The advancement of computing power over the past few decades has been extraordinary. As computers become more powerful, hackers gain access to more sophisticated tools to launch attacks against crypto platforms. The threat of quantum and AI-driven hacks will soon be a major challenge for crypto entrepreneurs and developers.

Web3 hacks are one of the biggest challenges the industry is facing and a significant barrier to institutional adoption and mainstream usage. According to Cyvers’s data, more than $2.1 billion has already been stolen this year, with almost a quarter of the year still remaining.

Cybercriminals are always exploring new techniques to exploit their targets, and cybersecurity experts must stay ahead of them. This ongoing back-and-forth has shaped internet governance since its inception, and it has intensified as crypto has further intertwined finance with online technology.

However, this goal has become much more challenging with the emergence of new technologies. Quantum and AI hacking are gradually becoming the go-to methods for hackers, involving sophisticated data breaches and enabling access to previously impenetrable systems.

What Is Quantum Hacking?

Quantum hacking refers to using superior computing power to crack modern cryptographic algorithms. While crypto algorithms are theoretically “unhackable,” advancements in quantum computing have made it possible to break encryption techniques used by cryptographic platforms. Breaching secure cryptographic communications can result in serious security compromises.

The threat of quantum computing hacks is already upon us and will continue to grow as quantum computing systems evolve and become more widespread. Hackers have come a long way with traditional computing systems, but now their capabilities are set to grow exponentially.

Quantum Hacking and AI

Artificial Intelligence (AI) has been one of the most defining tech trends of the past two years. The rise of generative AI platforms like ChatGPT has captivated tech enthusiasts worldwide. AI presents remarkable opportunities but also serious threats, especially concerning data privacy and security.

It’s important to understand the broad scope of AI. This technology extends far beyond generative chatbots and encompasses automated features that traditionally relied on human intelligence. AI’s applications range from dat