Page 213 - Cyber Defense eMagazine August 2024

In Berlin, police estimated En Berlin, la police a estimé 6 À Berlin, la police estime qu'il y
6,500 protestors. 500 manifestants. avait environ 6 500
manifestants.

An inquiry was established Une enquête a été créée pour Une enquête a été ouverte.
to investigate. mener une enquête.

It has the same molecular Il a la même structure Il a la même structure
structure whether it is a gas, moléculaire quelle que soit son moléculaire, qu’il s’agisse d’un
liquid, or solid. état (gaz, liquide ou solide). gaz, d’un liquide ou d’un solide.

Since moving to the Depuis son arrivée à la Depuis son arrivée dans la
Catalan-capital, Vidal had capitale catalane, Vidal avait capitale catalane, Vidal a joué
played 49 games for the joué 49 matchs pour le club. 49 matchs pour le club.
club.

Broader Implications

The importance of trust in AI cannot be overstated. The resilience and reliability of GenAI models is
becoming critical as enterprises increasingly integrate GenAI into business processes. Evaluating AI
models during their inference phase — when they are actively generating outputs — is essential for
ensuring they are trustworthy, effective, private and secure.

AI Security’s Role is The Ecosystem’s Foundation

As AI technology evolves, so do the strategies and tools required to secure it. AI security is not just about
protecting models from external threats, but also about ensuring they operate ethically and responsibly,
providing insights into potential risks and vulnerabilities. This includes adhering to regulatory
requirements, maintaining transparency, and safeguarding user privacy. Comprehensive AI security
platforms are an essential foundation of the AI and GenAI ecosystem.

Cyber Defense eMagazine – August 2024 Edition 213
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