A central concern raised is the rise of "shadow AI", unsanctioned or undocumented AI deployments, used in enterprise ...

To optimize generative AI ... detection, and cybersecurity training. However, it also brings model training vulnerabilities, data privacy issues, jailbreaking concerns, and can be used for cyber ...

As a result, companies need to implement state-of-the-art tech­nology to protect their data and systems. In cybersecurity, artificial intelligence (AI) and generative AI have become game-changing ...

A new report from researchers at Ontinue's Cyber Defense Center has identified a complex ... The use of vishing techniques shows how attackers are increasing their use of generative AI tools in ...

For instance, teams can practise containment tactics and recovery procedures using generative AI to mimic ransomware attacks. Enhancing phishing and fraud detection through Deep Learning If we ...

A new report from Ontinue's Cyber Defense Center has identified a complex ... The use of vishing techniques shows how attackers are increasing their use of generative AI tools in attacks — in this ...

generative AI can flag these activities for review. By incorporating reinforcement learning, these models continuously adapt to changes in user roles and behaviors, refining their detection ...

While a traditional single-prompt generative AI tool might help hackers write malware or phishing lures, agentic AI promises a far more dangerous paradigm in which attacks are executed end-to-end ...

This article explores the foundations of AI-driven cyber-attacks ... human intelligence and learning. These technologies are used in cybersecurity for threat detection, automated response ...

Cybercriminals are weaponizing artificial intelligence (AI) across every attack phase. Large language models (LLMs) craft hyper-personalized phishing emails by scraping targets' social media ...

The speed at which cyber threats are ... recovery procedures using generative AI to mimic ransomware attacks. Enhancing phishing and fraud detection through Deep Learning If we consider the ...