DeFi mein AI ka kaher! Co-founder ne kaha, 'Ab kuch bhi safe nahi hai!'

TECHNOLOGY
Whalesbook Logo
AuthorAnanya Iyer|Published at:
DeFi mein AI ka kaher! Co-founder ne kaha, 'Ab kuch bhi safe nahi hai!'
Overview

Arre bhaiyon, suno! OpenZeppelin ke co-founder ne sabko warning di hai ki ab decentralized finance (DeFi) mein kuch bhi safe nahi hai. Asal mein, AI-powered coding agents itni tezi se vulnerabilities dhundh rahe hain ki developers unhe fix hi nahi kar pa rahe. Pichhle saal hi **$1 billion** se zyada ka nuksaan ho chuka hai hacks mein, jisse DeFi ki total value locked par bhi farak pada hai.

Instant Stock Alerts on WhatsApp

Used by 10,000+ active investors

1

Add Stocks

Select the stocks you want to track in real time.

2

Get Alerts on WhatsApp

Receive instant updates directly to WhatsApp.

  • Quarterly Results
  • Concall Announcements
  • New Orders & Big Deals
  • Capex Announcements
  • Bulk Deals
  • And much more

AI ka DeFi mein exploit karne ka naya tarika

Pehle lagta tha ki DeFi ka transparent aur open-source code security ki guarantee hai, par ab artificial intelligence ke samne yeh bhi fail ho raha hai. OpenZeppelin ke co-founder, Manuel Aráoz, ek bada imbalance bata rahe hain: ek taraf developers ko har choti se choti flaw dhundh kar fix karni padti hai, wahi dusri taraf attackers advanced AI tools use kar rahe hain jinhe bas ek chook mili toh poore protocols khaali.

Aise mein, Aráoz ne kaha hai ki Aave, MakerDAO, aur Compound jaise bade DeFi platforms mein paisa lagana risk ho sakta hai. Woh bol rahe hain ki ab purane aur trusted protocols par bharosa karne ka daur shayad khatam ho gaya hai.

DeFi ki Total Value Locked (TVL) kam ho rahi hai

Market mein security risks badhne ki wajah se, DeFi ki Total Value Locked (TVL) 14% kam hokar $172 billion se $148 billion ho gayi hai. Yeh sirf price fluctuations ki wajah se nahi hai; yeh lagatar ho rahe bade hacks ka seedha nateeja hai. Hal hi mein KelpDAO bridge mein hue $292 million ke hack ne dikhaya hai ki attackers ab RPC nodes aur validator networks jaise off-chain systems ko target kar rahe hain, jo ki standard smart contract audits mein cover nahi hote.

AI se exploit karna hua bahut sasta

DeFi ki vulnerabilities sirf code errors tak seemit nahi hain, balki attacks ko kitna aasani se scale kiya ja sakta hai. Pehle ke comparison mein, AI ki wajah se ab badi vulnerabilities dhundhne mein bahut kam manual effort lag raha hai. Reports ka kehna hai ki serious flaws dhundhna ab 100 guna tak sasta ho gaya hai, jisse attackers zyada computing power use kar rahe hain research ki jagah. DeFi code jo pehle trust badhata tha, ab wohi kamzoriyon ka fayda utha raha hai. AI models public codebases ko scan karke zero-day flaws nikal sakte hain developers ke respond karne se pehle. Drift Protocol hack jaise social engineering tactics ke saath milkar, attack surface manage karna bahut mushkil ho gaya hai. Front-ends, oracles, aur cross-chain bridges jaise centralized components bhi vulnerabilities offer karte hain jinhe AI easily exploit kar sakti hai.

DeFi ka future kaise secure hoga?

Industry ko ab sirf traditional security checks se aage badhna hoga. Future DeFi developments mein real-time monitoring aur AI-powered defenses par focus hoga. Kuch platforms shayad regulated, permissioned DeFi ki taraf shift ho sakte hain, jahan decentralization kam hoga par compliance aur security zyada. Jab tak defensive AI, offensive AI ke barabar nahi ho jaati, tab tak DeFi liquidity par risk bana rahega, aur developers ko naye security solutions dhundhne honge.

Get stock alerts instantly on WhatsApp

Quarterly results, bulk deals, concall updates and major announcements delivered in real time.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.