Presentation · EN — Siemens Energy Grid Technologies presentation (version 1.0, February 2026, marked Unrestricted) presenting the Noedra Shield grid-security suite as a comprehensive portfolio for grid cyber-physical solutions aligned with the NIST Cybersecurity Framework, delivered in partnership with Industrial Defender, SentryOT and Cyolo for best-of-class capabilities. An overview slide maps ten capabilities onto the five NIST CSF functions — identify & assess, protect, detect, respond, recover — and each capability then gets a dedicated one-pager under the tagline 'Standing guard over the grid': OT/ICS asset inventory and asset management, vulnerability risk prioritization and compliance reporting, OT zero-touch deployment, secure remote access, grid insider threat detection (patent pending, with AI-driven cyber-physical correlation), OT/ICS network continuous monitoring of ICCP, DNP3, Modbus and IEC 61850, adverse event analysis, incident response, analysis & reporting, threat modeling & incident mitigation, and incident recovery plan execution.
The opening slide presents a comprehensive portfolio for grid cyber-physical solutions aligned with NIST CSF, under the Ns (Noedra Shield, Grid Security) suite mark. The portfolio is marked patent pending and is delivered through partnerships with Industrial Defender, SentryOT and Cyolo 'for best-of-class capabilities'.
Ten capabilities are arranged under the five NIST CSF functions, each capability carrying the partner (or patent) attribution shown on its one-pager footer. A cross-reference at the foot of the overview points to the Noedra Atlas (Na) suite for cyber compliance, gap analysis & risk assessment.
| NIST CSF function | Capability | Delivered with |
|---|---|---|
| Identify & Assess | OT/ICS asset inventory & asset management | Industrial Defender |
| Identify & Assess | Vulnerability risk prioritization & compliance reporting | Industrial Defender |
| Protect | OT/ICS zero touch deployment | Cyolo |
| Protect | Secure remote access | Cyolo |
| Detect | Grid insider threat detection | Siemens Energy (patent pending) |
| Detect | OT/ICS network continuous monitoring | Industrial Defender |
| Detect | Adverse event analysis | SentryOT |
| Respond | Incident response, analysis & reporting | SentryOT |
| Respond | Threat modeling and incident mitigation | SentryOT |
| Recover | Incident recovery plan execution | SentryOT |
OT/ICS asset inventory and asset management delivers continuous, cyber-physical visibility into grid assets, maintaining an accurate, real-time understanding of the assets deployed, how they are configured, and how each asset aligns with vulnerability risk and compliance obligations across global regions. Features at a glance: comprehensive OT/ICS asset discovery (automatically identifying intelligent electronic devices, IIoT, protection relays, network devices and supporting infrastructure across substations and control environments); continuous asset state, configuration and change visibility (firmware, configurations, communications protocols and lifecycle changes feeding an authoritative, up-to-date IT and OT inventory); cyber-physical context for risk prioritization (associating each asset with operational role, physical impact and network behavior); and lifecycle-based asset governance covering secure deployment, maintenance, modernization and retirement workflows.
The one-pager's technical information highlights compliance-aligned asset reporting with pre-configured substation reports mapped to global frameworks including NERC CIP, NIST CSF, ISA/IEC 62443, C2M2, CIS Controls, EU NIS/NIS2, UK NCSC CAF, TSA Directives, AESCSF, UAE TRA, the Qatar Cybersecurity Framework, Saudi NCA OTCC and CMMC.
Vulnerability risk prioritization and compliance reporting delivers a practical, OT-optimized approach to identifying, prioritizing and reporting cyber weaknesses, correlating deep asset context, threat intelligence and operational impact to focus remediation where it matters most while automating compliance evidence for regulatory defensibility. Features include risk-based vulnerability prioritization combining severity scores, operational context and threat intelligence; actionable risk dashboards and trend insights; configuration lifecycle visibility into device state and configuration drift; OT-safe vulnerability data collection that avoids active scanning of control systems and safety-critical operations; and automated, real-time compliance reporting that maps vulnerability posture and mitigation progress to regulatory requirements.
OT zero-touch deployment (ZTD) streamlines OT device updates with controlled, remote workflows that cut risk and keep operations running — enabling utilities to securely deploy, configure and maintain cyber-physical assets across substations and grid environments while reducing operational risk, accelerating firmware vulnerability management and enforcing consistent security baselines. Key features: reduced truck rolls and faster device hardening (critical vulnerability firmware patches applied from the Security Operations Center, cutting travel to remote sites, cost and response times); and a human-in-the-loop initiated, OT-specific firmware update workflow with controlled maintenance workflows, recorded access sessions and operator-driven actions preserving accountability, safety and operational integrity. Standardized, security-policy-driven workflows enforce cybersecurity frameworks, network segmentation and access-control baselines, and deployment scales across protection relays, IEDs, gateways and edge devices for the full size, complexity and criticality of a utility's environment.
