Best of LinkedIn: ICT & Tech Insights CW 41/ 42

Zero Trust matured from policy to experience, with identity becoming the control plane and usability a gating factor

AI in everyday tools raised attack surface concerns, pushing continuous validation, telemetry depth, and rapid response

Culture and governance beyond awareness months were positioned as the only durable defense against phishing and social engineering

Compliance alone was rejected as insufficient, with resilience, testing, and incident recovery shaping credible posture

OT security advocated standards-based approaches to avoid brittle, non-deterministic controls in deterministic environments

Practical AI adoption centered on agents, verification, and measurable outcomes rather than generic experimentation

Model security, governance, and data quality emerged as prerequisites for safe scale across regulated enterprises

Posts emphasized augmenting operator workflows and decisioning over replacing domain expertise

Edge and localized compute gained priority where latency, data gravity, and cost efficiency matter most

Data center strategy focused on power availability, interconnects, and compliance as table stakes for AI workloads

Hybrid and regional deployments were framed as the path to balance performance, sovereignty, and vendor optionality

Standards like IEC 62443 were reinforced as the baseline for Zero Trust in industrial control systems

Deterministic behavior and safety constraints guided architecture choices for factories, grids, and utilities

Fleet-level device monitoring and actionable telemetry were positioned as critical for uptime and maintainability

Value realization supplanted raw collection, with governance, quality, and lineage driving trustworthy insights

Outcome-oriented dashboards and decision support were favored over vanity metrics and fragmented reports

Cross-functional ownership of data products emerged as a lever for speed and reliability

Verification and benchmarking dominated, moving discourse from promise to provable advantage

European capability building accelerated through new systems, research collaborations, and talent development

Financial services remained a leading domain for early quantum simulations and risk analytics

Boards and CISOs aligned around resilience, not checkbox compliance, integrating continuity and recovery into strategy

Operating models emphasized skills, accountability, and measurement to translate security investments into business outcomes

Regional infrastructure choices connected technology planning with legal, regulatory, and customer trust requirements

Edge processing near clinical settings promised lower latency and improved patient experience versus round-trip cloud paths

Data stewardship and privacy were presented as non-negotiables for any AI-enabled care pathway

Platform roadmaps prioritized secure APIs, telemetry, and operational metrics to sustain reliability at scale

Developer experience themes focused on clarity, automation, and observability as multipliers for delivery speed