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January 13, 2026

クラウドセキュリティが本当に重要な場所はランタイム:検知、フォレンジック、リアルタイムアーキテクチャ認識の重要性

クラウドセキュリティはこれまで予防、ポスチャ管理、設定にかなりの重点が置かれてきました。しかし実際の攻撃はそこでは発生しません。 攻撃はランタイムにおいて、稼働中のワークロードやアイデンティティにわたって進行していきますが、そこでは可視性が限られており証拠が短時間で消滅します。 このブログではランタイムが保護すべき最もクリティカルなレイヤーである理由、動的なクラウドの挙動を攻撃者がどのように悪用しているか、なぜポスチャベースだけでは不十分かを紹介します。
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Adam Stevens
Senior Director of Product, Cloud | Darktrace
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13
Jan 2026

はじめに:予防からランタイムへ重点をシフト

クラウドセキュリティは過去10年間予防に的を絞ってきました。コンフィギュレーションを厳格にし、脆弱性をスキャンし、CNAPP(Cloud Native Application Protection Platforms)を通じてベストプラクティスを適用することです。これらの機能も引き続き重要ではありますが、クラウド攻撃が発生するのはそこではありません。

攻撃はランタイムに発生します。それは動的かつ短命な、絶えず変化する実行レイヤーであり、そこではアプリケーションが実行され、権限が付与され、アイデンティティが機能し、ワークロード間の通信が発生します。また、ランタイムは防御者にとってこれまで可視性が最も限られ 、対応に使える時間が最も少ないレイヤーでもあります。

現在の脅威ランドスケープでは抜本的なシフトが求められています。今やクラウドリスクを軽減するには、ポスチャやCNAPPのみの静的なアプローチを超えて、さまざまなワークロードおよびアイデンティティにわたるリアルタイムのビヘイビア検知を行うとともに、フォレンジック用の証拠を自動的に保全する必要があります。防御者に必要なのは、組織のクラウド環境の「正常」についての継続的な、リアルタイムの理解と、膨大なデータストリームを処理して攻撃者による動作の発生を示す逸脱を見つけだすことのできるAIです。

ランタイム:攻撃が発生するレイヤー

ランタイムは動いているクラウドです — コンテナが開始/停止され、サーバーレス関数が呼び出され、IAMロールが割り当てられ、ワークロードが自動スケールし、数百のサービス間をデータが流れています。また、攻撃者が次を行うところでもあります:

  • 盗まれた認証情報を武器化
  • 権限を昇格
  • プログラムによるピボット
  • 悪意ある計算リソースのデプロイ
  • データを改ざんあるいは抜き出し

問題は複雑です:ランタイム証拠は短命だからです。コンテナは消滅し、重要なプロセスデータは数秒で消失します。人間のアナリストが調査を始めるころには、アラートを理解し対応するために必要なデータは、既になくなっていることがしばしばです。この揮発性によりランタイムは監視が最も困難なレイヤーでああるとともに、保護すべき最も重要なレイヤーでもあります。

Darktrace/ CLOUDがランタイム防御にもたらすもの

Darktrace / CLOUD はクラウド実行レイヤーのために開発されたツールです。攻撃の数時間後あるいは数日後ではなく、その進行と同時に検知、封じ込め、理解するのに必要な機能を統合しています。その価値を定義する要素は4つあります:

1. ビヘイビアベースの、リアルタイム検知

クラウドサービス、アイデンティティ、ワークロード、データフローに渡る通常のアクティビティを学習し、シグネチャが存在しなくても、実際の攻撃者の挙動を示す異常を見つけ出します。

2. フォレンジックレベルのアーチファクトを自動収集

Darktraceは脅威を検知したその瞬間に、揮発性のフォレンジック証拠をキャプチャします。エフェメラルリソースからのデータを含め、ディスク状態、メモリ、ログ、プロセスコンテキストを自動的に保全します。これにより、ワークロードが停止し証拠が消える前に何が起こったかについての真実を記録することができます。

