Systematic Biases in Generative AI Models: The Hidden Influence of Design Decisions and Training Data

This article examines the multifaceted nature of biases in generative artificial intelligence systems, with particular emphasis on the significant yet often overlooked influence of developer-implemented guardrails. While biases inherited from training datasets have received substantial scholarly attention, this analysis argues that the intentional constraints, filters,...

Cybersecurity KPIs: How to Measure and Improve Your Security Posture

“If you don’t measure it, you can’t improve it.” This maxim also applies to cybersecurity: without clear KPIs and constant monitoring, companies are blindly navigating a sea of ​​ever-changing threats. But which metrics really matter? And how can we use them to strengthen cybersecurity?

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Phishing 2.0: The Emergence of AI-Powered Threats and the Rise of Deepfake Fraud

AI has revolutionized phishing, enabling deepfake videos, synthetic voices, and AI-generated text to bypass security measures. Cybercriminals use machine learning to craft highly personalized attacks, mimicking real communication. This article explores the growing threat and highlights the urgent need for AI-driven detection tools, biometric authentication,...