AI aur network security mein, AI ko cybersecurity ki difa strategies mein shaamil karke inko mazbooti hasil ho sakti hai.
Lekin sharaarat afraad bhi AI ke potential ko pehchana hai aur uske istemaal se zyada se zyada nuksan pahunchane ke liye iske maabid kar rahe hain. AI technologies ko shaamil karke, taasisat maamoolan khatra detection, jawab automation, aur system ki hifazati mein sudhar kar sakti hain, jisse woh cyber khatron ke khilaaf apni maazbatiyat ko barha sakti hain.
AI ke faide uthane ka tareeqa network security mein AI khatra detection, khud-bakhud jawab, aur mukammal system ki hifazati ke liye behtareen salahiyatein farahem kar sakti hai. AI-powered cybersecurity solutions, jisme machine learning algorithms istemaal hoti hain, network traffic, system logs, user activity, aur malware signatures jaise bade paimane par data ko tajziya karke mumkinayi khatrat ko pehchaan aur pehchanne mein madad karti hain. Ye trends aur gair-mamooliaton ko pehchanna mein madad karti hai jo ke security breach ki taraf ishara kar sakti hain, jise intrusion detection aur prevention systems ke zariye proactive monitoring aur security teams ko alert karna mein istemal hota hai.
AI approaches abnormal behaviour ko pehchanna mein bhi madad karte hain jisme typical behaviour ki baselines banayi jati hain aur shakhsiat activities ko pehchana jata hai, jisse insider threats ya zero-day attacks ko unveil karne mein madad hoti hai.
AI malware attacks ko pehchanna aur kam karne mein bhi ahem kirdar ada karta hai, code samples, network traffic, aur behavioural patterns ko mutaala karte hue taake developing threats ke saath pace rakh sake. AI-powered user behaviour analytics activity ko monitor karte hain takay insider threats, compromised accounts, ya unauthorized access attempts ko pehchana ja sake, jo overall system ki security mein madad karte hain. Iske alawa, AI adversarial machine learning mein istemal hoti hai taake AI systems par hone wale hamle se lad sake, jo ke hamle ko pehchane aur unke nuksan ko kam karne mein madad karti hai. AI automated response aur remediation mein bhi istemal hoti hai jisme malicious IP addresses ko block karna, compromised devices ko isolate karna, aur security patches aur upgrades apply karna shaamil hai.
AI ko network security ke liye nuksan pahunchane ka istemal Data poisoning, AI-driven cyberattacks, aur AI-based defenses ko dodge karna ke zariye, AI network aur information systems ko nuksan pahunchane ke liye istemal kiya ja sakta hai. Adversarial attacks, misal ke tor par, AI vulnerabilities ka fayda utha kar inputs ko manipulate karke misleading outputs hasil karne ya security safeguards ko bypass karne mein istemal karte hain. Hamle karne wale malicious data ko AI model training mein shaamil karke iski behaviour aur performance ko compromise karna data poisoning ko kehte hain. AI-driven cyberattacks AI techniques ka istemal karte hain phishing campaigns, password cracking, aur vulnerability identification ko automate aur optimize karne ke liye. Hamle karne wale algorithms ko tajziya karke aur unke flaws ko istemal karke, attackers AI-based protections ko circumvent karne ke liye strategies banate hain.
Cybersecurity sarkon, internet istemaal karne walon, technical aur business communities ke darmiyan mein ek aham mudda hai. Cyber khatrat aur cyberattacks mein izafah hota ja raha hai, aur maali nuksan ka bhi izafah ho raha hai. Lekin jab internet pehli baar tajwez kiya gaya tha, to suraksha unke liye ek fikar nahi thi. Haqeeqatan mein, internet pehle se ek band giroh (zayada tar) academics ke istemal ke liye tajwez kiya gaya tha. Users ke darmiyan mawaslat khuli hoti thi. Suraksha ko internet pioneers ke chakkar mein bahar badhne ke saath hi internet ne tajwez kiya. Internet ne purani sachai ko dohraya ke technology jama aur dhamaka dono kar sakti hai. Jo samaji faide ke liye istemal kiya ja sakta hai, wohi samaji nuksan ke liye bhi istemal kiya ja sakta hai.
Aaj, cybersecurity framework policy principles, instruments, aur institutions ko shaamil karta hai jo cybersecurity se mutalliq hain. Ye ek umbrella concept hai jo (a) critical information infrastructure protection (CIIP), (b) cybercrime, aur (c) cyberconflict ko shaamil karta hai. Policy space ke tor par, cybersecurity apne formative stage mein hai, jiske saath mein conceptual aur terminological confusion bhi hai. Hum aksar doosre terms ke baare mein sunte hain jo ke zaroori policy precision ke bina istemal hote hain: cyber-riots, cyberterrorism, cybersabotage, waghera. Khaas kar cyberterrorism 9/11 ke baad zyada tezi se nazar aaya, jab cyberterrorist attacks ki report hone lagi. Cyberterrorists cybercriminals ki tarah hi tools ka istemal karte hain, lekin unka maksad alag hota hai. Jabke cybercriminals ko mainly maali faida haasil karna hota hai, wahi cyberterrorists badi hawale se public disruption aur chaos paida karna chahte hain.
Cybersecurity policy initiatives Cybersecurity ko mukhtalif qoumi, ilmi, aur global initiatives ke zariye tackle kiya jata hai. Sab se main initiatives ko neeche bayan kiya gaya hai.
Qoumi level par, cybersecurity ke khilaaf jang aur (mainly) cybercrime se niptane par zor diya gaya hai, aur zyada tar terrorism ya conflicts ke natije mein critical information infrastructure ki hifazati par focus kiya gaya hai. Aise kai mulk hain jinme cybersecurity par focus karne wali koi na koi initiative hai.
International level par, ITU sab se active organization hai; isne ek bade number mein security frameworks, architectures, aur standards tayar kiye hain, jisme X.509 shaamil hai, jo ke