組織が自信を持ってAIを管理、監視、スケールできるよう設計された、EnzaiのAIガバナンス製品のフルスイートをご覧ください。構造化されたインテークや一元化されたAIインベントリから、自動化されたアセスメントやリアルタイムの監視まで、Enzaiはイノベーションを遅らせることなく、日々のAIワークフローにガバナンスを直接組み込むためのビルディングブロックを提供します。

Enzai

AIガバナンス・プラットフォーム

データに基づいた比較

AIガバナンス・プラットフォーム

データに基づいた比較

Enzai ServiceNow

ServiceNow AI Control Tower governs AI from inside the Now Platform, against the CMDB. Enzai does nothing but AI governance: six regulatory regimes ready to use, written by lawyers, and agent actions blocked before they run.

Enzaiと他の製品との違いは何でしょうか。ServiceNow何かご不明な点がございますか?

ServiceNow is a workflow company. AI Control Tower is a module on the Now Platform, and everything about it assumes you already bought the platform underneath. AI agents, models, prompts and datasets are registered against the CMDB and CSDM, the same configuration model ServiceNow uses for IT assets, which ties every AI system to the business services and infrastructure around it.

Enzai does one thing. Finding AI systems, running them through intake, assessing them against compliance frameworks, and keeping agents inside the boundaries set for them. It was founded by lawyers who practiced in this area, and it ships configured, so a compliance officer can run it without learning a platform first. Terms used on this page are defined in our AI governance glossary.

The difference lies in what an AI system is treated as, and who ends up running the program. A configuration item in an IT service model, owned by the platform team and changed by raising a ticket. Or a regulated system with obligations, an owner and a live compliance position, run directly by the people who answer for it.

技術的な仕組み

機能ごとの詳細比較

技術的な仕組み

機能ごとの詳細比較

EnzaiとServiceNow機能面においてどのように比較されますか?

Enzaiと競合他社のガバナンス機能の比較
CapabilityEnzaiServiceNow
規制動向の先読みSix regimes ready on day one: EU AI Act, ISO 42001, NIST AI RMF, GDPR, Colorado SB 26-189 and Singapore AI Verify. Written and updated by qualified lawyers, so a change in the law is a library update rather than a project.Three published content packs: EU AI Act, NIST AI RMF and US state regulations. No ISO 42001, the certifiable standard your own customers are starting to demand. No GDPR. Anything past the three is yours to build in the workflow engine.
ポリシー・ライフサイクル管理Built around the AI system itself: purpose, owner, risk tier, autonomy level and the obligations attached to it. The data model is the regulation.AI registered against the CMDB and CSDM, the configuration model built for IT assets. An AI system becomes a configuration item with attributes hung off it, which is not the shape a regulator asks about.
リスクとコントロールのマッピングObligations mapped down to individual controls, risks and the named team accountable for each, out of the box.Compliance gates configured on the Now Platform through ServiceNow GRC. The mapping from obligation to control to accountable owner starts empty, and building it is a platform project with a platform team attached.
モデルインベントリのガバナンスFive discovery methods run in parallel, so no single signal decides what gets found, including AI shipped inside tools nobody bought as AI.Auto-discovery into an inventory tied to the CMDB. Coverage is bounded by the connectors into the Now Platform, and ServiceNow does not publish how many detection methods it runs or what they cover.
監査に対応可能なエビデンス・トレイルRequests auto-tier on submission and route only to the reviewers that tier needs. Ships configured, and every step is editable when a business unit needs its own rules.Configurable governance workflows. It is a workflow engine, so tiering and thresholds start empty. Every reviewer you involve needs a ServiceNow seat and a reason to log into a service management platform.
部門横断的なワークフローEvidence captured once and reused across all six frameworks. The trail surfaces on demand for an assessor, auditor or regulator.Audit logging held in the Now Platform record model, against the three published packs. Evidence gathered for one regime does not carry to a regime ServiceNow has not shipped.
継続的なコンプライアンス監視A live compliance score per system, per framework, recalculated the moment evidence lands.Automated, auditable compliance gates. ServiceNow does not publish a continuously recalculated compliance score per system per framework, so between gates the answer is the last gate.
取締役会レベルのガバナンス報告Enforcement at the action layer, whatever the agent is built on. Unsanctioned tool calls blocked at the boundary before they execute, autonomy tiered per agent, recursion capped across handoffs.An AI Gateway giving real-time controls over Model Context Protocol transactions. Enforcement reaches what passes through that gateway. An agent acting over a direct API call, an SDK or an internal framework is outside it, and ServiceNow does not publish autonomy tiering or action-layer blocking.

