# Enterprise Tech Logic

> Independent analysis for technology leaders


## Posts

- [Technology investment decisions should start with the change the business needs](https://enterprisetechlogic.com/technology-investment-decision-framework/): Compare technology options against a business outcome, full operating commitment and evidence that can justify the next stage of spending.
- [Software supply-chain security follows the product into operation](https://enterprisetechlogic.com/software-supply-chain-security-buyers/): Connect software supply-chain assurance to the purchased release, dependency information, update process and customer response responsibilities.
- [Observability versus monitoring: the difference is in the question you can answer](https://enterprisetechlogic.com/observability-vs-monitoring-enterprise/): Understand how monitoring and observability overlap, why connected telemetry matters and how to identify the investigation gap before buying tools.
- [Data governance gives business meaning an accountable owner](https://enterprisetechlogic.com/data-governance-ownership-before-tooling/): Build data governance around definitions, decision authority and fitness for use, then choose tools that support those responsibilities.
- [Cloud operating models: assign the work that remains after migration](https://enterprisetechlogic.com/cloud-operating-model-responsibilities/): Design cloud responsibilities around service outcomes, shared platform support, recovery and cost, including the work retained by customer teams.
- [Enterprise AI governance should follow the authority a system is given](https://enterprisetechlogic.com/enterprise-ai-governance-operating-model/): Build AI governance around the workflow, data, decision authority and evidence needed for deployment, then review changes that alter those boundaries.
- [Enterprise identity is a continuing decision about who can do what](https://enterprisetechlogic.com/enterprise-identity-access-programme/): Connect identity policy, lifecycle, privilege and recovery into an access programme that follows business changes through to application outcomes.
- [Cyber resilience starts with the business service that must return](https://enterprisetechlogic.com/cyber-resilience-critical-business-services/): Set cyber resilience priorities around business services, shared dependencies and evidence of useful recovery, rather than an undifferentiated list of critical systems.
- [Network access control: plan the rollout around certificates and exceptions](https://enterprisetechlogic.com/network-access-control-rollout-plan-for-certificates-and-exceptions/): A network access control rollout must handle the managed laptop, the ageing printer and the authentication outage. Build those cases into the pilot.
- [DNS resilience: test resolution before the cache runs out](https://enterprisetechlogic.com/dns-resilience-test-resolution-before-the-cache-runs-out/): Cached answers can keep an application working while DNS is already failing. Test the full resolution path and the administrative route needed to restore it.
- [Network monitoring: distinguish packet loss, latency and application delay](https://enterprisetechlogic.com/network-monitoring-distinguish-loss-latency-and-application-delay/): A slow application and a red network graph can be related without having the same cause. Build monitoring that helps the team tell the difference.
- [Wi-Fi 7 upgrades: check the clients before replacing the access points](https://enterprisetechlogic.com/wi-fi-7-upgrade-check-the-clients-before-replacing-the-access-points/): Wi-Fi 7 can improve wireless capacity and reliability, but the business case depends on client devices, radio conditions and the network behind each access point.
- [SD-WAN evaluation: test the slow link before the dead link](https://enterprisetechlogic.com/sd-wan-evaluation-test-the-slow-link-before-the-dead-link/): A useful SD-WAN trial shows what happens to real applications when a circuit deteriorates, both paths struggle or the primary connection returns.
- [IPv6 migration: make security controls work on both paths](https://enterprisetechlogic.com/ipv6-migration-make-security-controls-work-on-both-paths/): A dual-stack service has two network paths to govern. Verify policy, logging and recovery over IPv6 as well as IPv4.
- [Private endpoints still need a DNS design](https://enterprisetechlogic.com/private-endpoints-still-need-a-dns-design/): A private endpoint changes the network destination. DNS must lead every intended client to it without creating unintended gaps elsewhere.
- [Start network segmentation with the connection you cannot safely block](https://enterprisetechlogic.com/start-network-segmentation-with-the-connection-you-cannot-safely-block/): Use one business flow to turn network segmentation into an enforceable boundary, with evidence of required dependencies and blocked paths.
- [A cyber resilience business case should fund the recovery bottleneck](https://enterprisetechlogic.com/recovery-readiness-the-evidence-that-belongs-in-a-technology-investment-case/): Connect resilience spending to tested service bottlenecks, compare credible alternatives and distinguish recovery capability from speculative avoided-loss claims.
