Cyber Security Consultant

Cyber Security Consulting AI and Agentic System Security Conduct cyber security assessments across technology estates, cloud environments, applications, networks, identity platforms and operational processes. Review security architectures and provide pragmatic recommendations aligned to business risk. Support the design and implementation of security controls across areas such as access management, data protection, logging and monitoring, vulnerability management, incident response and third-party risk. Help clients interpret security requirements, assess control maturity and develop actionable improvement roadmaps. Translate technical findings into clear, business-relevant advice for senior stakeholders. Assess the security risks associated with AI-enabled applications, LLM integrations, AI agents, autonomous workflows and model-connected business processes. Review AI system designs for risks such as prompt injection, excessive agency, data leakage, insecure tool use, unsafe output handling, model supply chain exposure and weak human oversight. Support threat modelling for agentic systems, including how agents access tools, call APIs, retrieve data, make decisions and trigger actions. Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human-in-the-loop controls. Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment. AI-Enabled Security Operations Identify opportunities to use AI safely to improve cyber security operations, such as alert triage, threat intelligence enrichment, incident summarisation, detection engineering, reporting, vulnerability prioritisation and control testing. Support the evaluation and adoption of AI-enabled security tools, ensuring appropriate security, privacy, governance and operational safeguards are in place. Help security teams design workflows where AI augments analysts without introducing unacceptable risk, over-reliance or loss of accountability. Develop practical playbooks, guardrails and operating models for the responsible use of AI within SOC, GRC, vulnerability management and incident response functions. Strong background in cyber security consulting, security architecture, risk management or security operations. Good understanding of common security domains, including identity and access management, cloud security, application security, data protection, vulnerability management, incident response and security monitoring. Ability to assess technical environments and produce clear, prioritised recommendations. Experience engaging with both technical teams and senior business stakeholders. Understanding of AI, generative AI or LLM-enabled systems, including how AI applications interact with data, prompts, APIs, tools and users. Awareness of emerging AI security risks such as prompt injection, sensitive information disclosure, excessive agency, insecure output handling, model/data poisoning, vector or embedding weaknesses and AI supply chain risk. Ability to perform threat modelling for complex systems, including AI-assisted or agentic workflows. Strong written and verbal communication skills, with the ability to explain emerging technical risks in simple, practical terms. #J-18808-Ljbffr