ZeroTrusted.ai

ZeroTrusted.ai is an AI security platform for enterprise and government zero trust operations, with the goal of protecting AI agents, models, and autonomous operational processes with a complete security suite.

Primary uses The platform is positioned to protect the full lifecycle of AI systems within its own infrastructure, from asset discovery, testing, and response to governance and continuous assurance. The material emphasizes that it is "built for agentic AI, not just chatbots."

Primary capabilities

1. AI Firewall: An inline firewall inspects every prompt, response, and tool call, intercepting prompt injection, jailbreaks, data exfiltration, hallucinations, harmful content, and unauthorized tool use; it redacts or blocks PII, PHI, confidential, and custom sensitive markers; it supports tool allowlisting, parameter checks, and immediate revocation of tool access upon violation; it supports inline or bypass deployment, with inline adding sub-millisecond latency impact to most inference paths; it can rate-limit, throttle, and isolate abusive callers at the AI API layer, and detect model inversion, membership inference, and poisoning attempts.
2. AI HealthCheck: It can run in parallel with models and agents without modifying application code; it models baselines for prompts, latency, and output distributions, and alerts when drift occurs in LLMs, SLMs, RAG, and vector databases; it provides bias scoring, factuality regression detection, loop adversarial probing, and pre-deployment policy-as-code gates; it can automatically generate evidence packages for FedRAMP, ISO/IEC 42001, NIST AI RMF, SOC 2, and the EU AI Act.
3. AI SOAR: An AI-driven security orchestration, automation, and response platform, with built-in platform-native agent definitions, governed tool definitions, 11 types of connectors, and 14 packaged compliance frameworks, aimed at zero trust operations for government and enterprises.
4. Agent registry and deep testing suite: Register each agent's identity, owner, tenant, skills, tools, permissions, and autonomy limits; with one click, execute pre-checks, benchmark scoring, adversarial testing, agent-vs-agent testing and escape testing, human review, certification, remediation, and retesting, and export signed evidence packages and task traces; model integrity and hidden-weight scanning can identify tampered or anomalous model artifacts before release.
5. Shadow AI protection: Automatically discover and govern shadow AI within the enterprise, providing DLP, prompt injection defense, content filtering, and 99% PII redaction through a browser-integrated agent, enforced at the user edge without administrator privileges.
6. AI governance system: Manage policies, audit trails, risk assessments, and compliance framework mapping, covering SOC 2. ISO 27001, NIST, etc.

Functional Module Overview The material lists a large number of modules, including: Dashboard, Enterprise Scale, Launchpad, Risk Management, Unified Discovery, Threat Intelligence, Test Scheduling, Continuous Monitoring, Asset Management; Configuration Profiles, Inventory, Discovery, Supply Chain Risk, MSSP Dashboard, Customer Operations, Enterprise Operations Catalog, Edge Endpoints, Perimeter, Interconnection and ISA, Architecture Diagrams; Security Testing Command Center (Test Hub, Task Chains, Penetration and Assessment, Prompt Workbench, Wireless/RF Security, Code Analysis, DAST, AI Application Security Assessment, Cyber Intelligence, PCAP Reader, ZTA Validator); Threat Response (Incident Response, POA&M, CP/IR Testing, Patch Management, Forensics); Agent Hub, SWARM, Workforce, Agent Tools; Deep AI System Testing (Benchmark Management, Human Review Workbench, Agent Task Trajectories, Adversarial Testing, Agent Validation, SWARM Routing Ledger, Agent Remediation Hub, Agent Preflight Operations, Evidence Package Export, OpenClaw, AI-Infra-Guard); AI Observability, Semantic Grounding, AI Guardrails, AI WAF, AI Firewall, AI HealthCheck, AI Governance, AI Asset Inventory, AI Security Assessment, DRM Usage, Automation, K8s Security, NVIDIA Platform; Module Settings and Prerequisites, Autonomous SOC, SIEM and Log Hub, EDR Hub, ITDR, Email Security, Human-Machine Interaction Threats, Cloud Security, SOC Communications, Digital Twin; UEBA, Detection Rules, Detection Engineering, Attack Surface, Deception, OSS Security Stack; Document Generator, AI Policy Wizard; Industry Compliance (Banking and Finance, Health HIPAA, Government FISMA, CMMC 2.0, Energy NERC CIP, Insurance, SOC 2 Type II, ISO 42001 AI Management, EU AI Compliance, Japan AI Compliance, Brazil AI Compliance, Fraud Detection, AML/KYC Center); OT Security, Manufacturing, Robotics, Medical Devices, ICS Controllers; Military and Emergency Security (Military and Drone Security, AI CNO Platform, CNO Operations Console); and Administrative Configuration (Role Configuration, Management Center, Organization MSSP, Customer Portal, Portal Configuration, Facilities, Perimeter, Contacts, Release Management, Edge Endpoints, User Approvals, Alert Channels, Training Center, Platform Settings, Red Hat RHEL, API Keys, Identity and Access,Zero Trust IAM, Local AI Models, License Management, Deployment Guide, Test System, Help, Module Documentation).

How to Use The platform has a multi-tenant architecture, can be deployed within your own infrastructure, and supports managing operations across companies and customers. The material mentions showcasing each module's workflow through recorded product demos and training videos, and recommends validating policy settings and allow/block results in an authorized demo. Some modules are marked with operational readiness status checked individually by customer, connector, and deployment, rather than a default catalog entry meaning it is available.

Applicable Scenarios The applicable scenarios listed in the material include: government and enterprise Zero Trust operations, highly regulated industries such as finance, healthcare, energy, and defense, as well as organizations that need to govern shadow AI, secure autonomous agent operations, and meet compliance requirements such as FedRAMP, ISO 42001, NIST AI RMF, SOC 2, HIPAA, FISMA, CMMC 2.0, NERC CIP, and the EU AI Act.

Limitations The material does not provide specific fees, pricing, free trials, performance benchmark numbers, or deployment resource requirements. The platform has many features, and the actual available scope must be confirmed individually by customer, connector, and deployment environment.