What is AI Assurance?
“AI Assurance helps organisations understand how an AI-enabled system behaves under defined conditions and what risks or consequences may arise when it interacts with the environment in which it is intended to operate.”
CybExer Technologies is a Cybersecurity company based in Estonia.
“AI Assurance helps organisations understand how an AI-enabled system behaves under defined conditions and what risks or consequences may arise when it interacts with the environment in which it is intended to operate.”
“AI red teaming can identify ways an AI system can be manipulated or made to fail. Penetration testing can identify vulnerabilities in technical systems.”
“AI sandboxes provide controlled environments for testing AI models, applications or code.”
“No. Only the systems, dependencies and conditions relevant to the assurance question need to be represented.”
“Yes. A digital twin can include IT, OT and IoT systems. The test follows an AI-initiated action towards a control-system interface, recording the response of each security control and the likely outcome if those controls fail.”
“Testing is designed around the security, confidentiality and deployment requirements of the system being assessed. The delivery and data-handling approach is agreed according to customer requirements. If needed, the entire test can run on your infrastructure with no connection to external networks. Models, prompts, data and system details never leave your environment.”
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