3. AI主導の調査

Cyber AI Analystはクラウドの動作を、理解しやすいインシデントストーリーにまとめ、アイデンティティの挙動、ネットワークの流れ、クラウドワークロードの動作を相関付けます。アナリストは個別のダッシュボード間を移動したり、タイムラインを人手で再構築したりする必要がなくなります。

4. リアルタイムのアーキテクチャ認識

Darktraceはクラウド環境の動作状況を継続的にマッピングします。これにはサービス、アイデンティティ、接続、データの経路が含まれます。このリアルタイムの可視性により異常が明確に識別でき、調査が劇的に加速します。

これらの機能が統合され、ランタイム第一主義のセキュリティモデルが構築されています。

CNAPPだけでは不十分な理由:

CNAPPプラットフォームは、デプロイメント前のチェックから開発者ワークステーションまで、設定ミスの発見、問題のある権限の組み合わせ、脆弱なイメージ、リスクの高いインフラの選択などを特定するのに優れています。しかしCNAPPのカバーする範囲の広さは、その限界にもなります。CNAPPは体制を管理するものです。ランタイム防御は動作を問題にしています。

CNAPPは問題が起こる可能性を教えてくれますが、ランタイム検知は今現在どんな問題が起こっているかを知らせます。

短命な証拠を保全する、動作をドメイン間で相関付ける、あるいは実際のインシデント発生中に必要な精度とスピードをもって攻撃を封じこめるといったことは、CNAPPには不可能です。予防も不可欠ですが、予防だけでは、既にクラウド環境内で活動している攻撃者を阻止することはできないのです。

実際にAWSで発生したシナリオ:ランタイム監視が有効な理由

Darktrace / CLOUDが最近検知したあるインシデントは、クラウド侵害の進行の様子と、ランタイム可視性が必要絶対条件である理由を示す好例です。以下に紹介するすべてのステップは、動作をリアルタイムに監視している場合にのみ可能な検知を表しています。

1. 外部での認証情報の使用

検知: 通常とは異なる外部ソースの認証情報使用:攻撃者がこれまでに見られたことのない場所からクラウドアカウントにログインします。これはアカウント乗っ取りの最も早い兆候です。

2. AWS CLIピボット

検知: 通常とは異なるCLIアクティビティ:攻撃者はプログラムによるアクセスに切り替え、疑わしいホストからコマンドを発行することで自動化し、同時にステルス性も獲得します。

3. 認証情報の操作

検知: 稀なパスワードのリセット:新たなパスワードをリセット、割り当てることにより、永続性を確立し既存のセキュリティコントロールをすり抜けます。

4. クラウド偵察

検知: 大規模なリソースディスカバリ:攻撃者はバケット、ロール、サービスの列挙を行い、高価値なアセットを識別して次のステップの計画を立てます。

5. .権限昇格

検知: 異常なIAM更新:許可のないポリシー更新またはロール変更により、攻撃者に高いアクセス権限やバックドアを与えます。

6. 悪意ある計算リソースのデプロイ

検知: 通常と異なるEC2/Lambda/ECS 作成:攻撃者はマイニング、水平移動、またはさらなるツールのステージングのための計算リソースをデプロイします。

7. データアクセスまたは改ざん

検知: 通常と異なるS3変更:攻撃者はS3権限またはオブジェクトを変更します。多くの場合データ抜き出しまたは破壊の前段階です。

ポスチャスキャンではこれらのアクションの一部しか発見できず、しかも事後になります。
これらすべてのランタイム検知は、攻撃が進行している間のリアルタイムの動作監視によってしか可視化できません。

クラウドセキュリティの未来はランタイム第一主義

クラウド防御はもはや予防だけを中心にすることはできません。現代の攻撃は、高速に変化するワークロードやサービス、そして — きわめて重要な — アイデンティティが複雑に入り組んだ、ランタイムで進行します。リスクを軽減するには、悪意あるアクティビティが発生次第、短命な証拠が消失し攻撃者がアイデンティティレイヤーを移動する前に、それを検知、理解、封じ込める能力が必要です。