- [Security exceptions need an expiry decision, not another reminder](https://enterprisetechlogic.com/build-a-cyber-exception-register-with-real-expiry-decisions/): Make security exceptions actionable with clear exposure, ownership, interim controls and a real decision at expiry.
- [AI SOC analyst evaluation: count the correction work as well as the speed](https://enterprisetechlogic.com/what-ai-in-a-security-product-should-have-to-demonstrate/): Evaluate AI security assistance against analyst outcomes, source accuracy, correction effort and action permissions using a practical pilot design.
- [Penetration testing, red teaming and validation answer different questions](https://enterprisetechlogic.com/security-validation-penetration-testing-and-red-teaming-different-jobs/): Choose security testing by the evidence needed: exploitable weaknesses, detection and response behaviour, or repeatable control checks.
- [IAM migration: preserve the application journey through cutover](https://enterprisetechlogic.com/build-an-iam-migration-plan-around-the-applications-that-cannot-fail/): Plan IAM migration around account matching, application ownership, coexistence and rollback, with acceptance beyond successful sign-in.
- [An IT incident handover must respect the physical process](https://enterprisetechlogic.com/prepare-an-it-and-ot-incident-handover-without-assuming-shared-controls/): Connect IT evidence with operational authority during an OT incident, including process context, handover decisions and return-to-service acceptance.
- [Identity metrics: measure the access that remains after the ticket closes](https://enterprisetechlogic.com/identity-metrics-that-show-whether-access-is-getting-safer/): Build identity metrics around confirmed application outcomes, coverage and unresolved access, rather than ticket closure or enrolment totals alone.
- [When an AI agent is the wrong architecture](https://enterprisetechlogic.com/when-not-to-deploy-an-ai-agent/): Choose between deterministic automation, model-assisted workflows and agents by examining where discretion creates value and where it adds avoidable cost.
- [Contractor access needs an end condition the business can enforce](https://enterprisetechlogic.com/choose-a-contractor-access-model-with-a-clear-end-date/): Choose contractor access around the engagement, sponsor and removal path, with practical trade-offs between external and managed identities.
- [A board cyber report should change a business decision](https://enterprisetechlogic.com/build-a-board-cyber-report-around-decisions-and-exposure/): Turn cyber reporting into a clear discussion of service exposure, evidence and choices, with a practical example of a board decision.
- [AI inference costs: compare the cost of a useful answer](https://enterprisetechlogic.com/compare-ai-inference-costs-using-a-workload-model/): A lower token price can still produce a higher cost per accepted task. This worked example compares model charges, retries and human review on the same basis.
- [SSO, federation and provisioning: three different parts of the access journey](https://enterprisetechlogic.com/sso-federation-and-provisioning-why-integration-requirements-differ/): Understand what SSO, federation and provisioning each deliver, and why successful sign-in does not prove a complete identity integration.
- [Supplier questionnaires leave the hardest resilience question unanswered](https://enterprisetechlogic.com/why-supplier-questionnaires-cannot-prove-operational-resilience/): Use supplier questionnaires to identify where service-specific evidence, recovery arrangements and contractual commitments need a closer look.
- [FinOps for AI: put the whole service behind the cost per outcome](https://enterprisetechlogic.com/finops-for-ai-why-token-prices-are-only-part-of-the-bill/): A lower token bill can hide rising retrieval, evaluation and review costs. Build an AI service account around accepted outcomes and clear ownership.
- [AI procurement: buy a change process as well as a feature](https://enterprisetechlogic.com/why-ai-governance-belongs-in-technology-procurement/): An AI feature can change after approval. Procurement needs clear ownership of model, data-use and feature changes throughout the supplier relationship.
- [Identity-provider outage readiness: test the route back into administration](https://enterprisetechlogic.com/test-identity-provider-outage-readiness-before-the-next-incident/): Test whether administrators can reach credentials, runbooks and communications when normal identity fails, then prove the controlled return to service.
- [Supplier cyber assessments: put the deepest review where failure hurts](https://enterprisetechlogic.com/create-a-supplier-cyber-assessment-that-scales-with-risk/): Scale supplier cyber assurance around access, sensitive data and operational dependency, with evidence and decisions proportionate to the risk.
