LLM and AI system security
Assess the controls and limits of an AI use case and how it integrates with data, users and tools.
When to consider it
Before opening an assistant, chatbot or agent to customers or employees, or when a model can access internal data or take actions.
How we work on it
We map the use case, its data, permissions and tools; agree on which limits to assess; and test scenarios such as instruction manipulation or data leakage, within the authorized systems.
What you get
A map of the use case, the limits assessed, results, recommendations and re-assessment criteria.
What it doesn't include
It does not certify that a model is safe in every situation, nor does it extend permissions to third-party systems.
Scope, deliverables and conditions are agreed for each project.
Also in assess an existing digital operation
Web application and API pentesting
An authorized assessment of applications, interfaces and business flows to identify risks and prioritize fixes with evidence.
View detailsDigital exposure and corporate OSINT
Understand which public information and assets linked to your organization need attention, with attribution and context.
View detailsContinuous vulnerability management
Organize findings, priorities, owners and verifications to keep a clear view of what has been fixed and what is pending.
View detailsSecure infrastructure and cloud configuration review
Review configurations and architecture decisions on agreed components to identify prioritized, contextualized improvements.
View details
Next step
Shall we talk about your case?
Tell us your goal and the general context. Please don't include passwords or sensitive information.