Scott Gardner

Security leadership,
built not presented.

Three decades at the centre of how enterprises detect, defend and recover — SIEM and SOC, cyber and ransomware recovery, applied AI, and enterprise security architecture.

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Profile

A security leader who has spent thirty years across the detection lifecycle — from the first generation of enterprise SIEM through to building AI-driven cyber recovery today.

The combination is unusual: deep technical authority in SIEM, SOC, threat intelligence and cyber recovery; analyst-grade market fluency from a Global Practice Lead role at Gartner; and Partner, Director and Head-of-Practice commercial leadership across IBM, CGI, Atos and Wipro. Equally credible in front of a CISO buying committee, on a SOC floor, and in the codebase.

Capability

SIEM & SOC

Thirty years across the detection lifecycle. SIEM practitioner since the technology's earliest enterprise deployments. Designed and deployed a Security Operations Centre end to end for a regulated energy utility.

Cyber & ransomware recovery

Architectural lead on a regulated multi-cloud Cyber Recovery as a Service programme; currently building an AI-driven ransomware recovery capability for a critical national infrastructure operator.

Applied AI in security

Production use of LLMs over a graph-native intelligence core — AI-augmented IaC pipelines, automated threat extraction, and an MCP-exposed query layer. AI as leverage on judgement, not theatre.

Enterprise & security architecture

Three decades designing systems that survive vendor substitution and scale under pressure, across AWS and Azure, IaC-first, from Director and Partner-grade positions.

Commercial & sales leadership

Global Practice Lead at Gartner, Head of Cyber Defence Advisory for Northern Europe at Atos, Deputy Chief Security Architect at IBM, Partner at Wipro. Shaped enterprise buying decisions, led pre-sales solutioning, carried Partner-grade commercial responsibility.

Market & analyst insight

Gartner Global Practice and Key-Initiative lead for infrastructure, platform, operations and security — a direct view of the vendor landscape, the buyer, and where the market is heading.

Selected work

  • Deployed a regulated utility's Security Operations Centre. Designed and stood up the SOC end to end for a major regulated energy utility — people, process, tooling and detection content.
  • Led a multi-cloud Cyber Recovery programme reset. Architectural lead across a five-business-unit estate spanning AWS and Azure, Terraform-codified, against an approved multi-million-pound budget. Designed a gated factory-model recovery approach and the executive evidence base behind it.
  • Building AI-driven ransomware recovery. Architecting and developing an AI-driven recovery capability combining cyber-recovery automation with applied AI over a recovery dependency graph, to compress recovery time under live-incident conditions.
  • Built a graph-native threat intelligence platform from scratch. Founder and architect of NinjaSignal — a suite of production security applications on a self-designed multi-vector graph core, built on why graph and ML beat SIEM noise for real detection.
  • Turned analyst authority into demand. As Gartner Global Practice Lead, shaped how enterprise security and infrastructure buyers made decisions — the analyst seat vendor field leaders most want on their side of the table.

Independent platform

Founder and architect of NinjaSignal, a suite of production security applications on a self-designed multi-vector graph architecture with full cross-graph traversal. The core concept predates the current AI wave — designed in 2018, building on enterprise threat-intelligence work going back to early Watson exposure in 2014.

Graph-native intelligence

Community-detection-first analytics over multi-source feeds — GreyNoise, EPSS, CertStream, APT tracking, VirusTotal — with regex-first IOC extraction.

Production engineering

FastAPI, NATS JetStream, Next.js and the Claude API across dedicated production infrastructure.

Applied AI, done properly

LLM inference as the last step over graph-derived context — the graph does the thinking, the model writes it — plus AI-augmented Terraform codification and an MCP server exposing platform queries to agents.

Advanced analytics

Monte Carlo failure injection and causal inference over recovery dependency graphs for probabilistic recovery-time modelling.

Career

Lead Enterprise Security Architect & Transformation AdvisorNinjaIng Ltd — current
Head of Cyber Defence Advisory, Northern EuropeAtos
PartnerWipro
Global Practice Lead; Head of Infrastructure, Platform, Operations & SecurityGartner
Director — Head of Consulting ArchitectureCGI
Deputy Chief Security ArchitectIBM
Master-Level SIEM ConsultantHP
EMEA Lead — Enterprise Security ArchitectureTrustwave
Security ConsultantZepko
Security Engineer — early SIEM eraRSA Security
Security EngineerLogica

Credentials

MSc, Information Security UK Security Clearance (SC) — held continuously since 2008 Technical commentator on enterprise AI security, autonomous DevSecOps and cyber recovery