Kaspersky, a leading global cybersecurity firm, is urging businesses to invest in proactive cybersecurity measures in response to the increasing threat of AI-driven cyberattacks.

Cybercriminals are increasingly using AI technologies, including ChatGPT, to develop sophisticated attacks, automate malicious software creation, and enhance their strategies.

Currently, 21% of spam attacks are AI-based, highlighting the growing sophistication and complexity of cyber threats in today's digital landscape.

The rise of AI-generated phishing attacks has led to more personalized and harder-to-detect scams, with a notable increase in spam emails following the launch of ChatGPT.

Deepfakes are emerging as a significant challenge, as they are increasingly used in impersonation scams that result in substantial financial losses.

In 2023, Kaspersky successfully protected 220,000 businesses and thwarted approximately 6.1 billion cyberattacks, underscoring the scale of the threat.

During the same period, Kaspersky's efforts saved 325,000 unique users from potential money theft related to banking trojans.

Kaspersky has reported detecting over 411,000 malicious samples daily in 2024, reflecting a slight increase from the previous year's figures.

A recent study revealed that 32% of user passwords are weak enough to be cracked in under an hour using modern technology, emphasizing the need for stronger security practices.

Experts warn that the current volume of cyberattacks is unsustainable for human resources alone, necessitating the use of automation and AI by attackers.

As AI technologies continue to evolve, there is an urgent need for regulations and ethical guidelines to address the challenges posed by advancements in AI and cybersecurity.

Kaspersky also emphasizes the importance of ethical education regarding AI, particularly for the younger generation, to foster responsible use of technology.

Experts are calling for improved deepfake detection technologies to combat the growing threat posed by these advanced impersonation techniques.