- [Hybrid infrastructure costs: make the service boundaries match](https://enterprisetechlogic.com/compare-hybrid-infrastructure-costs-on-a-like-for-like-basis/): Compare cloud, on-premises and hybrid options using the same workload, support, recovery and time horizon, then test the assumptions that change the result.
- [Monitor an AI service for the failures an uptime chart cannot show](https://enterprisetechlogic.com/monitor-an-ai-service-after-the-pilot-ends/): Give an enterprise AI service separate signals for availability, answer quality, data freshness, harm and cost, with an owner for each response.
- [Identity threat detection: prove the gap before buying another platform](https://enterprisetechlogic.com/identity-threat-detection-what-should-your-current-stack-already-see/): Test whether identity logs can explain privilege changes, session use and account recovery before committing to another detection platform.
- [In-house or managed SOC? Budget for the work each model leaves behind](https://enterprisetechlogic.com/in-house-soc-or-managed-service-a-decision-guide-for-it-leaders/): Compare internal, managed and hybrid security operations on the same responsibilities, coverage hours and response authority. Include retained work and transition costs.
- [Cloud sovereignty: separate the location promise from the control you need](https://enterprisetechlogic.com/sovereignty-residency-and-control-different-questions-for-cloud-buyers/): For UK cloud buyers, residency, international transfers and operational control need separate evidence. A region selection cannot answer every purchasing question.
- [Service credential rotation: include the integration that only runs at month-end](https://enterprisetechlogic.com/rotate-service-credentials-without-breaking-critical-integrations/): A new secret is only the start of rotation. Map delayed consumers, test fresh authentication and choose a revocation sequence the target system actually supports.
- [Detection coverage: follow one attack path from event to response](https://enterprisetechlogic.com/run-a-detection-coverage-review-before-expanding-your-soc-stack/): A useful detection coverage review traces relevant activity through telemetry, analytics and response. Find the broken step before buying another SOC platform.
- [Cloud security reviews: follow an NCSC principle into the purchased service](https://enterprisetechlogic.com/create-a-cloud-security-review-using-the-ncsc-principles/): Use the NCSC cloud principles to expose gaps between a provider’s security documentation, the purchased plan and the configuration your team can operate.
- [AI agent evaluation: make the purchase request fail halfway](https://enterprisetechlogic.com/evaluate-ai-agents-by-permissions-and-failure-recovery/): For enterprise AI leads, agent selection turns on what happens after a timeout, partial success or revoked permission. Test the business transaction, not just the answer.
- [AI agents make delegated authority an access-governance decision](https://enterprisetechlogic.com/why-ai-agents-expose-weaknesses-in-existing-access-governance/): An agent can connect user requests to broader application permissions. Govern that change of authority at the tool boundary and preserve evidence of the task.
- [Data migration: define the last safe rollback before cutover](https://enterprisetechlogic.com/plan-a-data-platform-migration-around-reconciliation-and-rollback/): Reconcile business outputs as well as copied rows, track writes during cutover and prove how the old system would recover changes made on the new one.
- [Cloud resilience tests should include the services needed to recover](https://enterprisetechlogic.com/test-cloud-resilience-against-realistic-dependency-failures/): Test identity, DNS, scaling and recovery access alongside running workloads, using bounded failure scenarios and user-visible acceptance criteria.
- [AI productivity: faster output is only half the business case](https://enterprisetechlogic.com/ai-productivity-claims-what-a-credible-internal-pilot-must-measure/): An AI pilot proves its value when faster production improves the whole workflow. Count review, rework and the work that actually gets done with the time released.
- [Conflicting dashboards: agree what an active customer means](https://enterprisetechlogic.com/why-dashboards-cannot-fix-inconsistent-business-definitions/): Resolve conflicting dashboard numbers by agreeing the decision, population and time basis, then make the approved definition reproducible across tools.
- [Kubernetes or managed application services: price the operating work](https://enterprisetechlogic.com/kubernetes-or-managed-application-services-choose-for-your-operating-team/): Compare AKS and Azure Container Apps through workload requirements, retained operating tasks and incident ownership before committing your platform team.
