The generative AI in cyber security market is segmented by type into threat detection and analysis ... variational autoencoders (VAEs), reinforcement learning (RL), deep neural networks (DNNs ...

Artificial intelligence has rapidly emerged as both a cornerstone of innovation and a ticking time bomb in the realm of ...

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 artificial intelligence (AI) continues to revolutionize the business landscape, midsized organizations find themselves at ...

By enabling organizations to anticipate threats, model potential attacks ... of the most com­mon cyber threats companies deal with nowadays. Generative AI-powered deep learning mod­els provide ...

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 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 ...

Machine learning (ML) has been used in security tools for quite a while, first in anti-malware tools and in broader anomaly detection ... generative AI has the power to counter the attack ...

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 ...

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 ...

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 ...