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How threat actors can use generative artificial intelligence?
- Generative Artificial Intelligence (GAI) presents significant risks when weaponized by malicious actors, revolutionizing the cyber-threat landscape with the new era of attacks ranging from deepfakes and large-scale phishing campaigns.
- GAI automates creating personalized and convincing messages, providing a highly effective tool for attackers engaging in disinformation campaigns, fraud, or privacy violations.
- Hackers can use GAI to develop malicious code and refine attack tools specifically designed for offensive purposes, such as malware or scripts designed to exploit vulnerabilities.
- The increasing accessibility of GAI through “as-a-service” models will only accelerate its adoption, allowing even those with minimal technical expertise to execute advanced attacks, democratizing cybercrime.
- Major GAI providers are actively working on solutions to mitigate emerging threats such as developing robust detection for deepfakes, enhancing anti-phishing tools and creating safeguards to prevent the misuse of GAI platforms.
- As GAI becomes more sophisticated and accessible, the challenges for defenders will increase exponentially. It is imperative to recognize potential dangers of GAI and take proactive measures to address them.
- Leading security companies are also trying to mitigate the threats of GAI such as enhancing anti-phishing tools and creating safeguards to prevent GAI Misuse.
- The use of GAI in disinformation campaigns is no longer hypothetical. According to a report by the Microsoft Threat Analysis Center (MTAC), Chinese threat actors are using GAI to conduct influence operations targeting foreign countries.
- Platforms like FraudGPT and WormGPT provide tools specifically designed for Phishing and Business Email Compromise (BEC) attacks.
- Generative Artificial Intelligence is a double-edged sword where the benefit of innovation and progress cannot be ignored, and measures must be taken to mitigate risks that GAI poses to Cybersecurity.
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