The Decision Engine for AI and APIs

Poligin evaluates every action before it executes—using policies, intent, risk, and context—so you stay in control.

Prompt Engine Policy Risk Eval Decision

The Problem

Modern systems have strong identity and access control. Users authenticate, roles are assigned, and permissions are enforced through RBAC and IAM systems.

But AI systems break this model.

Once a user interacts with an AI agent or automation workflow, the system often executes actions without consistent, enforceable guardrails. Decisions become:

Authentication answers who you are.
Poligin answers what you are allowed to do right now.

From RBAC to Real-Time Decisions

Traditional access control stops at roles. Modern systems—especially AI—require continuous, context-aware decisions.

RBAC (Traditional)

User is authenticated → role is assigned → access is granted.

Static, coarse-grained, no runtime awareness.

AI Systems Today

User interacts → AI executes actions → no consistent guardrails.

Decisions are non-deterministic and hard to audit.

Poligin

User → AI/API → Poligin → decision enforced.

RBAC + ABAC + intent + risk → real-time, deterministic control.

What It Does

Poligin sits between your users, AI systems, and APIs—evaluating every action before execution using policies, intent, and risk.

User → AI/API → Poligin → Allow / Deny

Why Poligin

Deterministic Decisions

No black boxes. Every decision is policy-driven.

RBAC + ABAC + Context

Combine roles, attributes, intent, and runtime signals.

Policy DSL

Define complex conditions and logic.

Explainable

Every decision includes full trace and reasoning.

Advanced Policy Engine

Policy Grouping

critical / override / default execution layers

Strategies

first_match, deny_override, allow_if_any

Overrides

secure override workflows

Replay

re-evaluate past decisions

Live Decision Example

Input: role=admin, risk=0.7 Policy: risk < 0.5 → allow Evaluation: false Decision: DENY