06 — Services

AI Security & AI-Powered Cybersecurity

Securing the AI systems you build, and using AI carefully to strengthen security.

Overview

AI introduces new risks: models that can be manipulated, data that can leak through answers, and automated decisions that need oversight.

This service area has two sides that we keep separate: securing AI systems themselves, and using AI to improve security operations.

Protecting the models, applications and data that make up your AI systems.

AI security assessments
A structured review of an AI system: its model, data flows, integrations and controls.
LLM and generative AI security
Review of how large language models are integrated, what they can access and how their outputs are used.
Prompt injection and jailbreak testing
Adversarial testing of whether instructions can be overridden or safety controls bypassed.
RAG and data leakage risk assessment
Checks on whether retrieval-augmented systems can expose documents or data to the wrong people.
AI application threat modeling
Systematic identification of threats to an AI-enabled application, before or during development.
AI governance and risk advisory
Guidance on policies, accountability and risk management for the use of AI.

Using AI to help detect and respond to threats, with people kept in control.

AI-assisted threat detection and security operations
Advice on applying AI to triage alerts, spot anomalies and speed up investigation, with human review of every decision.

Understand the system
Map the model, its data, its users and what it is allowed to do.
Model the threats
Identify how the system could be misused, manipulated or made to leak data.
Test
Exercise the system with adversarial inputs within agreed boundaries.
Advise
Recommend technical controls and governance proportionate to the risk.

Scope and deliverables are indicative. Every engagement is scoped with you before work begins.

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