Best of LinkedIn: ICT & Tech Insights CW 47/ 48

Credential abuse dominated risk narratives, driving stronger MFA, hardened login flows, geo and IP gating, and continuous monitoring as baseline controls

Zero Trust regained operational clarity, with identity at the network layer, segmented access, and least-privilege policies embedded into daily runbooks

Quantum readiness moved from theory to operational planning, driven by urgency to secure infrastructures before cryptographic risks materialize

European coordination deepened around resilience, shared skills pipelines, and common frameworks that align public and private response models

Executive commentary balanced breakthrough potential in simulation and optimization with sober assessments of near-term cryptographic exposure, reinforcing dual-track planning imperatives

Security leaders advocated early post-quantum cryptography pilots, mapping crypto dependencies and sequencing migrations ahead of regulatory deadlines

Hardware momentum highlighted photonic approaches for targeted workloads in AI and scientific compute, signaling performance gains tied to specialized architectures

Operating models eclipsed model heroics, with data readiness, governance, and cost control emphasized as the gating factors for scaled AI productivity

Convergence themes linked AI with quantum and tokenization, shifting discourse from isolated tools toward coherent platform stacks

Public sector and defense emphasized measurable productivity with auditability and mission-aligned guardrails, prioritizing reliable adoption over showcase experiments

Europe advanced pragmatic sovereignty with trusted identity and accountability constructs, positioning the EUDI wallet as a unifying anchor for services

Mid-sized nations were steered toward targeted capabilities and partnerships, avoiding full-stack reinvention while preserving strategic autonomy

Enterprise guidance favored hyperscale leverage augmented with policy-grade controls and verifiable locality for regulated workloads, aligning compliance with economics

Data platforms were framed as both bottleneck and enabler, making clean pipelines, strong metadata, and lineage the prerequisites for AI at scale

Business value centered on decision speed, compressing dashboard sprawl into owned views that trigger embedded actions and measurable outcomes

Lakehouse and platform engineering patterns simplified toolchains, improving governance by design while curbing operational overhead

Edge adoption focused on latency-sensitive AI with observability at the source, aiming for reliable inference close to operations

SD-WAN and zero trust networking converged into identity-first policy planes, simplifying control while decoupling security from transport choices

Industrial IoT examples stressed device baselining, disciplined patching, and telemetry reuse, tying security posture directly to quality and safety gains

Platform engineering expanded paved roads and golden paths, reducing cognitive load and stabilizing deployments through opinionated defaults

Observability shifted from tool catalogs to value chains, linking traces and SLOs to customer impact and unit economics

Secure-by-default delivery became table stakes, integrating secrets hygiene, SBOM generation, and policy-as-code across CI and runtime

European cybersecurity collaboration aligned on skills, funding, and cross-border readiness, reinforcing a shared defense posture

Ecosystem posts favored orchestration layers over point features, presenting vendors as integrators across AI, data, and security domains

Government and enterprise dialogues emphasized joint accountability with shared reference architectures, compressing time to compliant deployment

Security releases prioritized deployable controls, packaging MFA hardening, identity-aware networking, and continuous detection for rapid adoption

Compute posts highlighted photonic and specialized acceleration, positioning gains in service of AI training and targeted scientific workloads

Platform updates sharpened developer experience with opinionated templates, embedded policies, and streamlined workflows that cut cycle time and risk