Resources - Updated 19 July 2026
Browse all published resources grouped into Articles, Case Studies, and Whitepapers.
121 published items with dated entries.
A proposed FTC policy statement argues state laws like Colorado's AI Act, which compel AI developers to alter model outputs, may be preempted by federal law. It's a comment-period proposal, not a ruling, and enterprise AI governance programmes shouldn't treat it as one.
Read article ->Microsoft's July 2026 update shipped a record 570 fixes, including an actively exploited Active Directory Federation Services zero-day found during Microsoft's own incident response work. What it means for identity and patch governance.
Read article ->SB 315 makes Illinois the first US state to require frontier AI developers to submit their safety plans to an independent auditor every year, with a 72-hour clock on reporting serious incidents. What it means for enterprise AI vendor due diligence.
Read article ->TriWest Healthcare Alliance discovered unauthorised access to its systems in April, but didn't notify affected Tricare beneficiaries until July. Why the gap between discovery and disclosure deserves its own place in your incident response plan.
Read article ->Ford spent three years hiring back the experienced engineers its AI quality tools were meant to replace, then topped a major quality ranking for the first time in 16 years. What the sequencing of that failure means for any enterprise treating documentation as a substitute for expertise.
Read article ->CVE-2026-45659 needed only low-privilege access to trigger remote code execution. Microsoft rated exploitation unlikely; CISA later confirmed active exploitation, and a US federal information-sharing network was breached through a SharePoint system in the same window. What the gap means for patch prioritisation.
Read article ->The European Commission's Action Plan on Cybersecurity and AI lands three weeks before GPAI Code of Practice obligations start being enforced. What the plan to pre-test frontier models before market entry signals for enterprise AI procurement.
Read article ->A decade of Nintendo of America employee records - bank statements and W-9s included - sat inside a third-party survey platform few staff had heard of. The exposure had nothing to do with Nintendo's own defences, and that's exactly the point.
Read article ->Apple's lawsuit accuses OpenAI's hardware chief of coaching departing Apple staff to bring "actual parts" to job interviews and evade exit security. The mechanics described are a working checklist for insider IP risk at any enterprise leaning on an AI partner.
Read article ->The Future of Life Institute's Summer 2026 AI Safety Index gave no major AI lab higher than a C+. That's an unglamorous result, but it's more useful for vendor due diligence than most marketing material you'll be handed.
Read article ->China's Interim Measures for AI Anthropomorphic Interaction Services take effect 15 July, forcing Doubao and Qwen to shut down humanlike agent features. Workplace assistants are exempt - but the exemption line is narrower than most enterprise assistants assume.
Read article ->CISA has confirmed ransomware gangs are now exploiting BlueHammer, a Microsoft Defender privilege escalation bug, months after it first surfaced as a zero-day. Why authenticated-only flaws in ubiquitous security tooling deserve the same urgency as unauthenticated ones.
Read article ->Cost pressure has quietly pushed Chinese open-weight models into a large share of enterprise AI workloads, and two House committees are now investigating what that means for security.
Read article ->A hacker offering stolen Accenture data for sale claims the haul includes live RSA keys, SSH keys and Azure access tokens, not just source code. Here's why that distinction matters for anyone using a large delivery partner.
Read article ->Microsoft, Amazon, OpenAI and Anthropic have all committed serious capital to putting their own engineers inside client organisations this year. What it means for buyers.
Read article ->New Sophos telemetry shows Claude Code, Cursor and OpenAI Codex routinely tripping the same behavioural rules built to catch human attackers.
Read article ->A neutral briefing on how 2026 shifts in US export controls, tariffs and AI deregulation are reshaping global enterprise sourcing, cost and compliance planning.
Read article ->AI assistants that can click, fill in forms and complete purchases inside the browser on an employee's behalf are moving from consumer novelty to everyday use, often before IT has ever heard of them.
Read article ->What the EU AI Act's high-risk enforcement phase now requires, who is caught even outside the EU, and a practical compliance checklist for enterprises.
Read article ->A plain-language briefing on the AI stories making headlines in early July 2026, and what each one changes for how enterprises should plan, govern and spend.
Read article ->Why model weights, base checkpoints and fine-tuning pipelines need the same supply chain controls as software, and how to build provenance and signing into an AI platform.
