Wednesday, March 5, 2025
Wednesday, March 5, 2025
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Deployment of AI by cybercriminals remains underdeveloped

Most cybercriminals prefer to create bespoke AI solutions tailored to their specific operational needs

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  • One significant barrier to the widespread exploitation of AI in cybercrime is the efficacy of precautionary measures established by legitimate technology firms.

The integration of artificial intelligence (AI) into the realm of cybercrime represents a dual-edged sword, one that has not yet been fully wielded by malicious actors.

According to Intel 471’s 2024 annual threat report, the cybercriminal underground is experiencing significant disruption due to law enforcement efforts. Notably, the decline of influential ransomware-as-a-service platforms like LockBit, alongside the emergence of RansomHub, underscores the precarious balance within this underground ecosystem.

Despite ongoing discussions surrounding AI’s potential, researchers observe that its deployment by cybercriminals remains underdeveloped on a large scale.

The report indicates that while some AI-based tools are being marketed, their effectiveness and operational longevity are questionable. Tools designed for data exfiltration, vulnerability analysis, and invoice fraud exemplifies this trend; however, they primarily serve to enhance existing tactics such as phishing rather than revolutionize them.

The analysts from Intel 471 highlight that most cybercriminals prefer to create bespoke AI solutions tailored to their specific operational needs. This custom approach raises questions about the establishment of a robust underground market for such tools.

Short lifespan

Although AI is a buzzword capable of driving both supply and demand in the criminal sector, the extent to which it has been harnessed effectively remains limited.

One significant barrier to the widespread exploitation of AI in cybercrime is the efficacy of precautionary measures established by legitimate technology firms.

These companies have implemented guardrails that restrict the malicious use of AI tools, resulting in a relatively short lifespan for harmful applications—typically ranging from weeks to months.

The competitive landscape is further complicated by the advent of lower-cost and open-source AI solutions, which renders the resale of malicious tools less financially viable than in previous years.

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