The impact of Generative AI on cybersecurity

Mike Simpson
7th January, 2024 2 min read

The year-end holiday is a convenient time to catch up on reading.  My reading has focused mostly on recent trends in AI and the implications for cybersecurity.  With the 1-year anniversary of ChatGPT recently passed, it’s an opportune time to reflect on the impact of AI developments on the security of individuals, organisations and governments.  I’ve included links below to 4 easy reads that highlight significant threats for organizations across all sectors and demonstrate the need for a transformational approach to Identity Verification and User Authentication.  At Truuth, we’re looking forward to collaborating with our clients in 2024 to mitigate these risks. 

1.  “How Nations Are Losing a Global Race to Tackle A.I.’s Harms”



Alarmed by the power of artificial intelligence, Europe, the United States and others are trying to respond — but the technology is evolving more rapidly than their policies.



2. “Humans Need to Rethink Trust in the Wake of Generative AI”



As generative AI rapidly evolves, one of the biggest risks that is being discussed is the potential for the technology to be used to generate disinformation and misinformation. This means that humans need to rethink how and what we trust.



3. “Deepfakes emerge as a top security threat ahead of the 2024 US election”



As the US enters a critical election year, AI-generated threats, particularly deepfakes, are emerging as a top security issue, with no reliable tools yet in place to combat them.



4. “10 Scary Breakthroughs AI Will Make in 2024”



2023 marked a significant turning point for artificial intelligence (AI), and as we step into 2024, the world anticipates even more frightening advancements. From the potential emergence of Artificial General Intelligence (AGI) to the escalating threat of realistic deepfakes and the integration of AI in military applications, the upcoming year holds promises and perils that demand our attention.


How does Truuth mitigate the risk?

To mitigate the cybersecurity risks posed by generative AI, we believe it’s critical for organizations to transform their capabilities to detect deepfakes and synthetic identities at every stage of the user journey.  Truuth’s solutions verify the human behind the device for high-risk authentication events and we use a suite of AI models to detect identity fraud. These solutions detect more than 99% of fraudulent attacks.

If you would like more information, reach out to Truuth for a demo of our deep-fake detection and risk-based MFA solutions. 

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