Conscience · Control · Code

Your AI acts.
NukonAI decides
if it should.

AI security middleware that monitors both input and output. Every inference decision passes through a rule-based and context-aware veto gate - audited, before it reaches your users.

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The Gap

AI capability outpaces
AI accountability.

Enterprise AI deployments ship with raw inference-no deterministic controls, no auditability, no veto layer. Security teams are left with dashboards they can't act on and logs they can't trust.

NukonAI sits in the inference path. Not beside it. Both what goes into your AI and what comes out is monitored, filtered through rule-based policies and context-aware analysis, and logged - before and after execution.

Every
AI action evaluated before execution
100%
inference actions logged, immutably
Zero
Trust
between services by default
3C
Conscience · Control · Code

Veto Protocol

The inference
control plane.

Before any AI action executes, it traverses the veto gate. Both the input to your AI and the output are evaluated - through rule-based policies and context-aware filtering. Allow, deny, or escalate - with full tamper-evident audit at every node.

01
⚡
Agent Request
AI agent generates an action or completion. Request is intercepted at the middleware boundary before any execution.
→
02
🔍
Policy Evaluation
Rule-based policies and context-aware filtering work together. Rule engine catches explicit violations; context layer catches semantic and intent-based risks that keywords alone miss.
→
03
✦
Veto Decision
Allow, deny, redact, or escalate to human review. All three outcomes are cryptographically logged with nanosecond timestamps.
→
04
📋
Immutable Audit
Tamper-evident log entry created regardless of veto outcome. CISO-ready audit trail for every AI action in your organization.

Capabilities

Built for security teams
who can't afford
AI surprises.

🛡️
Zero-Trust Inference
No implicit trust between services. Every AI call is authenticated, authorized, and logged - even internal microservice calls.
🔒
Input & Output Monitoring
Monitor both what enters the AI and what it returns. Catch prompt injection, data leakage, and policy violations at both ends of every inference call.
📜
Tamper-Evident Audit Log
Immutable, cryptographically-chained records of every agent action. Meets enterprise compliance requirements out of the box.
⚙️
Rule-Based + Context-Aware
Explicit rule policies catch known violations. Context-aware filtering catches semantic and intent-based risks that keyword rules alone miss. Both layers work in tandem.
🔁
Human-in-the-Loop Escalation
Define threshold conditions that pause AI execution and route decisions to a human reviewer before proceeding.
🗺️
Graphify Dependency Maps
Real-time knowledge graph of your AI agent topology. Visualize trust boundaries, API call chains, and policy coverage at a glance.

Where We Sit

Between your AI
and the real world.

NukonAI lives in the inference path - intercepting every AI action before it executes, with no changes to your existing stack.

YOUR APPLICATION
Agent · Workflow · API call
↓
AI request
NUKONAI
Rule-Based + Context Filtering · Input/Output Monitor · Audit Log
Evaluate Allow / Deny Escalate Log
↓
Allowed
✕
Vetoed
AI MODEL
Any provider · Any model
BLOCKED
Logged · Flagged · Escalated

Principles

Built on a few
non-negotiable beliefs.

Capability
NukonAI
Typical AI tools
Rule-based + context filtering
✓
✗
Immutable audit log
✓
~
Human escalation workflow
✓
~
Explainable policy decisions
✓
✗
Zero-trust between services
✓
✗
Determinism over probability
Security decisions shouldn't be probabilistic. NukonAI's veto gate applies explicit, auditable rules - not another model guess.
Auditability is non-negotiable
Every AI action is logged with tamper-evident records. When something goes wrong, you need to know exactly what happened and why.
Control stays with your team
NukonAI is designed to give security teams meaningful, actionable control over AI behaviour - not just dashboards and alerts.

Use Cases

Where the Veto Protocol
matters most.

Financial Services
AI-Driven Trade Approval
Intercept and audit every AI-generated trade action before execution. Hard veto on policy violations, full escalation path for edge cases.
Healthcare
Clinical Decision Support
AI recommendations pass through a clinical policy gate before surfacing to practitioners - with a clear, auditable decision trail at every step.
Government
High-Assurance AI Deployment
Deploy AI with cryptographic audit trails and deterministic policy gates in environments where accountability is mandatory.
Enterprise IT
Agentic Workflow Governance
Control what your AI agents can read, write, call, and delete. Granular policy rules with real-time human escalation on threshold breach.
Legal / Compliance
Document Review Oversight
Every AI-reviewed document flagged, scored, and logged. Compliance teams get verifiable audit evidence, not just model confidence scores.
Platform Teams
Internal AI Platform Security
Bolt the Veto Protocol onto existing LLM integrations. Works across any model and any deployment environment - designed to adapt to your infrastructure.

Ready to put a veto gate between your AI and your users?

Talk to the team building the Veto Protocol. We're in active MVP - early CISO partners shape the roadmap.

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