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THE GUARDRAIL LAYER FOR HIGH-STAKES AI

The guardrail layer for AI
‍you can't afford to get wrong.

Every foundation model ships its own guardrails. Those guardrails protect the model. Alice protects you, across every model in your stack, every step of every agent, and every regulator you'll have to answer to.

WHAT NATIVE GUARDRAILS  LEAVE ON THE TABLE
Capability Native Foundation-Model Guardrails Alice
Multi-model
policy
Each vendor's taxonomy and thresholds. Portable filters don't share semantics across stacks. One policy across every model: frontier, fine-tuned, on-prem. Unified audit trail.
Agentic workflow
governance
Filters the model call. Tool calls and inter-step data are invisible. Enforcement at every step: prompts, tool calls, retrieved context, downstream actions.
Custom policy
enforcement
Topics, blocklists, PII. Limited and vendor-locked; nuance drifts into system prompts. Your policy enforced at the infrastructure layer. Stable across model updates.
Automated
red teaming
Vendors test the model. Testing your deployed configuration is on you. Continuous, scheduled adversarial testing, with evidence regulators accept.
Compliance
documentation
No EU AI Act, NIST AI RMF, or MITRE ATLAS conformance reporting. You build it yourself. Risk classification, oversight controls, and conformity artifacts generated automatically.
Coverage where
AI lives
Tied to the API you call. SaaS embeds and on-prem sit outside. Cloud, on-prem, multi-cloud, air-gapped, SaaS. 120+ languages, every modality.
WHAT NATIVE GUARDRAILS  LEAVE ON THE TABLE

Customizable, not off the shelf.

Build your own enforcement policies and generate your own adversarial scenarios. Your risk model shapes the system, not the other way around.

Enforcement, not advice.

Policy applied at the platform layer. The difference between asking an employee to follow policy and a compliance system that enforces it.

One layer across every model.

Add a vendor, swap a model, ship a fine-tune. Your policy doesn't change and your audit trail doesn't fragment.

Ongoing red teaming.

Adversarial tests run on a schedule, not a quarter. You find drift the day it starts, not the week before audit.

Built for agents, not just prompts.

Visibility and control across chains, tool calls, and downstream actions where most native systems go dark.

Stable across model updates.

When the vendor ships a new version, your safety posture doesn't quietly change with it.

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