Published on March 27, 2024, 3:10 am

Malicious use cases of artificial intelligence (AI) are expected to arise predominantly from targeted deepfakes and influence operations, as highlighted in the Adversarial Intelligence: Red Teaming Malicious Use Cases for AI report by Recorded Future.

Deepfakes for impersonation pose a significant threat, allowing malicious actors to create deceptive content using publicly available short clips with live cloning capabilities. These fabricated materials can be utilized to mislead and manipulate individuals.

Another concerning scenario involves influence operations that mimic legitimate websites. By leveraging AI technologies, malicious actors can produce large volumes of misinformation and content automatically, substantially reducing production costs compared to traditional methods involving troll farms and human writers.

In addition, the utilization of self-augmenting malware presents challenges in evading detection mechanisms such as YARA rules. GenAI enables threat actors to modify malware source code effectively, leading to decreased detection rates through evasion tactics.

Moreover, threat players exploit multimodal AI in activities like ICS and aerial imagery reconnaissance. By analyzing public images and videos, these actors can pinpoint specific locations, identify industrial control system equipment, and gather sensitive information for malicious purposes.

To counteract these emerging threats, organizations are advised to bolster their cybersecurity measures. Recorded Future analysts recommend investing in multi-layered malware detection capabilities that can adapt to AI-assisted polymorphic malware developments. It is crucial for entities to consider the risks associated with impersonation tactics in targeted attacks and implement secure communication protocols and verification processes for critical transactions.

Furthermore, safeguarding sensitive data requires scrutiny and sanitization of publicly available visual content related to critical sectors like defense, government, energy, manufacturing, and transportation industries. By proactively monitoring and securing this information, organizations can mitigate potential risks posed by malicious exploitation of AI technologies.

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