Cyber security consulting and managed services for critical infrastructure
Bridewell is a UK-based security consulting and managed services firm focused on critical national infrastructure (CNI) and highly regulated sectors. The tech stack reveals a Microsoft-centric posture (Azure, Sentinel, Entra, DevOps) paired with emerging AI/ML capabilities (TensorFlow, PyTorch, LangChain), while active adoption of XDR and SOAR signals a shift toward automated threat response. Project backlog is heavily weighted toward operational technology (OT) incident response maturity and ISMS design—areas where manual processes and legacy device constraints are creating friction at scale.
Bridewell advises and protects organisations in critical national infrastructure, financial services, and other heavily regulated sectors. Founded in 2013, the firm operates across cyber consulting (penetration testing, risk assessments, identity and access management), managed security services, and Microsoft Security implementation. Their team holds accreditation from NCSC, CREST, IASME, PCI DSS QSA, and SOC 2. Core engagements include designing information security management systems (ISMS), guiding ISO/IEC 27001 certification, executing complex security projects, and building OT incident response capabilities. Staffing is concentrated in security roles (6 of 7 active hires in last 30 days), with seniority skewed toward senior and lead positions.
Bridewell's core stack includes Microsoft Azure (storage, Key Vault, SQL, Event Hubs, Cosmos DB, Logic Apps), Microsoft Sentinel (SIEM), Azure Entra (identity), and Salesforce (CRM). They actively adopt XDR and SOAR. Analytics and visualization layer uses Neo4j and Power BI.
Current projects include ISMS design and ISO/IEC 27001 certification support, OT incident response playbook and exercise design, managed SOC expansion, Microsoft Sentinel proof-of-concepts, custom data connectors, and ICS/SCADA risk assessments for critical infrastructure clients.
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Bridewell's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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