Six regimes against three. An obligations model against a configuration model. Enforcement at the action against enforcement at one protocol.

There is a tell in what AI Control Tower measures. Containment rate, cost per ticket, mean time to resolution. Those are service desk metrics, and they are the right metrics for the product ServiceNow actually built. They are not what a board asks about a regulated AI estate.

The question underneath the table is simpler still. AI Control Tower is a module on a platform your IT organization bought for service management. AI governance is legal, risk and compliance work. Ask who would actually be logging in.

There is a cheap way to settle the discovery row. Run it on your own environment with both and count what comes back that nobody had declared. We wrote up how that usually goes in our guide to shadow AI discovery.

戦略的意義

Enzaiが選ばれる理由

Enzaiがより適しているケース

AI Control Tower gives IT a view of the AI estate inside the Now Platform. Enzai gives legal, risk and compliance a program they can run.

An AI system is not a configuration item

AI Control Tower registers AI against the CMDB, the model ServiceNow uses for IT assets. That is useful for knowing what a system connects to. It is not the shape a regulator asks about, and the gap shows up the first time somebody has to evidence a classification.

Built around obligations

Classification you can defend

Owned by the people accountable

顧客サポートチケット分類

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年11月7日

リクエストされた者: Enzai

レビュアー:

自動契約リスクレビュー

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年7月7日

リクエストされた者: Enzai

レビュアー:

販売予測と需要予測

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年8月18日

リクエストされた者: Enzai

レビュアー:

従業員履歴書選別アシスタント

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年6月19日

リクエストされた者: Enzai

レビュアー:

マイクロソフト

表示

3製品

Enforcement that is not scoped to one protocol

ServiceNow publishes an AI Gateway giving real-time controls over Model Context Protocol transactions. Agents do not only act over MCP. An agent calling an API directly, running through an SDK, or built on an internal framework never touches that gateway, and whatever the gateway does not see, it does not stop.

Blocked at the boundary

Autonomy set, not discovered

Evidence per attempt

What keeps a program running once the inventory exists

Discovery and agent control get a program started. What keeps it going is more ordinary. Regulations move. The business has to route AI through governance rather than around it. Evidence has to appear without a fire drill. Enzai covers the EU AI Act, ISO 42001, NIST AI RMF, GDPR, the US state regimes and Singapore AI Verify, and ships configured, so the first program runs on defaults rather than a build project.

1

Live compliance posture

A score per system, per framework, recalculated as evidence lands. You can see where a system stands today without running an assessment cycle first.

1

Live compliance posture

A score per system, per framework, recalculated as evidence lands. You can see where a system stands today without running an assessment cycle first.

2

Risk-calibrated intake

Requests are tiered on submission by use case, data sensitivity and autonomy, then routed only to the reviewers that tier needs. Low-risk use cases stop queueing behind high-risk ones.

2

Risk-calibrated intake

Requests are tiered on submission by use case, data sensitivity and autonomy, then routed only to the reviewers that tier needs. Low-risk use cases stop queueing behind high-risk ones.

3

Evidence captured once

One assessment covers several frameworks. The trail is available on demand for an assessor, auditor or regulator.

3

Evidence captured once

One assessment covers several frameworks. The trail is available on demand for an assessor, auditor or regulator.

戦略的意義

Enzaiが選ばれる理由

Enzaiがより適しているケース

AI Control Tower gives IT a view of the AI estate inside the Now Platform. Enzai gives legal, risk and compliance a program they can run.

