Cybersecurity & Compliance

The pattern is familiar because the incentives produce it. A new class of threat gets attention, a product is evaluated and purchased, and it joins the estate. Nobody retires the previous answer, because retiring it requires proving it is redundant and no one has the time. Repeat over several years and several security leaders.

What you end up with is genuine coverage on paper and poor coverage in practice. Consoles nobody logs into daily. Agents competing for the same endpoint hooks. Overlapping licences where two products do 80% of the same job and the remaining 20% of each is unconfigured. Alerts flowing to a queue that exceeds the team's capacity to triage, which means the alerts are effectively off.

Meanwhile the architecture underneath has not changed. The network is flat, so lateral movement is unimpeded. Identity is over-trusted, so one credential opens many doors. Operational technology sits on the same broadcast domain as the corporate estate because that is how it was cabled in 2011. None of the purchased products address these, because they are not products - they are decisions about how the environment is built.

Our first move on almost every engagement is an audit of what you already own and what it is actually doing. It is common to find substantial unconfigured capability inside existing Microsoft licensing - Defender workloads, Entra features, Purview classification - that closes real gaps at no additional spend. Recommending a purchase before that audit would be a disservice.

Most controls reduce the chance of an intrusion. Segmentation reduces what an intrusion is worth. Those are different jobs, and organisations consistently overspend on the first and underspend on the second - which is why breach post-mortems so often describe an initial foothold that was unremarkable followed by lateral movement that was trivial.

Segmentation is not only a network concern. There are three planes that matter and they interact. Network segmentation limits which systems can reach which. Identity segmentation limits which accounts can administer what, and prevents a single tier of credentials spanning workstations, servers and domain controllers. Data segmentation limits which classified information a given context can read at all.

Operational technology deserves specific attention because the failure mode is different. IT and OT networks have converged in most industrial environments, usually informally, driven by a genuine need for production data in business systems. The result is that a phishing email can reach a control network that was designed on the assumption of physical isolation, and where patching a device may not be possible at all. Segmentation is frequently the only available control.

The work is unglamorous: mapping real traffic flows before writing rules, staging enforcement so a wrong rule does not stop production, and accepting that the first pass will be more permissive than the eventual target. It is also the work that determines whether your next incident is contained to a subnet or becomes a board matter.

A SIEM deployed and left at default settings produces an enormous volume of low-quality signal. The team learns, correctly, that most alerts are noise, and the organisation acquires an expensive tool that has trained its own analysts to ignore it. This is worse than not having it, because it creates documented evidence that you were alerted.

Tuning is the entire job, and it is continuous rather than a deployment task. It means suppressing the benign patterns specific to your environment, enriching alerts with the context an analyst needs to decide in seconds rather than minutes, and writing detections against the behaviours that matter for your threat model rather than every technique in the catalogue.

It also means being honest about severity. An alert that is only actionable during business hours should not page someone at 3am; an alert that indicates active credential abuse should. Getting that distinction right is what makes on-call sustainable, and sustainable on-call is what makes response times real.

We measure this rather than assert it. Mean time to detect, mean time to contain, alert-to-incident ratio, and the proportion of incidents found by monitoring versus reported by users. Those four numbers tell you whether a security operation is working far better than a coverage matrix does.

Most organisations experience compliance as an annual crisis: a month of screenshotting configuration, chasing owners for policy documents, and reconstructing who approved what. It is expensive, it consumes the same engineers who would otherwise be improving things, and it produces evidence of a moment rather than of a practice.

The alternative is to instrument the controls so evidence accumulates continuously. If access reviews run on a cadence and the platform records the decisions, that is the evidence. If configuration is deployed as code through a reviewed pipeline, the pipeline history is the change record. If policy is enforced technically rather than documented aspirationally, the enforcement logs are the proof.

This is why we map controls to your frameworks - ISO 27001, SOC 2, NIST CSF, HIPAA, PCI DSS - at design time rather than afterwards. Knowing which control a given configuration satisfies means the audit conversation becomes a query against systems you already run.

We will not tell you that an engagement makes you compliant. Certification is granted by an assessor against evidence, and it depends on organisational practices well beyond technology. What we will do is build controls that genuinely operate and produce the evidence that they do, which is the part most organisations find hardest.