Prompt injection
Get visibility into the systems and integrations that create exposure.
AI Runtime Security
Build controls around prompts, data and autonomous actions. Practical assessment and engineering for the way your team works.
Book a scoping callModels interact with real data, people and tools. Security needs to account for how the whole system behaves.
Get visibility into the systems and integrations that create exposure.
Understand the context, ownership and controls around each risk.
Translate the findings into concrete next steps and verification.
Review the right signals. Understand the context. Prioritize the next step.
Connect technical depth with an actionable security plan.
Map the assets, entry points and dependencies in the agreed scope.
Identify gaps and define controls your team can put into practice.
Connect evidence to owners, priorities and remediation work.
Bring security context into architecture and delivery decisions.
Document the result and agree how controls will be validated.
Our approach
“Start with the real system. Agree the assets, boundaries and outcomes before testing begins.”
Innovation Hub
Perspectives, practical starting points and external research.
Start with a clear view of your risks and a practical plan to address them.
Book a scoping call