Read article ->Why feature stores need governance as much as they need engineering, and a practical approach to keeping training and serving features consistent, owned and trustworthy at scale.
Read article ->A practical framework for red-teaming AI agents and LLM applications before release, so prompt injection, tool misuse and data leakage are caught before customers find them.
Read article ->Why master data management is becoming a prerequisite for reliable AI outcomes, and a practical approach to building an MDM capability that keeps pace with AI-driven demand.
Read article ->A practical approach to managing non-human identities for AI agents, so credential sprawl and orphaned access don't undermine the governance an agent programme depends on.
Read article ->How to build data lineage and provenance tracking for AI training and fine-tuning pipelines, so model behaviour can be traced back to the data that shaped it.
Read article ->A practical governance guide for adopting the Model Context Protocol (MCP) in the enterprise without creating an unmanaged sprawl of integration points.
Read article ->How to build observability for multi-agent AI systems, so tracing, evaluation and cost visibility keep pace with production incidents rather than lagging behind them.
Read article ->How to govern AI coding agents in the enterprise SDLC so autonomous code generation speeds delivery without eroding quality, security or accountability.
Read article ->A practical framework for meeting data residency and sovereign cloud requirements without fragmenting your architecture or your engineering teams.
Read article ->A practical FinOps model for controlling GPU and inference spend as generative AI workloads move from pilot to always-on production.
Read article ->How to bring unsanctioned AI tools and SaaS sprawl under governance without driving adoption further underground.
Read article ->How to secure autonomous AI agents against prompt injection, tool misuse and identity sprawl before they reach production.
Read article ->A practical guide to assessing cryptographic exposure and building a migration plan to post-quantum algorithms before the transition becomes urgent.
Read article ->How to build responsible AI governance frameworks that satisfy regulatory expectations and survive the pressure of real production environments.
Read article ->How to design agentic AI workflows that are reliable, governed, and observable enough to survive real production conditions.
Read article ->How to report on technology programmes so the board understands progress, risk, and value clearly.
Read article ->How to build a workforce upskilling programme that turns cloud and AI ambition into delivery capability.
Read article ->How to modernise enterprise search using AI so people find what they need without governance gaps.
Read article ->How to plan cloud migration waves that sequence risk sensibly and keep stakeholders aligned.
Read article ->How to staff and structure site reliability so reliability is owned, funded, and continuously improved.
Read article ->How to keep release management fast and auditable in environments with strict regulatory expectations.
Read article ->How to introduce test automation into legacy systems that were never built with testing in mind.
Read article ->How to embed privacy by design into analytics and AI so insight does not come at the cost of trust.
Read article ->How to make backup and recovery genuinely ransomware-ready instead of assuming the backups will work.
Read article ->How to decide whether a service mesh earns its complexity, and how to adopt one without regret.
Read article ->When to step back from microservices toward a modular monolith, and how to make the call objectively.
Read article ->A practical framework for selecting a vector database that fits your retrieval and scale requirements.
Read article ->How to evaluate AI models and build guardrails that keep production behaviour safe and predictable.
Read article ->How to build cloud financial forecasting that connects engineering plans to budgets the board trusts.
Read article ->How golden paths help platform teams offer self-service that is safe, consistent, and genuinely useful.
Read article ->Practical controls for securing container image supply chains from build through to runtime.
Read article ->How policy as code turns compliance from a manual checkpoint into an automated, continuous control.
Read article ->How to design incident command and on-call rotations that resolve issues faster and protect your people.
Read article ->What a durable customer data platform foundation looks like, and the mistakes that undermine adoption.
Read article ->How to approach legacy ERP modernisation in stages that protect operations and prove value early.
Read article ->A grounded view of data lakehouse adoption, and how to decide whether it fits your data estate.
Read article ->How to design real time analytics that informs operational decisions without overwhelming the platform.
Read article ->When edge computing is the right answer, and how to run distributed workloads reliably at the edge.
Read article ->How to design identity federation that lets partners integrate securely without weakening your controls.
Read article ->How to operate cloud security posture management so misconfigurations are caught and fixed early.
Read article ->How to make technical debt visible, prioritised, and funded so it stops eroding delivery speed.