An AI system is not a configuration item

AI Control Tower registers AI against the CMDB, the model ServiceNow uses for IT assets. That is useful for knowing what a system connects to. It is not the shape a regulator asks about, and the gap shows up the first time somebody has to evidence a classification.

Built around obligations

Classification you can defend

Owned by the people accountable

顧客サポートチケット分類

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年11月7日

リクエストされた者: Enzai

レビュアー:

自動契約リスクレビュー

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年7月7日

リクエストされた者: Enzai

レビュアー:

販売予測と需要予測

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年8月18日

リクエストされた者: Enzai

レビュアー:

従業員履歴書選別アシスタント

ドラフトユースケース

5 つのリクエストされた AI ソリューション

リクエスト日: 2026年6月19日

リクエストされた者: Enzai

レビュアー:

マイクロソフト

表示

3製品

Enforcement that is not scoped to one protocol

ServiceNow publishes an AI Gateway giving real-time controls over Model Context Protocol transactions. Agents do not only act over MCP. An agent calling an API directly, running through an SDK, or built on an internal framework never touches that gateway, and whatever the gateway does not see, it does not stop.

Blocked at the boundary

Autonomy set, not discovered

Evidence per attempt

What keeps a program running once the inventory exists

Discovery and agent control get a program started. What keeps it going is more ordinary. Regulations move. The business has to route AI through governance rather than around it. Evidence has to appear without a fire drill. Enzai covers the EU AI Act, ISO 42001, NIST AI RMF, GDPR, the US state regimes and Singapore AI Verify, and ships configured, so the first program runs on defaults rather than a build project.

1

Live compliance posture

A score per system, per framework, recalculated as evidence lands. You can see where a system stands today without running an assessment cycle first.

2

Risk-calibrated intake

Requests are tiered on submission by use case, data sensitivity and autonomy, then routed only to the reviewers that tier needs. Low-risk use cases stop queueing behind high-risk ones.

3

Evidence captured once

One assessment covers several frameworks. The trail is available on demand for an assessor, auditor or regulator.

信頼できるAIガバナンスを構築する準備はできていますか?

Enzaiがどのようにして、AIのインベントリ、リスク、コンプライアンス、およびエビデンスを管理する単一のオペレーティングレイヤーをチームに提供するのかをご覧ください。

AIガバナンスの承認ワークフローを表現した、温かみのあるフロストガラス(曇りガラス)調のインターフェース・ビジュアル。

AIガバナンス・レビュー

審査中

レビュー完了

0%

証拠を収集済み

コントロールをマッピング済み

レビュー準備完了

コントロールのマッピングが完了しました

0 / 8

承認待ちキュー

法務

準備完了

リスク

確認中

公正な評価

代替ソリューションが最適となるケース

公正な評価

代替ソリューションが最適となるケース

〜の際、ServiceNowのほうが、より優れた選択肢です。

Your AI estate only involves a couple of systems

If the agents you are governing are ITSM agents running inside the Now Platform, and the metrics that matter are containment rate, cost per ticket and mean time to resolution, AI Control Tower measures exactly that. That describes fewer estates every quarter.

ビジネスの現実

コスト、スコープ、および価値

ビジネスの現実

コスト、スコープ、および価値

Enzaiの最適な対象読者

The people accountable for AI governance do not live in ServiceNow

AI governance is legal, compliance and risk work. In most organizations those teams have no reason to be in a service management platform, and putting the program there means licenses, training and a dependency on the platform team for changes. Enzai includes unlimited users at every tier and ships in a form a compliance officer can use on day one.

You answer to ISO 42001 or GDPR

ServiceNow publishes content packs for the EU AI Act, NIST AI RMF and US state regulations. ISO 42001 is the certifiable AI management standard enterprise buyers increasingly ask vendors for, and it is not among them. Enzai ships it alongside GDPR, Colorado SB 26-189 from January 2027, and Singapore AI Verify, with evidence captured once and reused across all of them.

Agents are in production on more than one stack

Enzai enforces at the action layer regardless of what an agent is built on or routed through. If your agents run across Azure, Bedrock, Vertex, an internal framework and whatever a business unit stood up last quarter, enforcement has to follow the action rather than the traffic path. We set out what agentic AI governance has to cover.

