Emerging advisory capability
Securing intelligent applications, automated workflows and AI-enabled integrations where digital decisions can affect real-world operations.
Help organisations adopt AI-enabled technology with appropriate security boundaries, identity controls, oversight and auditability.
Remote advisory and architecture delivery are available where appropriate, subject to client requirements, agreed scope and authorised access.
Emerging advisory capability. No claims of established AI security client engagements, specialist AI red-team delivery or proprietary AI security tooling.
Our approach
AI agents need distinct identities, narrowly scoped authorisation and least-privilege access to approved information sources. Separate retrieval of industrial information from privileged actions. Protect confidential operational data, validate information integrity and constrain access across established IT/OT trust boundaries.
Retrieved documents, user prompts and external tool responses can contain prompt injection or misleading instructions. Architecture threat modelling considers these inputs, data leakage, excessive agency and unsafe tool use, with OWASP LLM security risks informing the review. Treat model output as untrusted rather than as authority to change industrial systems.
Keep AI advisory functions separate from operational control authority. Sensitive workflows require explicit human approval, independent authorisation checks and defined failure behaviour. Industrial AI must respect operational safety, availability and established change-control processes; a model recommendation is not permission to actuate equipment.
Record agent identity, approved data access, tool calls, decisions and human approvals with appropriate confidentiality controls. Make actions attributable and reviewable. Define responsibility for oversight, incident investigation and stopping a workflow when evidence is incomplete.
Illustrative scenarios, not completed CYBRIEM client projects.