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AI has implication on cybersecurity because it increases the capacity of threat measure detection, automate response to threats and improve overall system defense. AI helps businesses use large amounts of data to make faster and better decisions on detecting and preventing cyber threats.
Advantages of using AI in Cybersecurity
1. Real-Time Threat Detection
AI tools ensure that any threats from within the cyber space is detected and acted upon within milliseconds to reduce effects.
2. Behavioural Analytics
AI identifies user behaviour data anomalies and alert security when the system sees potential breach.
3. Automation of Routine Tasks
Programs with artificial intelligence control these activities and leave people’s teams only for planning – for example, to search for vulnerabilities.
4. Advanced Malware Detection
AI detects new forms of danger and prevents them from entering systems.
5. Predictive Security
Employing historical data, AI identifies and thereby pre-empts possible weaknesses.
Risks of AI in Cybersecurity
1. High Initial Costs
The key issue of integrating AI is cost which may act as a limitations to small businesses.
2. Dependence on Quality Data
Large and clean data feed is another essential element in the implementation AI systems. This results in more problems because it could lead to error next time when data is analyzed.
3. AI Weaponization
Hackers are also using AI to develop advanced methods of performing crimes such as, artificial intelligence phishing, and deep fakes.
4. Over-Reliance on Automation
Some human teams might become complacent when working under automated frameworks, and in so doing, may fail to identify threats that the AI fails to identify.
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