Whalesbook
AI ki wajah se vulnerabilities ho rahi hain expose
Advanced AI tools jaise Mythos actual mein attack karne ka naya tareeka nahi bana rahe hain. Ye bas existing security weaknesses ko explore karne ki speed ko bahut badha dete hain. Experts ka kehna hai ki asli problem AI nahi hai, balki AI ke flaws dhundhne ki ability aur companies ke unhe fix karne ki slow speed ke beech badhta hua gap hai. Bohot si companies abhi bhi important security practices jaise software ko jaldi update karna aur incidents par effective response dene mein peeche hain.
Experts ke according, AI advancements attacks ko aur fast aur scalable bana rahi hain. AI models code ko jaldi analyze kar sakte hain aur exploit pathways pinpoint kar sakte hain, matlab attackers ko targets exploit karne ke liye kam time milta hai.
India ka badhta cyber threat landscape
Attack ki badhti speed India ke liye bahut critical hai, jahan businesses par cyberattacks tezi se badh rahe hain. Financial aur operational damage already kaafi zyada hai. Recent ransomware attack ne operations disrupt kar diye, data leak kar diya, aur revenue warnings aur costly recovery efforts force kiye. Worldwide, Jaguar Land Rover ne India mein bhi major disruptions experience ki, unhe ek cyberattack se nearly £485 million ka quarterly loss hua, aur extended outages aur supply chain issues ki wajah se wider economic impacts billions tak pahunch sakte hain.
Indusface Threat Report ki main baatein
Cybersecurity firm Indusface ka data ek serious picture dikha raha hai. 2025 ke pehle half mein, Indian applications par 4.26 billion se zyada cyberattacks ko block kiya gaya, jo pichhle saal se 15% zyada hai. Har monitored website ne average 4.1 million attacks face kiye. Application Programming Interfaces (APIs) ab sabse bade target hain, API-related attacks pichhle saal se 126% badh gaye hain. Banking, Financial Services, aur Insurance (BFSI) sector ek major focus hai, jise H1 2025 mein 742 million se zyada attacks face karne pade, aur attacks per site 51% badh gaye.
Vulnerabilities kyon bani rehti hain? Patching delays aur kam barriers
Experts warn kar rahe hain ki Mythos ko ek unique threat ke roop mein nahi dekha jaye. Zoho ki Sujatha Iyer kehti hain ki advanced offensive AI tools zyada accessible aur fast hain, jisse less-skilled attackers ke liye barrier kam ho gaya hai. Ye un companies ke liye aur mushkil bana deta hai jo pehle se hi slow hain. Indusface ki report mein pata chala hai ki nearly 40% Indian companies ke paas ongoing vulnerability management ke liye resources nahi hain, aur 1/3rd critical vulnerabilities six months se zyada time tak unpatched rehti hain. Sabse badi chinta ye hai ki attackers systems ko exploit kar lete hain companies ke unhe fix karne se pehle. Quick Heal Technologies ke Sanjay Katkar kehte hain ki current threats ek constant, automated attack hain.
AI-driven Attacks aur operational lapses
AI convincing phishing aur impersonation tactics ko bhi power kar raha hai, jisse unhe legitimate communications se alag karna mushkil ho gaya hai. World Economic Forum ki 2025 report AI-related vulnerabilities ko fastest-growing cyber risk batati hai. Investments ke bawajood, bohot si companies mein operational gaps hain aur aksar attacks serious hone tak alerts ko ignore kar dete hain. Financial toll kaafi zyada hai; 2025 mein ransomware se hit hui bohot si Indian firms ne recovery ke liye average ₹12 crore se zyada pay kiye. Ek critical failure ye hai ki cybersecurity ko sirf compliance task mana jata hai, na ki core operational resilience issue. Basic security measures, attack surface ko kam karna, aur authentication ko improve karna vital hai, khaas kar jab companies internally AI deploy kar rahi hain.