Plaw provides a runtime authority layer that intercepts AI‑generated intents and translates them into deterministic, policy‑enforced API calls, ensuring only authorized actions reach enterprise systems.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying autonomous AI agents often connect these probabilistic models directly to critical internal APIs, creating an “execution gap” where actions are performed without explicit authorization. This can lead to unauthorized changes, data breaches, service outages, and compliance violations.
Solution
Plaw acts as a runtime authority layer that intercepts AI‑generated intents and translates them into deterministic, policy‑enforced API calls. Before any action is executed, the platform evaluates the request against configurable governance rules, role‑based permissions, and safety checks, ensuring only authorized operations reach production systems. By providing pre‑execution authorization, Plaw prevents harmful or non‑compliant actions while preserving the flexibility of autonomous agents. The system integrates with existing enterprise IAM and API management tools, delivering a seamless bridge between AI decision‑making and secure infrastructure control.
Target Audience
Primary customers are large enterprises and SaaS providers that embed autonomous AI agents into their operational pipelines, including cloud infrastructure teams, DevOps organizations, and regulated industries such as finance and healthcare.
Features
- Real‑time intent translation from AI model outputs to concrete API requests
- Policy engine with customizable rules for authorization, compliance, and cost controls
- Integration hooks for existing IAM, RBAC, and API gateway solutions
- Audit logging and traceability of all AI‑initiated actions for post‑event analysis
- Fail‑safe mechanisms that block or quarantine high‑risk operations before execution
- Extensible SDK for embedding the authority layer into any enterprise AI workflow