AI & intelligent security / LLM Security Service
Protect the system
around the model.
Assess the security of applications built around large language models, including prompts, retrieval, tools, permissions, and sensitive information.
Discuss your requirements ↗THE CHALLENGE
Understand the need.
Define the right response.
Model behaviour is only part of an LLM application's exposure. The connections to enterprise data and tools can shape the most significant security consequences.
WHAT WE DO
Map the LLM application, data sources, tools, and trust boundaries.
Evaluate relevant prompt injection, data exposure, and authorisation scenarios.
Review retrieval access, output handling, and tool-use controls.
Recommend and validate agreed security improvements.
WHAT YOU RECEIVE
Clear work.
Practical outcomes.
A QUESTION WORTH ASKING
How is this different from AI red teaming?+
LLM security can include architecture and control review alongside testing. AI red teaming focuses on challenging behaviour through agreed adversarial scenarios; the two can be combined.
How do we get started?+
Tell us about your organisation and the challenge you want to address. We will work with you to define the objective, boundaries, deliverables, and responsibilities before the engagement begins.
LET’S WORK IT OUT. TOGETHER.
Let’s define the right starting point.
Assess the security of applications built around large language models, including prompts, retrieval, tools, permissions, and sensitive information.