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Sophisticated AI Solutions Needed to Combat AI Security Attacks

Sophisticated AI Solutions Needed to Combat AI Security Attacks

The rise of advanced AI-based platforms like ChatGPT has opened up new opportunities for cyber attackers to cause damages by generating phishing emails and malware. According to experts, these advanced AI-based tools can easily lure users into revealing critical log-in credentials that can compromise a company’s security. This is because emails composed by ChatGPT can contain accurate details that match legitimate messages from an individual’s actual favourite vendors. Reports warn that these imposter emails can infiltrate corporate networks with speed, efficiency, and stealth, making it extremely difficult for users to identify them. Cybersecurity experts point out that the rise of such AI technologies holds immense potential to produce a frightening escalation of malicious activities targeting business networks, offering powerful tools to the ill-intentioned.

How ChatGPT Does Damage?

ChatGPT uses AI-based “transformer” algorithms that are based on the same principles that connect human neural cells, allowing the platform to scan the internet for relevant content based on keywords, prompts, or other search parameters. Hackers can leverage the same technology to create phishing emails and malware designed to infiltrate a corporate network with far more speed, efficiency, and stealth than ever before. Today’s advanced AI-based platforms like ChatGPT contain natural language capabilities, which can also be used to automate portions of a cyber-attack launch, such as the initial infection code. Additionally, phishing attacks have become more sophisticated with the rise of AI-based bots, which scrub the internet for accurate details on a victim’s identity. This makes it nearly impossible for users to recognise a phoney email.

Fighting Bad AI with Good AI

To protect themselves from this rising wave of AI-powered threats, individuals and organisations need to utilise the same level of advanced AI technology in the cybersecurity solutions that protect their email data. However, the biggest challenge for companies today is determining whether or not their security solutions rely on sophisticated AI. Many traditional security solutions still rely on blacklisting of known IP addresses as their main line of defence against malicious activity, but this is simply not enough in today’s AI era. Security solutions must employ the same level of AI technologies, leveraging these protocols to scan inbound emails for red-flag keywords and phrases. These AI-powered solutions will either flag, block, or quarantine questionable emails using keywords such as “credit card,” “invoice,” or “wire transfer.” This is a situation where companies must fight fire with fire.

Depend on Encryption

Another effective way to fight against AI-related breaches is to implement email encryption throughout the organisation, which keeps sensitive material from being accessible to hackers and AI bots. Advances in encryption technology have produced solutions that are simple to use and easily automate to comply with regulations such as HIPAA or GDPR. Additionally, effective encryption allows protected messages to be opened and decrypted with a single click, just as easily as a non-encrypted email. To efficiently encrypt messages, organisations should look for an encryption solution that incorporates tokenisation, a breakthrough capability that allows the non-sensitive portions of an email to be read just as easily as any other email.

Conclusion

In conclusion, although advanced AI-based platforms like ChatGPT continue to hand over vital capabilities to cyber attackers, there’s still hope for organisations to protect themselves through the use of the same level of AI-powered technology in their cybersecurity solutions. Effective AI-based cybersecurity solutions utilising AI-powered scanning tools will be the best way to tackle the new frontier in natural language generation threats. Companies must ensure that their security solutions utilise these AI-based tools if they hope to keep pace with the risks of this new frontier in natural language generation.

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