4 of 4 Permanent Threat Modelling Jobs in Cambridgeshire

cloud infrastructures. Contribute to blogs and research within the Cyberfort community. Experience Required The successful candidate will possess proven experience in cybersecurity, security architecture, threat modelling, or related fields within Public Sector and MOD and will have achieved or be working towards Full Membership of CIISEC … NPSA and NCSC security policies, standards and guidance. Have experience building and implementing secure by design principals within the software development lifecycle (SDLC). Threat Modelling - Kill Chain - Attack tree analysis. Working understanding of: Cloud security including Azure, Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups ...

information security management systems, e.g. NIST, ISO Experience of developing and managing a Cyber Incident Response capability Experience of developing Security Awareness training including Threat Modelling, table top war gaming Experience in tracing through and evaluating responses to security requirements for a system Experience in maintaining elements ...

DevSecOps, security tooling implementation, policy and procedure, risk evaluation, etc. What You Will Be Doing Conducting enterprise, network, and application level security reviews. Conducting threat modelling for infrastructure, platform, and application initiatives. Planning and overseeing execution of security initiatives and projects Partnering with infrastructure, platform, and application teams ...

further afield. Key responsibilities Contribute to or manage interdisciplinary projects assessing the national and international policy implications of AI advances. Develop and help operationalise threat models for high-consequence risks associated with AI systems. Help design and execute rigorous, data-driven evaluations of AI capabilities relevant to innovation, safety … development processes. Experience conducting rigorous mixed-methods research, ideally including both quantitative analysis and qualitative insight generation. Proven ability to use data science, AI modelling, or computational approaches to address policy-relevant or scientific questions. Proficiency in relevant tools such as Python, R, or machine learning frameworks (e.g. PyTorch ...