- [Human approval for AI must control the action that actually executes](https://enterprisetechlogic.com/design-human-approval-for-high-impact-ai-actions/): Place approval before a consequential AI action, bind it to the exact proposal and test changed inputs, expired consent, retries and emergency stops.
- [Incident review actions should change the next failure](https://enterprisetechlogic.com/turn-incident-reviews-into-a-prioritised-reliability-backlog/): Build a reliability backlog from incident findings, with actions that have an owner, a reason to take priority and a test of the intended improvement.
- [Data deletion is a workflow across copies, holds and restores](https://enterprisetechlogic.com/build-a-retention-and-deletion-workflow-across-connected-systems/): Turn an approved retention policy into a deletion workflow that covers exports, legal holds, backups and restored data, with clear evidence of what remains.
- [A cloud exit plan should prove the service works somewhere else](https://enterprisetechlogic.com/write-a-cloud-exit-plan-before-signing-the-next-contract/): Test exports, replacement workflows, operating responsibilities and cutover before renewal. Free data transfer does not make a cloud service portable.
- [Enterprise AI data controls: approve the feature, not just the provider](https://enterprisetechlogic.com/enterprise-ai-data-controls-what-to-verify-in-provider-documentation/): Training restrictions, retention and customer logging answer different questions. Check the actual AI service, enabled features and configuration before approval.
- [Platform engineering metrics should follow the developer’s whole task](https://enterprisetechlogic.com/platform-engineering-success-should-show-up-in-the-developer-journey/): Faster service creation can hide support queues and rework. Measure developer independence, usable outcomes and reliability across the whole journey.
- [AI data readiness includes the document you have just revoked](https://enterprisetechlogic.com/prepare-enterprise-data-for-ai-without-creating-another-uncontrolled-copy/): Prepare enterprise retrieval around permission changes, freshness and deletion. Test every derived copy, not just the quality of the source documents.
- [Cloud repatriation: price the operating model you will inherit](https://enterprisetechlogic.com/cloud-repatriation-test-the-business-case-beyond-the-compute-bill/): A repatriation case needs more than cheaper servers. Compare transition costs, support, spare capacity and service obligations over the same horizon.
- [RAG or fine-tuning? Start with what the AI gets wrong](https://enterprisetechlogic.com/rag-and-fine-tuning-which-problem-are-you-trying-to-solve/): RAG supplies information at response time; fine-tuning adapts model behaviour through training. The right choice starts with the failure you need to fix.
- [When a technology pilot has earned another phase](https://enterprisetechlogic.com/when-to-stop-a-technology-pilot-instead-of-extending-it/): Decide whether to stop, change or extend a technology pilot using the evidence it can still produce, the incremental cost and a clear decision threshold.
- [Application security metrics: explain what changed before celebrating the count](https://enterprisetechlogic.com/why-more-security-findings-do-not-always-mean-safer-software/): Finding counts can rise with better coverage or fall when visibility is lost. Tie AppSec reporting to deployed exposure, verified fixes and recurrence.
- [Build a service catalogue responders can trust](https://enterprisetechlogic.com/build-a-usable-service-catalogue-with-explicit-ownership/): Create a software service catalogue that answers ownership and change-impact questions. Use Backstage fields carefully and keep entries current.
- [Data lineage and observability: choose the evidence your investigation lacks](https://enterprisetechlogic.com/data-lineage-and-observability-which-gaps-do-they-address/): Compare lineage and observability through a wrong dashboard result and a late data feed. Check product coverage before choosing a platform.
- [A smaller cloud bill can hide a more expensive service](https://enterprisetechlogic.com/why-lower-cloud-spend-does-not-necessarily-mean-better-value/): Cloud unit economics should count useful output and service quality. See how a falling bill can conceal rising cost per successful transaction.
- [Build an AI evaluation set that can overturn the favourite model](https://enterprisetechlogic.com/create-an-ai-evaluation-set-before-choosing-a-model/): Create an LLM evaluation dataset from authorised tasks, explicit scoring and held-out examples. Test consequential failures before choosing a model.
- [The technology is live. Which promised benefits have actually arrived?](https://enterprisetechlogic.com/create-a-benefits-review-for-a-technology-programme-after-launch/): Run a benefits realisation review that separates adoption, operational change and financial effect, then decides what to continue, adapt or stop.
