Security News > 2024 > March > Reinforcement learning is the path forward for AI integration into cybersecurity
Reinforcement learning underpins the benefit of AI to the cybersecurity ecosystem and is closest to how humans learn through experience and trial and error.
AI reinforcement learning may have applicability in prediction to prevent attacks as well, learning from past experiences and low signals and using patterns to predict what might happen next time.
Reinforcement learning can enhance a cybersecurity product's capability by making the best decisions based on the threat.
AI reinforcement learning can also be applied to a virtual sandbox environment where it can analyze how malware operates, which can aid vulnerability management patch management cycles.
While the zero-trust approach alone could bring intractable challenges, synergizing it with AI reinforcement learning can achieve a strong and flexible IT security.
This must be considered as more AI reinforcement learning algorithms are integrated into cybersecurity technologies.
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https://www.helpnetsecurity.com/2024/03/26/ai-reinforcement-learning/
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