FOR CHIEF INFORMATION SECURITY OFFICERS

No Override. No Compensations. Fail-Closed.

LUIPM is fail-closed by default on every action class. Integrity-Flux monitors reasoning drift in real time. Prompt injection that corrupts reasoning state cannot unlock the gateway.

THE THREAT MODEL

Why AI Security Is Different

Prompt Injection

Attackers can inject instructions into AI inputs. The model may reason that the injected instruction should be executed. Without an external enforcement boundary, the injected action fires.

Reasoning Drift

As models are fine-tuned or encounter adversarial inputs, their reasoning may shift. The model may generate actions that violate your security policies.

Model Compromise

If a model is stolen, fine-tuned, or poisoned, it may generate harmful actions. Without an enforcement boundary, there is no protection.

Supply Chain Risk

Third-party AI models may have hidden behaviors. Your policies cannot control what you do not know about.

THE DEFENSE

LUIPM as a Runtime Security Layer

🔒 Fail-Closed by Default

If any predicate fails, the action is blocked. No compensations. No human override. Γ > 0 means SAFE_STATE.

📊 Integrity-Flux Monitoring

I_φ tracks drift in reasoning patterns. If the model's behavior is changing, the predicate tightens automatically. Suspicious reasoning gets blocked earlier.

🎯 Predicate-Bounded IAM Scope

Each action class has its own predicate set. Privilege creep cannot happen because each action is independently gated.

🚫 Prompt Injection Defense

An injected instruction that corrupts model reasoning increases I_φ. The model's credibility score drops. Subsequent actions face stricter predicates.

⛓️ Causal Independence

The model cannot grant its own permit. The AI is sandboxed from the enforcement boundary. Even if the model is compromised, it cannot override LUIPM.

DETECTION & ALERTING

See Threats Before They Become Incidents

Real-Time Denial Spikes

When predicate failures spike, you get alerts. A sudden increase in denials may indicate a prompt injection attack or model drift.

I_φ Drift Detection

Integrity-Flux trending upward signals reasoning instability. You can take defensive action before the model goes rogue.

Action Type Anomalies

New action types emerging? Actions targeting unusual resources? Lakhowal flags them for SecOps review.

Compliance Violations in Real Time

If an action violates your policies, you know immediately. Not tomorrow. Not after the regulator calls. Now.

ARCHITECTURE

Where LUIPM Sits in Your Stack

Option 1: Inline Gateway

LUIPM sits in-path. Every action is evaluated. Fail-closed enforcement.

Option 2: SDK-Wrapped

Your application wraps AI action calls. LUIPM intercepts and evaluates locally.

Option 3: Shadow Mode (Testing)

Non-blocking observer. See what permits would be issued without affecting production.

Option 4: Air-Gapped

No outbound calls. LUIPM runs in your VPC with no external dependencies.

Ready to Defend AI?

Shadow Mode gives you real-time visibility into what LUIPM would block. No code changes. No production risk. Five to ten days to deploy.

Start Shadow Mode Today