厳しい監査にも耐えるエビデンス(証跡)

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要件から結果までのトレーサビリティ

要件、テストケース、テスト実行、テスト結果をつなぎ、すべてのエビデンスを、それが満たす要件までさかのぼれるようにします。

The world's most advanced testing harness

The engineering underneath: independent, reliable, resilient.

  • Per-task LLM routing

    The best model for each testing job. You don't need to worry about upgrades, prompt rewrites, version pinning, or evals.

  • Reliable tools for your agent

    An MCP for the full testing loop. Broad tool coverage, progressive disclosure, idempotent writes, token-efficient, streaming with keepalive, OAuth.

  • Self-healing off a model, not a selector

    Every element is modeled as dozens of weighted attributes, so a page change re-identifies it by best overall match, falling back to locating it visually when attributes aren't enough.

  • Structural objectivity

    An LLM told to make a test pass will edit the DOM or weaken the assertion to get there. mabl runs your deployed app in a real browser, in a separate context, and checks it against assertions you defined separately.

  • Your intent, translated

    You describe what to test and set your guardrails; mabl's tuned metaprompts turn that into the structured instructions the agent runs on, scoped per agent with mabl's own guardrails winning on conflict. You get an effective agent without prompt-engineering it yourself.

  • Deterministic first, LLM when needed

    Cheap deterministic locators run first; the model engages only when they fail. More efficiency, lower cost, faster.

構造化され、明快で充実したエビデンス(証跡)

すべてのテストステップで、スクリーンショット、DOMスナップショット、ネットワークログ、判断の根拠を保持。タイムスタンプはお客様の管理外のインフラによって記録され、成功・失敗にかかわらず一定期間保持されます。

エージェントのすべての行動を可視化し、コントロール

テストや品質保証のプロセスでエージェントが関わるあらゆる場面で、判断・行動・その根拠を明確に説明します。


監査担当者が求めるものを、すぐに用意

自社でエビデンスを集める場合

mablがエビデンスを集める場合

エビデンスに偏りがある。

エビデンスが客観的。

監査時に集めるため、エビデンスが浅い。

テスト実行と同時に記録するため、エビデンスが充実。

エビデンスが規制要件に準拠していない。

記録が完全にそろう。

AIの動きがブラックボックス。

エージェントのすべての行動に説明がある。

エビデンスとテストケースを手作業で紐付け。

要件と結果が直接つながる。

独立したレビューで、エビデンスを継続的に記録

mablはコードの作成者とは独立してアプリを検証し、実行中のすべてのステップを記録します。そのため、エビデンスは完全で、改ざんされにくく、そのまま監査に使えます。

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テストライフサイクル全体を通じたエビデンスとトレーサビリティ

Frequently Asked Questions

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What is a requirements traceability matrix?

A requirements traceability matrix maps each requirement to the test cases that verify it and the results of those tests. It shows teams and auditors what’s covered and what isn’t. mabl connects requirements, test cases, runs, and results, so that link holds as tests run.

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How do you create a requirements traceability matrix?

List each requirement, link the test cases that cover it, then record each run’s result and evidence. Spreadsheet matrices drift out of date quickly. mabl keeps a direct link from requirement to result, so traceability is maintained as tests run instead of connected by hand.

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What is independent verification and validation?

Independent verification and validation is testing performed by a party separate from the one that built the software. In agentic development, the author cannot be the verifier. mabl verifies your application separately from the code’s author and records every step as it runs.

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How do you keep an audit trail of AI agent actions?

Record what each agent did, why it did it, and what happened, alongside the test evidence itself. mabl explains the decisions, actions, and rationales wherever agents play a role in your quality system, so reviewers can trace every agentic action.

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What is compliance testing?

Compliance testing verifies that software meets regulatory, security, or internal standards, and documents proof that it does. The documentation matters as much as the result. mabl captures audit-ready evidence as tests run, including screenshots, DOM snapshots, and network logs, kept permanently.