All Foundries

商品管理と取引

データに基づくインサイトと、セキュアで機動性の高いプラットフォームにより、グローバルな商取引を支えるトレーディングエコシステムを変革します。

顧客とマーケティング戦略

パーソナライズされたつながりある体験を通じて顧客エンゲージメントを再構築し、信頼と長期的な価値を築きます。

デジタルエンジニアリング

アイデアをスケーラブルなデジタルソリューションへと転換し、デザイン・テクノロジー・エンジニアリングの力で加速させます。

ステーション・スタジオ

デジタルイノベーションでモビリティハブを再定義し、移動中の人々と企業に、よりスマートでサステナブルな体験を創出します。

サプライチェーン＆インダストリー5.0

変化を予測し、目的を持って効率性を実現する、強靭で知的な供給ネットワークを構築します。

サステナビリティ

責任あるイノベーションを推進し、組織がネットゼロ目標を達成し、将来の世代に良い影響をもたらすよう応援します。

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Generation Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Utility engineers testing industrial network and protection equipment in a controlled commissioning workspace beside a digital substation.

OT Firewall Validation for Digital Substations

In a digital substation, a firewall rule is never just a cybersecurity setting. It can determine whether protection, control, engineering and supervisory systems continue to communicate as intended. This case establishes a disciplined validation approach that tests security policy, segmentation and operational communication flows before changes are accepted in live operations.

OT Firewall Validation for Digital Substations

Transmission cybersecurity engineers test protection, communications and monitoring equipment inside a substation control room while the live switchyard remains visible through the doorway.

OT Cybersecurity Monitoring for Transmission Networks

Transmission networks cannot trade operational availability for cyber visibility. This engagement combined OT event monitoring, centralized security analytics, industrial network testing, vulnerability assessment and incident response preparation to give transmission stakeholders a stronger basis for understanding cyber activity, validating controls and protecting service continuity.

OT Cybersecurity Monitoring for Transmission Networks

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心を動かす会話

Security and resilence through advanced robotics

AI-driven perception, robotic autonomy and real-time reasoning extend security monitoring into sensitive infrastructure areas where continuous coverage and rapid threat assessment are essential.

会議のスケジューリング

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Critical infrastructure security demands continuous coverage across complex areas without increasing human exposure to operational risk.

WHY THIS AUTONOMOUS ROBOTICS FOR CRITICAL INFRASTRUCTURE THREAT DETECTION CHALLENGE?

From remote observation to active situational awareness

Sensitive infrastructure can contain blind spots, hazardous zones and changing conditions that are difficult to supervise continuously with fixed surveillance alone. A European-funded critical infrastructure initiative addresses this by combining autonomous robotics with AI-based perception and real-time reasoning, creating mobile systems that can inspect, interpret and support response while preserving safety and operational continuity.

主なメリット

Security intelligence that can move through the environment

Mobile robotic systems add a physical dimension to surveillance, allowing threat awareness to follow the areas where conditions and risk are changing.

Mobile situational coverage

Autonomous platforms can patrol sensitive areas and extend monitoring beyond locations that fixed cameras or stationary systems can observe continuously.

Earlier threat interpretation

Computer vision and anomaly detection help surface unusual conditions while real-time reasoning adds context to what the robotic system is observing.

Lower human exposure

Inspection and intervention activities can be shifted toward autonomous platforms when direct access would place personnel in potentially dangerous situations.

Evidence before scale

Benchmarking and field experimentation provide a basis for evaluating robotic and AI performance before broader long-term deployment.

NTTデータのサポート体制は？

Perception built around the mission

Computer vision, anomaly detection and situational awareness capabilities are developed specifically around the security conditions the robotic system must recognize.

Intelligence travels with the platform

Decision-making and real-time processing are placed onboard the robotic system so detected conditions can be assessed during the mission itself.

Candidate technologies are challenged before selection

NTT DATA scouts and benchmarks robotic platforms and AI models against the operational demands of autonomous inspection and security response.

Controlled trials expose weaknesses early

Inspection and intervention strategies are exercised in managed settings to reveal limitations before the system is introduced into more demanding environments.

Real-world validation closes the loop

Field testing measures how perception, autonomy and robotic behavior perform under actual infrastructure conditions rather than relying only on laboratory results.

実証済みの効果

Autonomous security becomes more actionable when perception, reasoning and physical mobility operate as one coordinated capability.

重要な結果

What autonomous security validation is designed to prove

The available evidence is qualitative, centered on infrastructure protection, situational awareness, reduced human risk exposure and scalability rather than quantified percentage gains.

Security reinforcement

Autonomous surveillance and inspection can extend protection across sensitive infrastructure by maintaining mobile observation and supporting detection of conditions that may require response.

Threat assessment context

Real-time visual analysis and anomaly detection provide additional situational information that can help operators understand what is occurring across protected areas.

Reduced exposure for personnel

Robotic inspection and intervention can limit the need for people to enter hazardous locations while maintaining continuity of security and monitoring activities.

Deployment maturity

Scouting, benchmarking, controlled pilots and field testing create a progressive validation path for assessing whether autonomous security capabilities are ready for broader use.

Move from static surveillance toward mobile autonomous security

Evaluate where robotic perception, onboard reasoning and field-tested autonomy can strengthen infrastructure protection while keeping people farther from hazardous conditions.

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