Darktrace / CLOUD はクラウドで最も揮発性かつ重大な結果を伴うランタイムに対し、動作ワークロードアイデンティティに対する一元的な可視性を通じて、完全に防御可能なコントロールポイントに変えることによりこのシフトを実現します。Darktrace / CLOUDは以下を提供します:

  • リアルタイムビヘイビア検知: ワークロードおよびアイデンティティのアクティビティ
  • 自律遮断: アクションによる迅速な封じ込め
  • 自動的なフォレンジックレベル証拠: イベントが起こった瞬間に保全
  • AI駆動の調査: 実際の攻撃者のパターンから弱いシグナルを識別
  • リアルタイムのクラウド環境インサイト: コンテキストと影響を即座に理解

クラウドセキュリティは問題が起こる可能性 に対する防御から現在 起こっていることに対する、ランタイムの、さまざまなアイデンティティに渡る、攻撃者と同じスピードでの防御へ進化する必要があります。防御者がアドバンテージを取り戻すための方法は、ランタイムとアイデンティティの可視性の統合です。

[related-resource]

Darktrace / CLOUDの機能について知る

ソリューション概要をお読みになり、Darktrace / CLOUD が多様なクラウド環境に対応するリアルタイムクラウド検知および対応により、クラウド脅威をランタイムで防御する仕組みをご確認ください。

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Adam Stevens
Senior Director of Product, Cloud | Darktrace

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April 2, 2026

How Chinese-Nexus Cyber Operations Have Evolved – And What It Means For Cyber Risk and Resilience 

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Cybersecurity has traditionally organized risk around incidents, breaches, campaigns, and threat groups. Those elements still matter—but if we fixate on individual incidents, we risk missing the shaping of the entire ecosystem. Nation‑state–aligned operators are increasingly using cyber operations to establish long-term strategic leverage, not just to execute isolated attacks or short‑term objectives.  

Our latest research, Crimson Echo, shifts the lens accordingly. Instead of dissecting campaigns, malware families, or actor labels as discrete events, the threat research team analyzed Chinese‑nexus activity as a continuum of behaviors over time. That broader view reveals how these operators position themselves within environments: quietly, patiently, and persistently—often preparing the ground long before any recognizable “incident” occurs.  

How Chinese-nexus cyber threats have changed over time

Chinese-nexus cyber activity has evolved in four phases over the past two decades. This ranges from early, high-volume operations in the 1990s and early 2000s to more structured, strategically-aligned activity in the 2010s, and now toward highly adaptive, identity-centric intrusions.  

Today’s phase is defined by scale, operational restraint, and persistence. Attackers are establishing access, evaluating its strategic value, and maintaining it over time. This reflects a broader shift: cyber operations are increasingly integrated into long-term economic and geopolitical strategies. Access to digital environments, specifically those tied to critical national infrastructure, supply chains, and advanced technology, has become a form of strategic leverage for the long-term.  

How Darktrace analysts took a behavioral approach to a complex problem

One of the challenges in analyzing nation-state cyber activity is attribution. Traditional approaches often rely on tracking specific threat groups, malware families, or infrastructure. But these change constantly, and in the case of Chinese-nexus operations, they often overlap.

Crimson Echo is the result of a retrospective analysis of three years of anomalous activity observed across the Darktrace fleet between July 2022 and September 2025. Using behavioral detection, threat hunting, open-source intelligence, and a structured attribution framework (the Darktrace Cybersecurity Attribution Framework), the team identified dozens of medium- to high-confidence cases and analyzed them for recurring operational patterns.  

This long-horizon, behavior-centric approach allows Darktrace to identify consistent patterns in how intrusions unfold, reinforcing that behavioral patterns that matter.  

What the data shows

Several clear trends emerged from the analysis:

  • Targeting is concentrated in strategically important sectors. Across the dataset, 88% of intrusions occurred in organizations classified as critical infrastructure, including transportation, critical manufacturing, telecommunications, government, healthcare, and Information Technology (IT) services.  
  • Strategically important Western economies are a primary focus. The US alone accounted for 22.5% of observed cases, and when combined with major European economies including Germany, Italy, Spain and the UK, over half of all intrusions (55%) were concentrated in these regions.  
  • Nearly 63% of intrusions of intrusions began with the exploitation of internet-facing systems, reinforcing the continued risk posed by externally exposed infrastructure.  

