Security Teams Are Fixing the Wrong Threats. Here’s How to Course-Correct in the Age of AI Attacks

Cyberattacks are no longer manual, linear operations. With AI now embedded into offensive strategies, attackers are developing polymorphic malware, automating ...
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Evaluating potential cybersecurity threats of advanced AI

Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning ...
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Evaluating potential cybersecurity threats of advanced AI

Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning ...
Read more
Hospitals Are the Target in a New Kind of Cyberwar

Since the earliest days of cybercrime, healthcare data has been a prime target. Until recently, most cyberattacks on hospitals followed ...
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Securing Access at Machine Speed: Why SASE Is the Architecture for the AI Age

AI-powered adversaries have redefined what fast looks like. Credential stuffing at machine speed. Behavioral mimicry that defeats anomaly detection. And ...
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Jailbreaking Text-to-Video Systems with Rewritten Prompts

Researchers have tested a method for rewriting blocked prompts in text-to-video systems so they slip past safety filters without changing ...
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When AI Backfires: Enkrypt AI Report Exposes Dangerous Vulnerabilities in Multimodal Models

In May 2025, Enkrypt AI released its Multimodal Red Teaming Report, a chilling analysis that revealed just how easily advanced ...
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New method efficiently safeguards sensitive AI training data | MIT News

Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers ...
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Evaluating potential cybersecurity threats of advanced AI

Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning ...
Read more