
What deployment options does ZeroTrusted.ai offer?
ZeroTrusted.ai supports multi‑cloud SaaS deployments on AWS EKS, Azure AKS, and GCP GKE, with automated installation and security hardening, as well as on‑premise deployments for organizations that require air‑gapped or highly controlled environments. The SaaS plans are user‑based and integrate with major cloud marketplaces, while the on‑premise plans provide downloadable bundles that include AGS, AI Health Checker, LlamaGuard, and STIG‑hardened LLM containers requiring Bring‑Your‑Own‑Key for LLM connectivity. Both options enforce zero‑trust identity and access controls and can be tailored to strict regulatory or national‑security requirements.
How does ZeroTrusted.ai handle copyright and plagiarism for AI‑generated content?
ZeroTrusted.ai includes copyright‑risk and plagiarism‑detection features that analyze AI‑generated text against existing sources to identify potential infringement or reuse. These checks are available in tiers above the basic plan, with word limits and incremental pricing for additional volume (for example, 10,000 or 1 million words included plus add‑on packs). The platform flags questionable content and helps organizations avoid legal exposure by alerting users or blocking risky outputs before they are published or shared externally.
Who is ZeroTrusted.ai designed for and what industries benefit most?
ZeroTrusted.ai is designed for government agencies, regulated enterprises, and security‑conscious startups that must protect sensitive data and comply with strict regulatory standards while adopting Generative AI. Industries that benefit most include defense and intelligence, healthcare, financial services, critical infrastructure, and any sector dealing with PII, PHI, PCI‑DSS, or export‑controlled information. The platform is also suitable for organizations building AI‑driven products or internal tools that rely on APIs, RAG, and autonomous agents and need complete governance and auditability.
How does ZeroTrusted.ai manage integration and onboarding with existing security tools?
ZeroTrusted.ai is built for interoperability and can integrate with existing SIEM, SOAR, IAM, and cloud‑security solutions as a plug‑and‑play layer for AI‑specific protections. It supports cloud‑marketplace installations and multi‑cloud deployments, provides APIs for custom workflows, and includes onboarding assistance such as one‑on‑one training and configuration support to align policies with an organization’s existing security posture. The platform can discover and govern shadow AI while also feeding alerts and logs into existing security stacks without requiring a full rip‑and‑replace of current tooling.