▶️ Bio your way, with a dash of cybersecurity.

I fell into the world of ‘cyber’ a bit like falling off a chair… I don’t have the classic background of a 90s geek (I touched my first computer when I was 20).

My credo was music, and I was destined for a career as a musician (drummer).

But a series of encounters (and disappointments too) led me down this alternative path. 22 years later: I regret nothing!

▶️ What makes you want to get involved in cybersecurity every day?

I think what drives me is the utopian belief that the good guys can win in the end.

I take great pleasure in helping my clients to identify the bad guys (who are not always outside the company…) and help them to defend themselves.

▶️ Which song have you chosen, with a direct or subtle link to cybersecurity?

‘Résiste, France Gall.”

There could be so many, but France Gall’s song Résiste meets all the criteria.

Above all, it’s a very good song and an artist who has crossed generations. And her song reflects what companies go through on a daily basis.

I did a remix of this track a few years ago, so I’m taking advantage of it.

▶️ Extract that brings the song and cybersecurity closer together.

Simply its title ‘Résiste’. 🙂

▶️ A conclusion.

More like a quote from Benjamin Franklin: ‘What we fear happens more often than what we hope for.’

📢 Glossary: data security and AI security.

Both data security and AI security are critical for ensuring the integrity, confidentiality, and availability of data and systems in the digital landscape.

Data security is a set of technical and organisational measures designed to protect digital information throughout its lifecycle against unauthorised access, corruption, theft or loss. It encompasses the protection of data confidentiality, integrity and availability, covering all aspects of information security, from hardware and software to access controls and organisational policies. The main objective is to ensure that only authorised people can access and use sensitive data, while protecting it from internal and external threats.

AI security protects artificial intelligence systems against potential risks. It covers:
– Protection against attacks: Defending AI models against manipulation.
– Data confidentiality: Handling personal information ethically.
– Robustness: guaranteeing consistent and reliable operation.
– Transparency: Understanding AI decision-making processes.
– Ethics: Preventing algorithmic bias.
– Governance: Maintaining human control over systems.