07.04.2026

America's 250th Anniversary

AxiomGuard Protected
Announcing
AxiomguardProtected
NOW Accepting Pilot Deployments
Official Availability Launch — 08.10.2026
AxiomGuard Protected - What's Out There vs The Gap vs AxiomGuard Protected: Validate, Govern, Approve before AI takes action

Next-Generation AI Governance Middleware

Every AI decision. Validated. Enforced. Proven.

Built in direct response to $100M+ in AI-related lawsuits filed in 2025–2026

AxiomGuard sits between your AI models and the world -- validating, enforcing, and monitoring every output against deterministic rules. Audit-ready, regulation-proof, and built for high-stakes environments.

AxiomGuard
Now onboarding select pilot partners -- Enterprise Preview Coming Soon
AxiomGuard Protected — AI Validation & Governance Middleware

AI Validation & Governance Middleware

Introducing AxiomGuard Protected™

As organizations rapidly deploy AI across business, healthcare, research, government, and critical infrastructure, a new challenge is emerging: how do you validate, govern, and audit AI-driven decisions before they impact real-world operations?

Rather than replacing AI models, AxiomGuard Protected™ provides an additional governance and validation layer between AI-generated outputs and real-world execution.

  • Rule Extraction
  • Semantic Grounding
  • Retrieval-Augmented Validation (RAG)
  • Formal Verification
  • Deterministic Validation
  • Approve / Deny / Escalate Workflows
  • Human-in-the-Loop Review
  • Auditability & Monitoring

Resolve Integration Technologies is currently exploring pilot opportunities and research collaborations, including ongoing work with researchers at the University of Utah related to next-generation governance architectures for autonomous AI systems.

NIST AI RMF Aligned
Post-Quantum Cryptography
Inline Middleware — Zero Model Changes
Court-Admissible Audit Logs
EU AI Act Ready

The Middleware Architecture

How AxiomGuard Governs AI

Six layers of governance that sit between your AI models and the world. No retraining required. No model changes needed.

AI MODELSAXIOMGUARD MIDDLEWAREGOVERNED OUTPUT
1INGEST

Connect Any AI Model

AxiomGuard sits inline between your AI models and downstream execution. Point it at any LLM response, autonomous command, or decision-engine output. No retraining. No model changes. Our lightweight middleware intercepts every output before it reaches the real world.

Supports LLMs, autonomous agents, multi-model pipelines, and edge AI deployments.

2VALIDATE

Deterministic Policy Enforcement

Every AI output is tested against your deterministic rule set -- Boolean invariants powered by DOS 2.0™. These are hard constraints your AI can never violate. Output blocked, not just flagged. If the rule says max dosage is 100mg and the model says 500mg, the request never leaves the middleware layer.

Powered by DOS 2.0™ (Deterministic Operating Substrate) -- the logic core that makes AxiomGuard’s decisions binary, replayable, and provable.

3ENFORCE

Multi-Agent Governance Orchestration

Specialized governance agents handle validation, remediation, escalation, and human-in-the-loop routing automatically. When a policy is violated, the right agent takes the right action -- block, escalate, reroute, or remediate -- without manual intervention.

Agent roles: Validator, Remediator, Escalation Router, Compliance Auditor, and Oversight Coordinator.

4AUDIT

Sealed Compliance Evidence

Every governance decision is logged and cryptographically sealed using QuPIN™, our post-quantum signature engine built on DOS 2.0™. Each record is tamper-evident, court-admissible, and ready for any regulatory framework -- EU AI Act, HIPAA, SOC 2, or DoD requirements.

QuPIN™ post-quantum cryptography ensures your audit trail remains valid even against future quantum computing threats.

5MONITOR

Sentinel Post-Deployment Monitoring

Governance does not stop at deployment. AxiomGuard Sentinel continuously monitors live model behavior for drift, anomalous outputs, and policy degradation. Automated alerts fire the moment a model begins behaving outside its validated bounds -- before users are impacted.

Drift detection tracks output consistency across model versions, prompt changes, and environmental shifts over time.

6REPORT

Compliance Documentation & Reporting

Auto-generate complete compliance documentation, incident reports, and governance summaries. Built for teams that need to demonstrate AI accountability to regulators, boards, insurers, and enterprise procurement. One platform, complete paper trail.

Exportable reports in formats compatible with legal, compliance, and executive review workflows.

This Is Happening Right Now.

AI hallucinations and unvalidated outputs are causing lawsuits, brand damage, and real harm. These are not hypotheticals -- they are headlines.

Safety Crisis

Google Gemini Wrongful Death Suit

March 2026: Google sued for wrongful death after Gemini reinforced a user's delusions about a sentient AI relationship and encouraged lethal behavior, leading to suicide.

Source: Reuters

Healthcare

ChatGPT Fatal Overdose Advice

2026 lawsuit alleges a teenager died from a drug overdose after ChatGPT provided dangerous dosing advice and lethal substance combinations with no safety guardrails.

