AI Systems Engineering
Agents, RAG pipelines, LLM integrations, and document automation, taken from idea to production. 20+ systems shipped end-to-end: self-hosted, Dockerised, and built to run every day, not to demo once.
I’m Nick Falshaw. I’ve shipped 20+ production AI systems, agents, RAG pipelines, and document automation, and I’ve spent 17+ years securing enterprise networks in banking, automotive, manufacturing, and regulated infrastructure. Building AI and securing AI are usually two hires. Here they’re one.
$ whoami Nick Falshaw, AI Engineer & AI Security Consultant $ cat focus.txt AI systems engineering AI security engineering Firewall automation at scale Cloud, zero trust & ISO 27001 $ ls ./proof RogueAI # 20+ production AI systems fwchange.com # firewall change automation $ cat creds.txt AI-102 · AZ-500 · ISO 27001 LI · CEH · TOGAF 9 · CCIE Sec (written) $ _
Need an AI system built, or an existing one secured? I do both: agents and pipelines that ship, controls that survive production pressure, and the evidence to prove it. Firewall automation and ISO 27001 stay in the toolkit.
Agents, RAG pipelines, LLM integrations, and document automation, taken from idea to production. 20+ systems shipped end-to-end: self-hosted, Dockerised, and built to run every day, not to demo once.
Agents take action, RAG pipelines expose context, and MCP servers expand the attack surface. I threat-model agentic systems, lock down ingestion, and harden self-hosted LLM stacks before they reach production.
Vendor-agnostic change automation grounded in 280+ real migrations across Palo Alto, Check Point, Cisco, Fortinet, and F5. Rule sets that survive audit, segmentation that holds, and automation that removes the human bottleneck.
Identity-first security for Azure and hybrid estates: conditional access, segmentation, and least privilege, prioritised by the risk each control actually removes rather than the logo on the box.
ISO 27001 from gap analysis through certification, plus NIS2 and DORA readiness for regulated sectors. Passing the audit is the easy part, the goal is a programme that still holds the day something breaks.
Two live platforms back the claims: production code, real deployments, and audit evidence you can inspect. The work is public enough to judge before we speak.
Production firewalls, regulated audits, and AI systems shipped end-to-end, the record, not the pitch.
Building and securing AI systems: agents, RAG pipelines, and document automation on the build side, agentic threat modelling and self-hosted LLM hardening on the defence side. Firewall automation and ISO 27001 programmes for regulated estates. Two live platforms built end-to-end, FwChange.com and RogueAI.
Fifteen years contracting into DAX-30 and enterprise environments, banking, automotive, manufacturing, payments and the public sector. Delivered 280+ firewall migrations and the security architecture behind them, multi-vendor and audit-ready.
Enterprise routing, switching and perimeter security, the grounding that seventeen years of firewall, compliance and now AI-security work is built on.
Two live platforms and two regulated specialisms. Open them, read the public evidence, and judge the work before a call.
20+ production AI systems built end-to-end: RAG pipelines, autonomous agents, LoRA fine-tuning, and document automation. Self-hosted, Dockerised, and written by one operator.
Open the portfolio ProductVendor-agnostic firewall change automation. Rule analysis, drift detection, and audit-ready evidence built from 280+ migrations across Palo Alto, Fortinet, Cisco ASA, and Check Point.
Open the platformPractical writing on firewalls, compliance, and shipping AI systems that survive real users.
A Check Point VPN zero-day and the BadHost flaw in Starlette are the same CWE-287 mistake, one stack apart: trusting attacker-controlled input to authenticate.
ReadFor 17 years I scored security risk in CVSS. Anthropic just gave AI agents their own number: a 31.5% prompt-injection hijack rate. The risk discipline transfers.
ReadA root-RCE firewall CVE and a poisoned AI-agent skill marketplace share one root cause: no provenance, no least privilege, no change control.
ReadWhere production LLM systems break first, based on mapping the OWASP LLM Top 10 against real codebases.
ReadMost AI demos die before production. After 20+ systems across RAG, agents, LoRA, and document AI, here is what cost, latency, and deployment teach.
ReadZero Trust for the Mittelstand, not the Fortune 500: identity, segmentation, and continuous verification without a full rebuild.
ReadSeventeen years inside enterprise firewalls: why change control keeps failing, and why I built FwChange.
ReadFifteen-plus years across enterprise firewalls, NIS2, incident response, and testing, and what good consulting has to deliver.
ReadThe nine numbers a network security leader needs to justify automation budget and prove the value to the board.
ReadHow a fractional CISO closes the NIS2 + GDPR maturity gap without hiring a senior full-time CISO.
ReadThe seven numbers that make security spend defensible: risk reduction, audit savings, response speed, and revenue protection.
ReadThe backbone of Europe’s economy built its advantage through engineering, not security. Here is what BSI deadlines require and how to close the gap.
ReadHundreds of assessments across TISAX, PCI-DSS, ISO 27001, and NIS2, plus the lessons that do not appear in any framework.
ReadWhat European enterprises actually need across NIS2, the EU AI Act and AI risk management, what to scope, and where to start.
ReadHow to reduce alert noise, find novel attacker behaviour, and turn detection maturity into evidence the board can understand.
ReadThe method stays consistent whether I’m building an AI system or securing one: evidence first, architecture second, implementation third, verification always.
Map what’s really deployed, topology, AI workloads, identity, threat surface, regulatory scope. Facts, not assumptions.
Design the target state and the path to it. AI controls and network defences on one blueprint, prioritised by risk and effort.
Build it: firewall automation, RAG controls, identity, and segmentation hardened against the vectors that actually land.
Prove it under real load. Useful alerting, owned runbooks, and audit evidence produced as part of delivery.
Building an AI system? Running one that’s never been threat-modelled? Still on firewalls and ISO 27001? Tell me what you’re building or defending and what deadline matters. I reply within one business day.
You’ll get a real reply from me within one business day.