Secure remote access (SRA) provides controlled, security-policy-driven connectivity to OT/ICS assets, enabling safe remote engineering, maintenance and incident response while minimizing attack surface, enforcing least-privilege access and maintaining full operational accountability. Features include elimination of ad-hoc access methods in favor of controlled, temporary and auditable connectivity; multi-factor-authenticated, role-based, time-bound and asset-specific access; and time-stamped user access audit logs delivered as syslog data for integration with existing SIEM or SOAR solutions. Benefits cited: attack-surface reduction through brokered on-demand connectivity without persistent connections; integrated identity, authentication and auditability with session recording and immutable audit trails for forensic analysis; operational continuity via remote diagnostics, patching, configuration changes and recovery without dispatching field personnel; and compliance-aligned remote-access governance supporting NERC CIP, IEC 62443 and internal security policies.
Grid insider threat detection (patent pending) provides continuous, real-time visibility with side-by-side visualization of the substation control room and network behavior. Using AI-driven cyber-physical correlation, it triangulates insider activity across electrical behavior, field infrastructure and user access — detecting voltage tampering, line anomalies and misuse of authorized access while pinpointing asset location and classifying the nature of the attack in real time. Features: cyber-physical threat triangulation correlating voltage manipulation, overhead line monitoring anomalies, network activity and user actions; authorized-access misuse detection for improper commands, configuration changes and policy violations; asset-level geolocation of active threats down to the exact substation, feeder or grid asset; automated attack classification by AI agents into malicious, negligent or operational events to reduce false positives; and autonomous cyber AI agents that monitor, analyze and surface insider threats without manual tuning. Technical information: access to a program application with machine-learning models to identify power system tampering; integration with third-party OT/ICS cyber technologies; available as an on-premise, virtual machine, or appliance. This capability's experience level is marked 'ready to implement' (the other one-pagers are marked 'globally proofed').
OT/ICS network continuous monitoring delivers real-time, protocol-aware insight into industrial networks, ensuring persistent detection of anomalies, configuration drift and cyber-physical risk indicators so grid operators can protect reliability and respond before issues escalate. Features: protocol-aware OT/ICS traffic analysis with deep inspection of industrial protocols (e.g., ICCP, DNP3, Modbus, IEC 61850) to detect deviations in control commands, operational flows and device communications; asset discovery and network mapping producing an accurate, up-to-date topology; cyber-physical correlation aligning network events with physical process state and asset health; real-time anomaly detection and alerting with minimal false positives; and compliance-ready monitoring and reporting supporting frameworks such as NERC CIP and ISA/IEC 62443.
A third detect-function one-pager, adverse event analysis (attributed to SentryOT), appears in this version of the deck with body copy repeated verbatim from the network-continuous-monitoring page; the deck (v1.0) does not yet provide capability-specific copy for it.
Incident response, analysis & reporting empowers grid operators with end-to-end, cyber-physical incident handling — rapid detection, deep investigation and automated reporting that bridges OT context with security insights while preserving operational continuity and compliance readiness. Features: real-time incident detection and alerting aligned to industrial behavior rather than generic IT signals; deep correlation and forensic analysis linking security events with control-system commands, network flows and asset state for root-cause discovery with timeline-driven investigation tools; raw data capture and evidence preservation (network traffic, logs, device interactions and configurations in defensible formats for replay and post-incident review); automated, compliance-ready reporting generated on demand; and operational impact context that translates cyber events into operational outcomes so security, engineering and operations teams act together.
Threat modeling & incident mitigation equips utilities with cyber-physical insight and predictive risk intelligence tailored to OT/ICS environments — anticipating attack paths, assessing operational impact and launching targeted mitigation actions. Features: cyber-physical threat modeling and risk prioritization translating asset, network and process data into threat scenarios ranked by impact to system safety and service continuity; AI-enhanced anomaly correlation and scenario analysis across telemetry, user behavior and process commands; operational impact forecasting on physical grid functions such as voltage, line status and control signals to limit cascading outages; automated playbooks and guided mitigation actions from containment and isolation to configuration hardening; and forensic-ready evidence with executive reporting for post-event reviews and regulatory obligations.
Incident recovery plan execution combines operational context, forensic-grade visibility and automated recovery workflows to guide utilities from disruption back to stable OT/ICS operations — minimizing downtime, preserving safety and enabling confidence in post-incident restoration. Features: operationally aware recovery guidance aligning restoration steps with physical process impact so recovery does not trigger unintended operational consequences; automated configuration backups and rollback to trusted states; forensic-ready evidence (raw network traffic, logs, event sequences) to reconstruct incidents, support root-cause analysis and validate recovery completeness; contextual incident insights highlighting affected assets, priority fixes and mitigation paths; and compliance-aligned reporting and handoff documenting actions taken, impact assessed and control changes made.
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