- [A secure release checklist needs an exception decision, not another green tick](https://enterprisetechlogic.com/create-a-secure-release-checklist-with-accountable-exceptions/): Tie secure release checks to the deployed artefact, verified provenance and explicit exceptions. Keep missing tests and rollback limits visible.
- [An API inventory should tell you whether the old version can be retired](https://enterprisetechlogic.com/create-an-api-inventory-that-includes-owners-and-dependencies/): Build an API inventory from deployment, gateway and traffic evidence. Confirm owners and consumers so an obsolete version can be retired without breaking service.
- [Shared cloud cost allocation: explain the charge before changing behaviour](https://enterprisetechlogic.com/allocate-shared-cloud-costs-without-hiding-the-assumptions/): Allocate shared cloud costs with a reconciled example. Distinguish measured usage, agreed overhead and unknown ownership before calling a smaller team bill a saving.
- [Build, buy or extend AI: choose the work your team should own](https://enterprisetechlogic.com/build-buy-or-extend-choosing-an-enterprise-ai-delivery-model/): Compare building, buying and extending AI against the same business task. Expose the integration, evaluation and support work each option leaves with your team.
- [Vendor lock-in: decide what is worth keeping before renewal](https://enterprisetechlogic.com/assess-technology-lock-in-before-renewal-becomes-a-deadline/): Assess vendor lock-in through the value of staying and the work of leaving. Test workflow portability, switching costs and timing before renewal narrows the choice.
- [SAST, DAST and SCA: buy coverage your delivery teams can use](https://enterprisetechlogic.com/application-security-tools-choose-coverage-around-the-delivery-workflow/): Compare SAST, DAST and SCA by coverage, access and remediation work. Test real delivery paths before treating scanner findings as a release decision.
- [Reduce alert noise without hiding the next incident](https://enterprisetechlogic.com/reduce-alert-noise-by-changing-ownership-and-response-rules/): Cut duplicate and unactionable pages while preserving incident coverage. Separate grouping, inhibition and trigger changes, then check what the pager misses.
- [Integration platform or custom code? Compare the work after the first failure](https://enterprisetechlogic.com/integration-platform-or-custom-code-how-to-compare-the-operating-burden/): Compare iPaaS and custom integration through retries, schema changes and recovery. Connector availability is only the beginning of the operating-cost decision.
- [Cloud commitments: price the unused hours before buying the discount](https://enterprisetechlogic.com/reserved-commitments-or-flexibility-model-the-trade-off-before-buying/): Compare cloud commitments against low demand and planned migrations. A worked break-even example shows why a headline discount can still increase total cost.
- [An AI acceptable-use policy should answer the employee’s next question](https://enterprisetechlogic.com/write-an-ai-acceptable-use-policy-teams-can-actually-follow/): Write AI policy around tasks, data and review decisions. A supplier-proposal example shows how to give staff a permitted route and a useful escalation path.
- [Write a software RFP that makes suppliers prove the outcome](https://enterprisetechlogic.com/write-an-rfp-around-outcomes-and-acceptance-tests/): Replace vague feature questions with a concrete workflow, required evidence and a pass condition. A focused RFP makes competing answers easier to compare.
- [SBOM requirements: ask for a file your security team can actually use](https://enterprisetechlogic.com/make-an-sbom-request-useful-to-procurement-and-security-teams/): Tie the SBOM to the deployed release, validate its scope and identifiers, and rehearse the vulnerability workflow before treating delivery as acceptance.
- [Set service-level objectives that change what the team works on](https://enterprisetechlogic.com/set-service-level-objectives-that-guide-engineering-decisions/): Define a user outcome, count good and eligible events, and agree what a missed objective changes. A checkout example makes the error-budget arithmetic explicit.
- [Data quality rules: protect the billing decision, not the dashboard score](https://enterprisetechlogic.com/define-data-quality-rules-for-one-critical-business-process/): Turn billing failure modes into precise data quality rules, with clear tolerances and actions. Completeness alone cannot establish whether a customer should be charged.
- [Build a FinOps baseline that separates savings from a smaller bill](https://enterprisetechlogic.com/build-a-finops-baseline-before-promising-cloud-savings/): Reconcile the bill, explain credits and commitment timing, then connect cost to useful output. A worked example shows what a defensible FinOps baseline includes.
