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Zelta

Free
★ 1 • Updated Jul 27, 2026, 09:13 PM

Zelta provides an AI Safety Gateway called ApprovalLayer that helps autonomous AI agents safely execute high-impact actions using policies, hybrid AI risk classification, human approvals, audit trails, and execution tokens.

Use Cases ▼
01

Safely execute financial refunds by AI agents

02

Control access to production data and secrets

03

Ensure compliance for autonomous agent actions

04

Add human approval for high-risk AI decisions

05

Audit all agent actions for forensics

06

Prevent replay attacks with execution tokens

What Problem It Solves ▼

Autonomous AI agents can execute high-impact actions like mutating production data, accessing secrets, or changing permissions without a deterministic gate between intent and execution. Zelta solves this by providing a pre-execution gateway that evaluates actions against policies, risk signals, and human approvals, ensuring only authorized and reviewed actions are executed with audit trails and single-use tokens to prevent replay.

Key Features ▼
✓

Deterministic policy engine

✓

Hybrid AI risk classification

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Immutable audit trails

✓

One-time execution tokens prevent replay

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Easy API integration

Overview

Zelta provides an AI Safety Gateway called ApprovalLayer that helps autonomous AI agents safely execute high-impact actions using policies, hybrid AI risk classification, human approvals, audit trails, and execution tokens. It ensures that agent actions are proposed, evaluated by policy engines, risk classifiers, reviewed by humans if needed, and then executed with a one-time token to prevent replay. The platform integrates with AI agents via HTTP API, offering features like deterministic policy rules, hybrid AI risk classification (shadow, hybrid, enforce modes), human review queues with SLAs, immutable audit logs, and notifications. It is designed for enterprise controls, giving teams visibility and control over agent actions before execution, ensuring compliance and security. The architecture centralizes proposal, policy, risk, review, token issuance, audit, and notifications without replacing the agent runtime. Developers can integrate in minutes using simple API calls.

Pros & Cons

Pros

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Deterministic policy engine

+

Hybrid AI risk classification

+

Immutable audit trails

+

One-time execution tokens prevent replay

+

Easy API integration

Cons

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Limited to 1,000 API calls/month on free tier

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Not self-hostable

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No open-source version mentioned

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Dependent on third-party cloud hosting

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May introduce latency for real-time agent actions

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