The technical argument, written out properly.
These are the papers we hand to engineers who want the method rather than the pitch, how a baseline is built, how deviation is scored, where the approach fails, and what we do about that. No registration wall.
Ten papers, no registration wall.
Every NetworkFort white paper, free to download as a PDF straight from this site. Filter by topic, or page through the library.
Ransomware Protection
Identifying ransomware behaviour on the network before encryption begins, and the containment path once it is seen.
Published by NetworkFort.
Healthcare Systems Protection
Protecting clinical networks and connected medical devices without interrupting patient care.
Published by NetworkFort.
IoT Network Protection
Discovering, baselining and protecting connected devices that cannot take an agent.
Published by NetworkFort.
Energy and Utility Security
Cyber Security threats against energy and utility companies are evolving at a much faster rate in recent times
Published by NetworkFort.
Operational Technology (OT) Protection
Being an industrial organization, must be deploying IT technologies in Operational Technology (OT) environments in order to maintain your competitive edge in the market.
Published by NetworkFort.
Government and Defence Security
Detection and response for public sector and defence networks.
Published by NetworkFort.
Comparative Analysis between HIDS and NIDS for Malware Detection
In today’s rapidly evolving cybersecurity landscape, the detection and mitigation of malware threats are of paramount importance for organizations.
Published by NetworkFort.
Countering DNS Exfiltration with NetworkFort
Hackers can exploit many entry points, but a commonly overlooked one today is DNS (Domain Name System).
Published by NetworkFort.
Threat Detection and Response in Cloud Environments
In an era defined by rapid technological advancement, the integration of cloud environments has revolutionized how organizations manage their digital operations.
Published by NetworkFort.
AI-Powered Network Analysis
NetworkFort uses AI-powered network analysis to enhance cybersecurity.
Published by NetworkFort.
Four rules the authors keep.
These exist because most vendor papers are unreadable, and we have read a lot of them.
Method before claim
Every assertion is preceded by how it was measured, including sample size.
Negative results included
Where the approach underperformed, the paper says so and shows the data.
Reproducible where possible
Anonymised datasets and the scoring logic are described well enough to be argued with.
Written by practitioners
The authors are the analysts and engineers who built the thing, not a content team.
Three audiences, deliberately.
The papers are technical, but not all of them are for engineers.
- Method detailEnough to evaluate the approach on its merits rather than on our word.
- Failure modesThe specific conditions under which detection degrades.
- Integration realityWhat it takes to collect the telemetry the model needs.
- Coverage argumentsWhat behavioural baselining adds to a stack you already own.
- Staffing implicationsWhat changes about alert volume, and therefore about rota planning.
- Evidence qualityWhat you can hand an auditor afterwards.
- Consequence framingWhat contained and uncontained incidents cost, in operational terms.
- Programme sequencingWhich segment to start with, and why the tightest one first.
- Honest limitsWhat this does not solve, so the board hears it from you first.
Argue with the method.
If you disagree with a paper, the person who wrote it will take the call. That is the most useful conversation we have.