The program has to survive contact with the business

Governance tools usually fail on adoption, not capability. Enzai ships with the workflows already configured, so a first program runs on what comes out of the box. Underneath that, forms, approval routing, risk templates and framework logic are all configurable, so a global estate with a dozen business units and conflicting sign-off rules bends the platform to fit instead of the other way round. Enzai has also held ISO 27001 since 2023, audited annually by NQA.

移行へのステップ

移行に関する留意事項

移行へのステップ

移行に関する留意事項

~からの移行ServiceNow

Most organizations moving AI governance off AI Control Tower keep ServiceNow for everything else. ITSM, HR, security operations and the CMDB all stay exactly where they are. One workload moves.

The work is exporting the AI asset inventory and rebuilding assessments against the frameworks in scope. Expect the register to grow on arrival, because discovery finds systems that were never in the CMDB. The bigger change is organizational rather than technical: the program moves from the platform team to legal, risk and compliance, which is usually the point of moving it. SSO through Microsoft Entra and SCIM provisioning keep access tied to the identity groups you already maintain.

One thing worth asking every vendor on your list (including us) is what does an export actually contain? Assessment history and supporting evidence, or only the current state of each record. Our compliance frameworks library covers what a register needs to hold.

研究の根拠

情報源と検証

研究の根拠

情報源と検証

情報源と検証

本比較における主張を裏付ける、参考文献および検証日の一覧です。

Claims about ServiceNow come from ServiceNow's published product documentation and announcements on the dates above. Where this page says ServiceNow does not publish something, that means it was not documented publicly on that date, not that it does not exist. Neither company publishes list pricing and this page makes no claim about either. Corrections welcome.

最終更新日:

競合他社情報の最終確認日:

安全なAIガバナンスの情報フローを表現した、抽象的な琥珀色のガラスのテクスチャ。

確実なAIガバナンスの意思決定を導く、明確な解答を。

ServiceNow比較に関するよくある質問

Yes. AI Control Tower is built on the ServiceNow AI Platform and registers AI assets against the CMDB and CSDM, so it assumes the Now Platform underneath it. That suits organizations already standardized on ServiceNow. It also means the legal, compliance and risk teams accountable for AI governance have to work inside a service management platform. Enzai is standalone, includes unlimited users at every tier, and ships configured.

ServiceNow publishes an AI Gateway giving real-time controls over Model Context Protocol transactions, alongside agent discovery and an inventory tied to the CMDB. Enzai enforces at the action layer whatever the agent is built on: unsanctioned tool calls are blocked at the boundary before they execute, each agent is tiered by permitted autonomy, and recursion is capped across agent-to-agent handoffs. The practical difference is scope. Gateway enforcement covers what passes through the gateway.

ServiceNow publishes governance content packs for the EU AI Act, NIST AI RMF and US state regulations such as the California AI Transparency Act. ISO 42001, the certifiable AI management system standard, is not among the published packs, and neither is GDPR. Enzai ships both alongside the EU AI Act, NIST AI RMF, Colorado SB 26-189 and Singapore AI Verify, with evidence captured once and reused across every framework in scope.

The market splits in two. Enterprise platforms with an AI governance module, including ServiceNow, OneTrust and IBM watsonx.governance, suit organizations extending a system they already run. Dedicated AI governance platforms, including Enzai, are built only for AI and go deeper on regulatory coverage, discovery and agent enforcement. The deciding question is usually whether AI governance is a workflow you are adding to an existing platform or the problem you are solving.

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AI

AI

インフラストラクチャ

インフラストラクチャ

信頼を構築するために設計されています。

信頼を構築するために設計されています。

組織がAIを採用し、管理し、監視する能力を、企業レベルの信頼性で強化します。規模で運営する規制対象の組織向けに構築されています。

既存のシステム、ポリシー、AIワークフローを、すべて1つの統合プラットフォームでシームレスに接続します。

既存のシステム、ポリシー、AIワークフローを、すべて1つの統合プラットフォームでシームレスに接続します。