- [Build an AI use-case inventory that can trigger a decision](https://enterprisetechlogic.com/build-an-ai-use-case-inventory-with-accountable-owners/): Record the business use, data, authority and owner behind each AI deployment. Build an inventory that exposes changes and sends unresolved uses to a decision.
- [Software evaluation scorecards: when the highest score should not win](https://enterprisetechlogic.com/build-an-enterprise-software-evaluation-scorecard-that-resists-vendor-theatre/): For a procurement lead, a scorecard should explain the trade-off behind a recommendation. Mandatory requirements, evidence gaps and disputed weights need separate treatment.
- [Software supplier security: follow the evidence to the product you are buying](https://enterprisetechlogic.com/evaluate-software-supplier-security-using-evidence-from-the-development-lifecycle/): An application security lead needs assurance about the purchased product and its release process. A supplier's corporate policy is only the beginning of that conversation.
- [Observability platform evaluation: replay the incident your team could not explain](https://enterprisetechlogic.com/evaluate-observability-platforms-with-a-representative-incident/): An operations lead needs evidence that a new platform will help responders reach a defensible diagnosis. A shared incident exercise exposes the gaps a dashboard tour can miss.
- [Buying a data catalogue? Ask it which revenue number to use](https://enterprisetechlogic.com/evaluate-a-data-catalogue-against-the-work-people-need-to-do/): For a data platform lead, catalogue value depends on whether people can find, understand and use the right data. Connector counts leave much of that job untested.
- [Cloud workload placement: follow the dependency before the discount](https://enterprisetechlogic.com/cloud-workload-placement-compare-options-using-requirements-first/): An infrastructure director's placement decision depends on where the application talks, how it fails and who can run it. Compute prices come after those tests.
- [Enterprise AI platforms: make the shortlist prove the workflow](https://enterprisetechlogic.com/evaluate-an-enterprise-ai-platform-using-evidence-from-your-own-workflows/): For enterprise AI leads, the decisive comparison is what each platform delivers inside a real workflow, with real permissions, review effort and support costs.
- [Security tool consolidation: prove what can be switched off](https://enterprisetechlogic.com/security-tool-consolidation-what-to-retain-retire-or-integrate/): Make security-tool retirement depend on detection, investigation and retention evidence, with migration and parallel-running costs in the business case.
- [An AI agent inventory should follow every route to action](https://enterprisetechlogic.com/create-an-identity-inventory-for-ai-agents/): Map each agent tool to its executing identity, permission source, audit evidence and stop control, including changes from user access to shared credentials.
- [Vulnerability metrics: explain what disappeared before claiming progress](https://enterprisetechlogic.com/why-a-falling-vulnerability-count-can-hide-growing-risk/): A smaller vulnerability backlog can hide lost coverage or changed scoring. Show verified fixes, missing assets and unresolved exposure separately.
- [Non-human identities need an owner beyond the next secret rotation](https://enterprisetechlogic.com/non-human-identities-what-needs-an-owner-and-a-lifecycle/): Separate workloads, identities, credentials and permissions so automated access has an accountable owner, a justified scope and a working retirement path.
- [Vulnerability prioritisation: choose the next action, not just the highest score](https://enterprisetechlogic.com/prioritise-vulnerabilities-using-exposure-and-business-impact/): Order remediation by exploitation evidence, reachable access and business consequences, then give each decision an owner, a deadline and a reason to change.
- [Access reviews are unfinished until the permission changes](https://enterprisetechlogic.com/design-access-reviews-that-produce-revocation-decisions/): Give reviewers a business decision they can understand, define what silence means and verify that denied access is removed at the system that grants it.
- [Incident response retainers: find out what starts when you call](https://enterprisetechlogic.com/cyber-incident-retainers-compare-scope-before-comparing-price/): Compare the first response, investigation scope, recovery handover and spending authority. A response-time promise is only one part of an incident retainer.
- [Close SaaS lifecycle gaps at the application, not the identity dashboard](https://enterprisetechlogic.com/fix-joiner-mover-and-leaver-gaps-across-saas-applications/): Test joiner, mover and leaver outcomes inside SaaS applications. Separate provisioning, permissions and session revocation to expose unfinished changes.