Two models of cyber operations

Across the dataset, Chinese-nexus activity followed two operational models.  

The first is best described as “smash and grab.” These are short-horizon intrusions optimized for speed. Attackers move quickly – often exfiltrating data within 48 hours – and prioritize scale over stealth. The median duration of these compromises is around 10 days. It’s clear they are willing to risk detection for short-term gain.  

The second is “low and slow.” These operations were less prevalent in the dataset, but potentially more consequential. Here, attackers prioritize persistence, establishing durable access through identity systems and legitimate administrative tools, so they can maintain access undetected for months or even years. In one notable case, the actor had fully compromised the environment and established persistence, only to resurface in the environment more than 600 days after. The operational pause underscores both the depth of the intrusion and the actor’s long‑term strategic intent. This suggests that cyber access is a strategic asset to preserve and leverage over time, and we observed these attacks most often inin sectors of the high strategic importance.  

It’s important to note that the same operational ecosystem can employ both models concurrently, selecting the appropriate model based on target value, urgency, intended access. The observation of a “smash and grab” model should not be solely interpreted as a failure of tradecraft, but instead an operational choice likely aligned with objectives. Where “low and slow” operations are optimized for patience, smash and grab is optimized for speed; both seemingly are deliberate operational choices, not necessarily indicators of capability.  

Rethinking cyber risk

For many organizations, cyber risk is still framed as a series of discrete events. Something happens, it is detected and contained, and the organization moves on. But persistent access, particularly in deeply interconnected environments that span cloud, identity-based SaaS and agentic systems, and complex supply chain networks, creates a major ongoing exposure risk. Even in the absence of disruption or data theft, that access can provide insight into operations, dependencies, and strategic decision-making. Cyber risk increasingly resembles long-term competitive intelligence.  

This has impact beyond the Security Operations Center. Organizations need to shift how they think about governance, visibility, and resilience, and treat cyber exposure as a structural business risk instead of an incident response challenge.  

What comes next

The goal of this research is to provide a clearer understanding of how these operations work, so defenders can recognize them earlier and respond more effectively. That includes shifting from tracking indicators to understanding behaviors, treating identity providers as critical infrastructure risks, expanding supplier oversight, investing in rapid containment capabilities, and more.  

Learn more about the findings of Darktrace’s latest research, Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysis, by downloading the full report and summaries for business leaders, CISOs, and SOC analysts here.  

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Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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April 1, 2026

AI-powered security for a rapidly growing grocery enterprise

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Protecting a complex, fast-growing retail organization

For this multi-banner grocery holding organization, cybersecurity is considered an essential business enabler, protecting operations, growth, and customer trust. The organization’s lean IT team manages a highly distributed environment spanning corporate offices, 100+ stores, distribution centers and  thousands of endpoints, users, and third-party connections.

Mergers and acquisitions fueled rapid growth, but they also introduced escalating complexity that constrained visibility into users, endpoints, and security risks inherited across acquired environments.

Closing critical visibility gaps with limited resources

Enterprise-wide visibility is a top priority for the organization, says the  Vice President of Information Technology. “We needed insights beyond the perimeter into how users and devices were behaving across the organization.”

A security breach that occurred before the current IT leadership joined the company reinforced the urgency and elevated cybersecurity to an executive-level priority with a focus on protecting customer trust. The goal was to build a multi-layered security model that could deliver autonomous, enterprise-wide protection without adding headcount.

Managing cyber risk in M&A

Mergers and acquisitions are central to the grocery holding company’s growth strategy. But each transaction introduces new cyber risk, including inherited network architectures, inconsistent tooling, excessive privileges, and remnants of prior security incidents that were never fully remediated.

“Our M&A targets range from small chains with a single IT person and limited cyber tools to large chains with more developed IT teams, toolsets and instrumentation,” explains the VP of IT. “We needed a fast, repeatable, and reliable way to assess cyber risk before transactions closed.”

