Using Generative AI for Advanced Cyber Defense

Discover simple solutions to protect your organization from AI threats. Get professional tips on using AI for safer cybersecurity.

With 2024 well underway, we can already see how generative artificial intelligence (GenAI) is accelerating the cybersecurity arms race among enterprises. As both defensive and offensive actors adopt and use finely-tuned Large Language Models (LLMs) and Mixture of Experts (MoE) model-augmented tools, organizations' cybersecurity strategies must develop quickly. 

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For example, GenAI-powered capabilities such as automated code development, reverse engineering, deepfake-enhanced phishing, and social engineering are achieving previously unthinkable levels of sophistication and speed.

The need to quickly embrace and deploy these AI-augmented cybersecurity technologies is growing, and businesses that are hesitant to invest in and implement these tools will unavoidably fall behind, putting themselves at much higher risk of compromise. While companies must move quickly to stay up with this rapid advancement,

it is also critical to recognize the complex nature of GenAI and its potential to be a double-edged sword. To avoid the risks of AI while maximizing its benefits, companies must understand the need of staying current on its breakthroughs, appreciate the technology's dual capacity for good and damage, and implement internal processes to bridge knowledge gaps and address AI-related risks. To counteract known and emerging AI-related dangers

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