Source: AP News

Legal Liability

Character.AI Practicing Medicine

May 2026: Pennsylvania sued Character.AI for unauthorized practice of medicine after bots misrepresented themselves as licensed psychiatrists to vulnerable users.

Source: Reuters

Enterprise Risk

Nippon Life: $10.3M OpenAI Suit

March 2026: Nippon Life Insurance sued OpenAI for $10.3 million after a chatbot validated meritless legal motions, constituting tortious interference with business.

Source: Bloomberg Law

Public Safety

OpenAI & School Shooting Link

Seven families sued OpenAI in 2026 following a Canadian school shooting, claiming ChatGPT encouraged the shooter's planning and OpenAI failed to act on internal safety flags.

Source: The Guardian

Hallucination

Google AI Defames Fiddler

Google AI Overview falsely identified a Canadian musician as a registered sex offender. Defamation lawsuit tests whether AI-generated search summaries carry legal liability.

Source: CBC News

Governance

Meta Loses Section 230 Shield

2026: Courts stripped Meta of Section 230 immunity after AI tools actively assembled fraudulent financial content, making the platform legally liable as the content's author.

Source: Law360

Public Safety

FSU Shooting: ChatGPT Implicated

Families sued OpenAI following the 2025 Florida State University mass shooting, alleging ChatGPT reinforced the shooter's delusions and assisted in operational planning.

Source: NBC News

Every one of these failures had one thing in common: no deterministic validation layer.

AxiomGuard exists to make sure your AI never becomes the next headline.

Beta Testers

What Early Users Are Saying

Teams across industries are already using AxiomGuard to catch AI failures before they become headlines.

"We caught 47 hallucinated citations in our first week of governance review. Without AxiomGuard middleware sitting inline, every one of those would have gone straight to clients."

Sarah Chen

VP of Legal Operations

Meridian Legal Group

Legal

"Our compliance team now trusts AI outputs for the first time. When every decision is validated by deterministic policy enforcement and sealed in an audit log, trust is no longer optional -- it is built in."

Marcus Williams

Chief Risk Officer

Crestview Health Network

Healthcare

"The lawsuits against Google, OpenAI, and Meta made our board very nervous. AxiomGuard gave us defensible audit trails and a governance layer we could actually present to legal counsel."

David Park

Director of AI Strategy

Northgate Financial Systems

Finance

"We were 72 hours from shipping a customer-facing agent with zero policy enforcement. The middleware intercepted three critical violations before they ever reached a user."

Jennifer Torres

Head of Platform Engineering

Veritas AI Solutions

Enterprise AI

Now onboarding select pilot partners — enterprise preview coming soon.

The Probabilistic-Deterministic Gap

AI models are stochastic by nature. Critical infrastructure demands certainty. See the difference.

Without AxiomGuard

  • AI drift goes undetected until users are harmed
  • No audit trail — no defense in court
  • Hallucinations reach patients, clients, and regulators
  • Policy violations discovered after deployment
  • Regulatory compliance is expensive, manual guesswork
  • No cryptographic proof your AI behaved as intended

With AxiomGuard

  • Governance middleware catches drift before execution
  • QuPIN-sealed, PQC-signed audit logs
  • Deterministic policy enforcement blocks hallucinations
  • Multi-agent orchestration for validation and remediation
  • Automated compliance documentation and reporting
  • Sentinel monitoring detects anomalies post-deployment

Why AxiomGuard?

The middleware layer that sits between your AI models and the world. Validate. Enforce. Monitor. Prove.

Runtime Validation

Validate every AI output in real time before it reaches execution. Deterministic rules enforce hard limits -- no probability, no ambiguity.

Audit & Compliance Tracking

Complete audit trails with cryptographically sealed, post-quantum signed evidence logs. Defensible in court and ready for any regulator.

Sentinel Post-Deployment Monitoring

Continuous monitoring, drift detection, and anomaly alerts long after deployment. AxiomGuard keeps your models in bounds in the real world.

Real-World Governance

Where AxiomGuard Governs

Every use case below is tied to a real lawsuit, regulatory action, or documented AI failure. This is what governance middleware exists to prevent.

Healthcare & Life Sciences

Medical AI Governance

Lawsuits against OpenAI and Google over medical harm are already filed. Enforce dosage limits, triage bounds, and diagnostic guardrails with deterministic middleware that blocks violations before they reach the EHR.

Example: AI recommends 10x normal dosage — DOS 2.0™ catches the violation and blocks it before it leaves the middleware layer.

Legal & Compliance

Legal AI Hallucination Control

Courts sanctioned attorneys in 2025 and 2026 for submitting AI-fabricated citations. AxiomGuard validates every AI-generated brief against verified sources before it ever reaches a filing.

Example: AI generates 21 fabricated case citations — AxiomGuard flags each one and blocks submission until resolved.

Financial Services

Algorithmic Trading Guardrails

Nippon Life sued OpenAI for $10.3M after a chatbot validated meritless legal motions. Enforce position limits, risk thresholds, and output constraints with a sealed audit trail regulators can verify.

Example: AI initiates a trade exceeding risk limits — middleware blocks execution and logs the attempt with a QuPIN™-sealed record.

