assay logo
assay
★ 13
vs
centian logo
centian
★ 15

assay vs centian

assay: Assay provides an open, recomputable evidence profile for privileged AI agent tool actions, enforcing policies deterministically and fail-closed. It records decisions, observations, and unproven claims into tamper-evident bundles for offline verification and security auditing.; centian: Centian is a crucial layer sitting between AI agents and the systems they interact with, providing security, observability, and control. It captures every agent action, enforces allowed behaviors, and verifies execution against predefined contracts to mitigate risks in production environments.

01

TL;DR

assay logo
assaySecurity & Safety · ★ 13

Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.

centian logo
centianSecurity & Safety · ★ 15

Deploy agents in production safely by mitigating risks.

02

Side-by-Side Comparison

Field
assay logoassay
centian logocentian
Category
Security & Safety
Security & Safety
Stars
★ 13
★ 15
License
MIT
Apache-2.0
Install Command
curl -fsSL https://getassay.dev/install.sh | sh
curl -fsSL https://raw.githubusercontent.com/T4cceptor/centian/main/scripts/install.sh | bash
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
AI Agent Security, Tool Call Enforcement, Evidence Auditing
AI Agent Security, Agent Observability, Runtime Enforcement
03

Features

assay logoassay
01Deterministic, fail-closed policy enforcement for tool calls, including optional kernel-level enforcement on Linux.
02Generates offline-verifiable, tamper-evident evidence bundles for audit and replay, integrated with CI without a hosted backend.
03Classifies claims by their trust basis (verified, self_reported, inferred, absent) to ensure honesty and prevent claims from exceeding observed facts.
04Policy gate (`assay mcp wrap`) for pre-execution allow/deny decisions on privileged tool calls, with clear reasons.
05Integrates with CI/CD pipelines via GitHub Actions and SARIF, enabling policy gates on pull requests and security-tab integration.
centian logocentian
01Audit trail & observability: Understand what your agents did — and why.
02Realtime context & action guard: Centian governs what enters and leaves the agent's context bidirectionally at runtime.
03Verified execution: Confirm your agents are doing what you actually approved.
04Blast radius management: Exclude catastrophic scenarios by design.
04

Use Cases

assay logoassay
↳Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.
↳Processing Promptfoo JSONL output from CI evaluations to produce evidence receipts and verified bundles.
↳Auditing and enforcing policies on MCP (Multi-Modal Command Protocol) tool calls, providing an allow/deny audit trail and observed-behavior evidence.
↳Implementing GitHub PR gates based on Trust Basis diffs and policy status, with SARIF/JUnit-ready output.
↳Generating inventory receipts and verified bundles from CycloneDX ML-BOM model components for model inventory and provenance.
centian logocentian
↳Deploy agents in production safely by mitigating risks.
↳Monitor running agents to quickly notice if something goes wrong.
↳Audit AI decisions for compliance and accountability.
↳Prevent agents from performing destructive actions on critical systems.
FAQ

FAQ

What is the difference between assay and centian?
Both assay and centian are in the Security & Safety category. assay has 13 stars, while centian has 15 stars.
Which is better, assay or centian?
The best choice depends on your use case. Choose assay if Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests., and centian if Deploy agents in production safely by mitigating risks..
Is assay free or open source?
Yes, assay is open source on GitHub (MIT).
Is centian free or open source?
Yes, centian is open source on GitHub (Apache-2.0).
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