Read article ->How to use DORA and flow metrics to understand delivery performance without gaming the numbers.
Read article ->Practical ways to reduce the carbon and cost footprint of cloud workloads through better engineering.
Read article ->How to adopt event streaming so it solves real integration problems instead of adding hidden complexity.
Read article ->A staged approach to database modernisation that moves critical workloads with minimal disruption.
Read article ->How to control runaway observability cost while keeping the signal teams need to operate confidently.
Read article ->A practical pattern for secrets management that removes hardcoded credentials and reduces blast radius.
Read article ->How to manage infrastructure as code across many teams without drift, duplication, or review bottlenecks.
Read article ->What a well-designed cloud landing zone includes, and how it accelerates safe adoption across teams.
Read article ->How data contracts reduce breakage between teams and create accountability for data quality at the source.
Read article ->How to design retrieval augmented generation systems that stay accurate, current, and grounded in your data.
Read article ->The foundations of an MLOps pipeline that makes model deployment repeatable, observable, and governed.
Read article ->How to modernise privileged access management to cut standing risk while keeping operations productive.
Read article ->A measured approach to consolidating fragmented API gateways into a consistent, governed layer.
Read article ->How to use feature flags and progressive delivery to ship safely and decouple release from deployment.
Read article ->Why most disaster recovery plans fail under pressure, and how to test recovery so it works when it matters.
Read article ->How to design multi-cloud networking that balances connectivity, security, and operational simplicity.
Read article ->A pragmatic guide to introducing chaos engineering in regulated enterprises without creating new risk.
Read article ->How to set service level objectives that reflect real user experience and drive better operational decisions.
Read article ->What it takes to build an internal developer platform that engineers actually adopt and that reduces delivery friction.
Read article ->How to design a data governance operating model that improves trust without slowing teams to a crawl.
Read article ->A disciplined approach to Kubernetes cost and capacity management that keeps clusters efficient and predictable.
Read article ->How to phase a zero trust network rollout across identity, devices, and workloads without stalling delivery.
Read article ->A practical API lifecycle management approach for enterprises balancing reuse, versioning, security and platform consistency.
Read article ->How to build an AI governance operating model that keeps risk teams comfortable while letting product teams ship valuable features.
Read article ->What changes after the first platform is live, and how to stop the operating model from drifting back to project mode.
Read article ->A practical AI platform reference model for organisations scaling model development, deployment and governance.
Read article ->How to build data product ownership that lasts beyond discovery workshops and actually changes how teams work.
Read article ->A step-by-step API modernisation guide for organisations replacing brittle point-to-point integrations.
Read article ->How to make incident reviews produce durable design changes instead of becoming a ritual that never changes outcomes.
Read article ->How to use architecture decision records to improve cross-team alignment and accelerate engineering decisions.
Read article ->A pragmatic guide to securing software supply chains without grinding regulated delivery teams to a halt.
Read article ->How to design CI/CD governance in regulated environments without introducing release bottlenecks.
Read article ->A practical cloud exit strategy that protects negotiating leverage without over-engineering your platform.
Read article ->A practical cloud migration roadmap for regulated enterprises that need measurable progress, strong controls and no service disruption.
Read article ->A cloud-native testing strategy that balances speed, safety and confidence across distributed systems.
Read article ->A cloud security reference architecture covering identity, network segmentation, workload controls and evidence trails.
Read article ->How leaders are moving past "cloud-first" and getting serious about cost, sovereignty and architecture choices that actually pay back.
Read article ->Less theatre, more accountability. Notes from conversations with technology leaders this year.
Read article ->A balanced data mesh guide for enterprises deciding how much decentralisation they can support in practice.
Read article ->How to evaluate the modern data platform options without locking yourself into a five-year regret.
Read article ->A data quality operating rhythm that keeps trust high across analytics, machine learning and operational reporting.
Read article ->A field guide to enterprise integration patterns covering APIs, events, batch and workflow orchestration.
Read article ->An enterprise observability blueprint that turns logs, metrics and traces into faster incident resolution.
Read article ->Event-driven architecture is powerful - and over-applied. A practical lens for picking the right pattern for the right problem.
Read article ->Why cost optimisation needs to live with the engineering team - and how to set that up without theatre.
