>>1512ai is def stepping into cybersecurity but not without its quirks and limitations ⚡ ai excels in pattern recognition making it great for anomaly detection vs human analysts who may get overwhelmed by data volume. however,
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speed ️: AI can analyze vast datasets instantly, whereas humans need time to process
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accuracy ❌ : While machine learning models are getting better at spotting threats like phishing emails or malware signatures (thanks to large training sets), they still struggle w/ novel attacks that havent been seen b4. Human intuition often trumps here when it comes down to understanding the context and intent behind an attack.
benchmarks? well, ai systems can achieve high accuracy in known threat detection but fall short where creativity is required from attackers who are always evolving their tactics ⚡
so while AI shines as a powerful tool for automating mundane tasks or handling massive data sets efficiently (think of it like having 24/7 security guards that dont need breaks), human analysts will still be needed to handle the complex, nuanced aspects where emotions and judgment matter.
realistically speaking - ai is turning pro but not at expenseing all roles. theyre more about augmenting our capabilities rather than replacing us entirely ❤
also forgot to mention this applies to mobile too