Responsibilities
- Review and assess third-party AI tools, enterprise AI platforms, and new AI-enabled features, including solutions such as ChatGPT, Claude, Microsoft Copilot, and other emerging technologies.
- Review and assess requests relating to AI-enabled solutions, enterprise AI platforms, new features, integrations, and internally developed applications.
- Provide security architecture guidance for applications and solutions developed or introduced by the AI team.
- Support the implementation of security guardrails, governance processes, and secure design patterns for AI adoption across the firm.
- Conduct STRIDE-based threat modelling for new internally developed solutions, AI-enabled workflows, integrations, and automation use cases.
- Assess risks associated with AI use cases, including data exposure, prompt injection, model misuse, third-party dependency risk, inappropriate access to sensitive information, and insecure integrations.
- Advise on secure design principles, including identity and access management, data protection, logging, monitoring, encryption, resilience, and secure configuration.
- Define and document security requirements, architecture decisions, design recommendations, and risk-based remediation actions.
- Monitor emerging AI security risks, attacker techniques, and industry best practices, ensuring relevant mitigations are considered within Brunswick's environment.
Requirements
- 5-7 years' experience in cyber security, information security, security engineering, or a related technical security role.
- Proven experience providing security guidance across technology projects, enterprise platforms, AI-related initiatives, third-party tools, cloud-based solutions, or internally developed applications.
- Strong understanding of security architecture and secure design principles, including identity and access management, data protection, logging, monitoring, encryption, network security, and resilience.
- Familiarity with AI-related technologies, enterprise AI platforms, large language models, agentic AI, and the security risks associated with AI adoption.
- Experience conducting STRIDE-based threat modelling, technical risk assessments, or security design reviews.
- Practical understanding of cloud and enterprise environments, particularly Microsoft 365, Azure, SaaS platforms, and modern workplace technologies.
- Ability to translate technical security risks into clear, business-focused recommendations.
- Strong written and verbal communication skills, with confidence engaging technical and non-technical stakeholders.
- Understanding of security risks associated with third-party AI tools, internally developed AI applications, integrations, automation, and agent-based use cases.
- Sound judgement, attention to detail, and the ability to balance security requirements with business needs.
Nice to Have
- Experience working in an ISO27001-aligned or regulated environment would be beneficial.
- Preferred, but not essential, certifications: ISC2: CISSP, CCSP, SSCP
- Preferred, but not essential, certifications: ISACA: CISM, CISA, CRISC
- Preferred, but not essential, certifications: CompTIA: Security+, CySA+, CASP+