Cyberlytica / Team
Our work is grounded in research across AI, cybersecurity, privacy law and human-centred design. We are building an AI privacy engine that analyses digital assets and identifies privacy risks in a similar way that security tools identify cybersecurity risks.
We use information from various sources to assess mobile apps, desktop software, websites, online services and smart devices, and turn complex privacy behaviour into clear risk signals.
Our first go-to-market product brings this technology to Microsoft Intune. It helps organisations govern managed mobile apps, detect privacy risks, enforce internal policies and generate audit-ready evidence for ISO 27001, ISO 27701 and internal compliance reviews.
Executive profiles
Cyberlytica is led by researchers combining AI, cybersecurity, privacy law and digital policy expertise.
AI and cybersecurity researcher with experience across privacy risk, network security, digital forensics, NLP and security data visualisation. Previously led an AI team in Huawei R&D and conducted research at Newcastle, Durham and Toulouse universities.
AI, privacy law and digital policy researcher specialising in data protection, cybersecurity regulation and socio-technical governance. Rebecca brings legal and policy expertise to Cyberlytica's privacy-risk and compliance work.
Advisory board
Cyberlytica's advisory board supports commercialisation, research collaboration and the design of responsible AI privacy tools.
We are open to conversations with pilot organisations, commercial partners and investors interested in privacy-enhancing technologies and practical digital governance.
