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@article{173638,
        author = {Atharv Anandrao Patil and Vinayak Haribhau Kumbhar and Navnath Pandit Mane and Prof.Abhijeet.A.Paritekar and Mrs.Amruta.M.Kate and Mr.Sushil.B.Magdum and Mrs.Vrushali.R.Bhivse and Ms.Poonam.C.Jasud},
        title = {A Review Paper On Ai in Cyber Security},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1050-1054},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173638},
        abstract = {AI is changing cybersecurity big time, giving us better ways to fight tougher cyberattacks. With things like machine learning, how computers understand language, and deep learning, AI looks at tons of info super fast. This helps us spot weird stuff, break-ins, and weak spots before they blow up into huge problems.
AI systems can find common dangers like viruses and scams. They can even guess and handle new dangers we've never seen before, using smart predictions. Besides just finding threats, AI makes dealing with problems easier. It can automatically do boring jobs like updating security, checking for weaknesses, and keeping track of what's happening. This lets cybersecurity people focus on the harder stuff.
Plus, AI firewalls and security systems keep learning and changing to fight new threats. This keeps our defenses strong and flexible. But, adding AI to cybersecurity also has some problems. We need to worry about keeping data private, making sure the AI isn't unfair, and the chance that bad guys could use AI to make even worse attacks. We have to fix these issues to really use AI to protect important info and keep our online stuff safe as threats change.},
        keywords = {Artificial Intelligence, Cybersecurity, Machine Learning, Deep Learning, Threat Detection, Intrusion Detection, Malware, Ransomware, Phishing, Predictive Analytics, Incident Response, Automation, Data Privacy, Vulnerabilities.},
        month = {March},
        }