Read article ->The FinOps KPI stack that links engineering decisions to cloud unit economics and board-level reporting.
Read article ->What separates the AI initiatives that deliver measurable value from the ones that quietly stall after a flashy demo.
Read article ->Identity and access modernisation patterns for organisations running cloud-native and legacy workloads side by side.
Read article ->A staged approach to retiring legacy systems while keeping users - and auditors - comfortable.
Read article ->How to decompose mainframe-era systems with a sequence that protects revenue-critical journeys.
Read article ->How to set microservice boundaries that lower coordination cost and avoid accidental distributed monoliths.
Read article ->The engineering practices and platform choices that let lean teams ship reliable software at enterprise pace.
Read article ->What separates internal platforms that get adopted from those that quietly become another silo.
Read article ->A platform SRE playbook that improves service reliability, deployment speed and on-call quality at the same time.
Read article ->A product operating model for technology organisations moving from projects to persistent product teams.
Read article ->Why disaster recovery on paper is not the same as resilience in practice - and what to do about it.
Read article ->Embedding security thinking into product teams without slowing them to a crawl.
Read article ->A technology due diligence framework for SaaS acquisitions focused on platform risk, team capability and technical debt.
Read article ->How to spot real risk in a target's technology and team before the deal closes - without slowing the deal down.
Read article ->14 published items with dated entries.
We built an assessment integrity platform for a UK university group, replacing an ad hoc mix of plagiarism software and individual academic judgement with a consistent, evidence-based process for handling generative AI misuse cases fairly.
Read case study ->We built a repairs and asset management data platform for a UK housing association, replacing fragmented spreadsheets and legacy case management with a single system that tracks Awaab's Law hazard timescales end to end and proves compliance on demand.
Read case study ->We built a GxP-compliant clinical trial data platform for a UK life sciences group, replacing manual reconciliation across CROs and EDC systems with a validated, audit-ready pipeline that cut submission-ready dataset turnaround from weeks to days.
Read case study ->We built an AI-assisted alarm correlation and triage layer for a UK telecommunications operator's network operations centre, cutting alarm noise and mean-time-to-resolution while keeping every automated action under human approval.
Read case study ->We consolidated a fragmented client data estate for a UK wealth management group, replacing four legacy adviser platforms with a single canonical data layer and unlocking accurate, timely regulatory reporting for the first time.
Read case study ->We designed and delivered a real-time supply chain visibility platform for a major UK parcel carrier, replacing batch-based tracking and giving operations teams and customers live delivery data for the first time.
Read case study ->We designed and delivered a modern smart-metering data platform serving more than five million domestic customers, replacing a fragmented set of legacy data stores and unlocking a new wave of customer-facing products.
Read case study ->We helped a major UK bank migrate a critical payments platform from a legacy mainframe-adjacent estate to a regulator-aligned cloud landing zone - without missing a single payment cut-off.
Read case study ->Manual claims triage and fragmented systems caused avoidable delays, leakage and poor customer experience.
Read case study ->Factory telemetry was siloed by site, limiting predictive maintenance and enterprise-level performance analysis.
Read case study ->Legacy reporting pipelines across acute and community services created inconsistent operational views and delayed decision making.
Read case study ->Ageing identity infrastructure was creating authentication failures, support overhead and audit risk.
Read case study ->We helped a UK government department modernise a high-volume citizen-facing digital service, retiring a legacy mainframe-based back end and improving accessibility, performance and operational cost in line with the GOV.UK Service Standard.
Read case study ->Rapid channel growth had outpaced the legacy commerce stack, driving checkout instability and seasonal risk.
Read case study ->5 published items with dated entries.
A practical due diligence framework for managing third-party AI vendor risk, covering model provenance, safety evidence, breach notification, concentration risk and contractual controls.
Read whitepaper ->A board-level operating model for classifying, governing and scaling agentic AI safely across the enterprise.
Read whitepaper ->A decision framework for deploying AI in regulated industries with stronger assurance and measurable value.
Read whitepaper ->A practical cloud governance blueprint for enterprise leaders balancing risk, velocity and cost.
Read whitepaper ->A finance-aware view of legacy modernisation economics, sequencing and value realisation.
Read whitepaper ->Email the team and we will respond with a practical next step.