In the rapidly evolving digital landscape, enterprises are continually seeking to enhance their cybersecurity frameworks. With cyber threats evolving at an unprecedented pace, traditional security ...

Zero-day cyberattacks pose unique challenges for IT organizations, due in large part to their inherent novelty. Verizon’s 2024 Data Breach Investigations Report (DBIR) found that attacks involving ...

As artificial intelligence reshapes the cyber ... their attacks. The dynamic nature of AI-driven ransomware poses significant challenges for detection and defense. Traditional signature-based ...

Advanced malware can change forms to evade detection, and using a traditional signature-based approach makes it very difficult to detect such advanced attacks ... a machine learning model to ...

Machine learning ... an attack but nonetheless result in radically different model outputs. In a cybersecurity-specific case of an evasion attack, security researchers manually modified a malicious ...

Indeed, AI has become a reliable ally in preventing unwanted outcomes, thanks to the anomaly detection and forecasting capabilities of its sub-branch known as machine learning. But what are these ...

This is the crux of the emerging field of adversarial machine learning. The rapid progress in computer ... further increasing the likelihood of email-based cyber attacks. In summary, AI-enabled ...