AI-driven security built for scale, speed, and resilience

Rather than layering additional point tools onto an already complex environment, the retailer adopted the Darktrace ActiveAI Security Platform™ in 2020 as part of a broader modernization effort to improve resilience, close visibility gaps, and establish a security foundation that could scale with growth.

“Darktrace’s AI-driven approach provided the ideal solution to these challenges,” shares the VP of IT. “It has empowered our organization to maintain a robust security strategy, ensuring the protection of our network and the smooth operation of our business.”

Enterprise-wide visibility into traffic  

By monitoring both north-south and east-west traffic and applying Self-Learning AI, Darktrace develops a dynamic understanding of how users and devices normally behave across locations, roles, and systems.

“Modeling normal behavior across the environment enables us to quickly spot behavior that doesn’t fit. Even subtle changes that could signal a threat but appear legitimate at first glance,” explains the VP of IT.

Real-time threat containment, 24/7

Adopting autonomous response has created operational breathing room for the security team, says the company’s Cybersecurity  Engineer.

“Early on, we enabled full Darktrace autonomous mode and we continue to do so today,” shares the IT Security Architect. “Allowing the technology to act first gives us the time we need to investigate incidents during business hours without putting the business at risk.”

Unified, actionable view of security ecosystem

The grocery retailer integrated Darktrace with its existing security ecosystem of firewalls, vulnerability management tools, and endpoint detection and response, and the VP of IT described the adoption process as “exceptionally smooth.”

The team can correlate enterprise-wide security data for a unified and actionable picture of all activity and risk. Using this “single pane of glass” approach, the retailer trains Level 1 and Level 2 operations staff to assist with investigations and user follow-ups, effectively extending the reach of the security function without expanding headcount.

From reactive defense to security at scale

With Darktrace delivering continuous visibility, autonomous containment, and integrated security workflows, the organization has strengthened its cybersecurity posture while improving operational efficiency. The result is a security model that not only reduces risk, but also supports growth, resilience, and informed decision-making at the business level.

Faster detection, faster resolution

With autonomous detection and response, the retailer can immediately contain risk while analysts investigate and validate activity. With this approach, the company can maintain continuous protection even outside business hours and reduce the chance of lateral spread across systems or locations.

Enterprise-grade protection with a lean team

From cloud environments to clients to SaaS collaboration tools, Darktrace provides holistic autonomous AI defense, processing petabytes of the organization’s network traffic and investigating millions of individual events that could be indicative of a wider incident.

Today, Darktrace autonomously conducts the majority of all investigations on behalf of the IT team, escalating only a tiny fraction for analyst review. The impact has been profound, freeing analysts from endless alerts and hours of triage so they can focus on more valuable, proactive, and gratifying work.

“From an operational perspective, Darktrace gives us time back,” says the Cybersecurity Engineer. More importantly, says the VP of IT, “it gives us peace of mind that we’re protected even if we’re not actively monitoring every alert.”

A strategic input for M&A decision-making

One of the most strategic outcomes has been the role of cybersecurity on M&A. 90 days prior to closing a transaction, the security team uses Darktrace alongside other tools to perform a cyber risk assessment of the potential acquisition. “Our approach with Darktrace has consistently identified gaps and exposed risks,” says the VP of IT, including:

  • Remnants of previous incidents that were never fully remediated
  • Network configurations with direct internet exposure
  • Excessive administrative privileges in Active Directory or on critical hosts

While security findings may not alter deal timelines, the VP of IT says they can have enormous business implications. “With early visibility into these risks, we can reduce exposure to inherited cyber threats, strengthen our position during negotiations, and establish clear remediation requirements.”

A security strategy built to evolve with the business

As the holding group expands its cloud footprint, it will extend Darktrace protections into Azure, applying the same AI-driven visibility and autonomous response to cloud workloads. The VP of IT says Darktrace's evolving capabilities will be instrumental in addressing the organization’s future cybersecurity needs and ability to adapt to the dynamic nature of cloud security.

“With Darktrace’s AI-driven approach, we have moved beyond reactive defense, establishing a resilient security foundation for confident expansion and modernization.”

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