- [Enterprise passkeys: choose who controls the credential lifecycle](https://enterprisetechlogic.com/passkeys-for-the-enterprise-choose-a-deployment-model-before-a-tool/): Compare synced and device-bound enterprise passkeys through key custody, shared devices and recovery. Entra policy details show why configuration matters.
- [ZTNA versus VPN: migrate the access journey, not just the tunnel](https://enterprisetechlogic.com/ztna-versus-vpn-decide-using-applications-users-and-failure-modes/): Choose ZTNA or retained VPN access by application, device and failure mode. Test protocol support, denied access and recovery before retiring the old route.
- [RTO and RPO testing: stop the clock when the service works](https://enterprisetechlogic.com/turn-recovery-time-objectives-into-a-testable-recovery-plan/): Turn RTO and RPO targets into recovery tests with observable start and stop points, usable data and evidence of service recovery beyond a completed restore.
- [Ransomware recovery exercises: prove the service can take an order again](https://enterprisetechlogic.com/build-a-ransomware-recovery-exercise-around-one-critical-service/): Design a ransomware tabletop and controlled restore around one business transaction, with safe boundaries, dependency failures and a clear acceptance decision.
- [SIEM, XDR and MDR: find the gap before buying another security layer](https://enterprisetechlogic.com/siem-xdr-and-mdr-which-problem-does-each-solve/): SIEM, XDR and MDR overlap, but the buying decision turns on evidence, investigation and authority to act. Follow one incident to find the missing capability.
- [How to evaluate an MDR service against your operating needs](https://enterprisetechlogic.com/how-to-evaluate-an-mdr-service-against-your-operating-needs/): An MDR contract is also an agreement about who may act. Compare response authority, missing telemetry and retained staffing before comparing prices.
- [Internal developer platforms: prove the journey before buying tools](https://enterprisetechlogic.com/internal-developer-platforms-establish-demand-before-selecting-tools/): Build an internal developer platform case around a supported journey. Compare simpler fixes, test Backstage failure paths and budget for ownership.
- [Attack surface management: turn discovered assets into owned exposure](https://enterprisetechlogic.com/attack-surface-management-establish-the-job-before-selecting-a-platform/): Evaluate attack surface management through attribution, disputed assets and remediation handoffs, with evidence of coverage rather than inventory size alone.
- [Phishing-resistant MFA succeeds when a lost device does not become a bypass](https://enterprisetechlogic.com/plan-a-phishing-resistant-authentication-rollout-that-includes-recovery/): Plan phishing-resistant MFA around enrolment, everyday access and lost-device recovery. Test support routes and application exceptions before expanding coverage.
- [Immutable backups: why protected data can still be hard to recover](https://enterprisetechlogic.com/immutable-backups-the-questions-to-ask-before-buying/): Immutability protects data against particular changes. Recovery also depends on identity, keys, applications and a usable route back to service.
- [Shadow AI: solve the work problem behind the unapproved tool](https://enterprisetechlogic.com/create-a-process-for-reviewing-shadow-ai-use/): Review shadow AI by establishing the task, the data and the limits of the discovery evidence. Close the case with an alternative people can actually use.
- [Privileged access management: choose the first deployment by the work it must protect](https://enterprisetechlogic.com/privileged-access-management-scope-your-first-deployment/): Scope PAM around human administration, service credentials and emergency work. Test role activation, rotation and recovery before expanding coverage.
- [Write an incident response plan people can use during an outage](https://enterprisetechlogic.com/write-an-incident-response-plan-people-can-use-during-an-outage/): Give responders clear authority, offline contacts and separate containment and recovery decisions. Exercise the plan when identity and chat are unavailable.
- [IAM platform evaluation: make the difficult application part of the demonstration](https://enterprisetechlogic.com/iam-platform-evaluation-integration/): Evaluate IAM platforms using lifecycle, application integration, recovery and migration scenarios, with mandatory gates kept separate from weighted preferences.

## Pages

- [Identity procurement and migration scorecard](https://enterprisetechlogic.com/identity-procurement-migration-scorecard/): Set mandatory IAM requirements, compare evidence from three suppliers and prepare the migration decisions that follow.
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