Compliance-Grade Action Audit Infrastructure for AI Agents

This white paper details PlanLang typed plans, the Praeon Kernel, semantic replay, and the governance substrate required to turn AI write-access on safely.

Executive Summary

Praeon pairs typed action plans with a kernel that enforces least-privilege execution. Enterprises gain audit-grade evidence and semantic replay to meet regulator and Big-4 expectations.

PlanLang

PlanLang encodes actor identity, capabilities, constraints, and approvals. Typed scopes and budgets give compliance teams deterministic guardrails.

Kernel Controls

The Praeon Kernel performs pre-flight static checks, enforces policy, and mediates adapters. Human approvals and automated gating guarantee least-privilege writes.

Traces

Operational traces remain encrypted at rest; audit traces are redacted and exportable. Both are replayable to prove semantic equivalence of agent actions.

Compliance Outcomes

Praeon maps to DPDP/GDPR retention, SOX change-management, and EU AI Act Article 12. The white paper outlines controls that pass Big-4 review.