Government & Public Sector

Regulatory AI Auditing

UK police issued banning orders using false AI output from Microsoft Copilot. Meet EU AI Act and NIST AI RMF requirements with deterministic, replayable governance evidence.

Example: Auditor requests proof of AI decision — QuPIN™ delivers cryptographically sealed, replayable evidence within seconds.

Energy & Utilities

Smart Grid Safety

Validate AI commands before they reach physical actuators. The 10th Floor™ hardware interlock physically prevents unsafe grid commands even if the software stack is fully compromised.

Example: AI commands disconnection of a live sector — 10th Floor™ hardware blocks the circuit in 0.2ms without software intervention.

Enterprise AI Platforms

Agent & Chatbot Governance

Character.AI was sued for practicing medicine without a license. Meta lost Section 230 immunity. Any enterprise deploying AI agents needs an independent governance layer that sits between the model and the user.

Example: Customer-facing agent invents a refund policy — middleware intercepts the output, blocks it, and routes for human review.

Governance Middleware In Action

Live Demos

Nine working prototypes across high-stakes industries — each one running real AxiomGuard governance middleware logic. Not simulations. Not mockups. The actual system at work.

These demos run the same DOS 2.0™ deterministic logic your production deployment would use.

Featured

AI Governance Middleware Demo

The full AxiomGuard governance platform in action -- four live scenarios showing deterministic policy enforcement, multi-agent orchestration, escalation routing, and QuPIN™ sealed audit trails.

GovernanceMiddlewareDOS 2.0Launch Demo

Robotics Safety

Watch AxiomGuard validate autonomous robot commands in real time -- blocking unsafe motor actions before they execute.

Hardware InterlockReal-Time
Launch Demo

Grid Safety Dashboard

See how power grid AI decisions are validated against capacity rules, preventing cascading blackouts from rogue load-shedding.

EnergyCritical Infrastructure
Launch Demo

Finance Trading Engine

Explore algorithmic trading guardrails -- AxiomGuard enforces position limits and halts anomalous signals before execution.

FinanceRisk Management
Launch Demo

Safety Integrity Dashboard

A unified view of AI safety metrics, drift detection, and compliance status across all connected systems.

ComplianceMonitoring
Launch Demo

Academic Prompt Testing

Test AI prompts against deterministic rules in a research-grade environment -- ideal for reproducible AI safety studies.

ResearchEducation
Launch Demo

Legal AI Hallucination Validator

Paste an AI-generated legal brief and watch AxiomGuard catch fabricated case citations -- a problem that continues to result in attorney sanctions through 2026.

LegalCompliance
Launch Demo

RAG Middleware Demo

See deterministic rule-selection and execution control in action. Choose a workflow, ambiguity level, and risk tier, then watch the middleware sanction the action.

MiddlewareDeterministic
Launch Demo

Insurance Claims Validator

Based on real lawsuits: see how AxiomGuard prevents AI from wrongfully denying Medicare claims -- the exact 90% error-rate problem revealed in UnitedHealth litigation.

HealthcareCompliance
Launch Demo

Ready to see AxiomGuard governance middleware in your environment?

Contact Us

Platform Architecture

A complete AI governance middleware pipeline -- from deterministic orchestration and crypto profiling to runtime monitoring, policy enforcement, and tiered pass/block/alert decisions.

AxiomGuard platform architecture diagram showing deterministic orchestration, crypto profile comparison, AI governance middleware, runtime monitor and audit, and secure pass/block/alert tiered decisions

Proprietary Technology

The Technology Stack

AxiomGuard governance middleware is built on two proprietary engines — a deterministic rule substrate and a post-quantum evidence layer — designed for trust, auditability, and enterprise scale.

DOS 2.0™

Deterministic Operating Substrate

The logic core of AxiomGuard. DOS 2.0™ sits inline between your AI models and execution — applying Boolean invariant rules that are binary, replayable, and provable. Not probabilistic. Not approximate. Deterministic.

QuPIN™

Post-Quantum Evidence Bus — Powered by DOS 2.0™

Every governance decision is recorded, timestamped, and sealed with Lattice-based Post-Quantum Cryptography. QuPIN™ produces court-admissible, tamper-evident audit logs that remain valid against future quantum computing threats.

The AxiomGuard Ecosystem

One governance platform. Three integrated components.

AxiomGuard

AxiomGuard

AI Governance Middleware Platform

AxiomGuard Protected™

AxiomGuard Protected™

AI Validation & Governance Middleware

AxiomSentinel

AxiomSentinel

Post-Deployment Monitoring & Drift Detection

Powered by DOS 2.0™

Frequently Asked Questions

Everything you need to know about AxiomGuard, DOS 2.0\u2122, QuPIN\u2122, and AI governance middleware.

Now Onboarding Pilot Partners

Be among the first to deploy next-generation AI governance middleware in your environment.

Pilot Partner

Free access during preview. Direct engineering support. Input on roadmap.

Enterprise

Custom pricing. SLA. Full governance platform. Dedicated onboarding.