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Key Points:
- Cybercriminals will benefit from the widespread deployment of AI tools before their targets can set up AI defense systems.
- Attackers are increasingly targeting developer environments where human errors can still be exploited, leading to a shift in focus for security teams.
- The data supply chain for AI will be a target of attack, with the potential for false or biased data to be injected into large language models.
A new report from Snowflake highlights some key trends and challenges that organizations may face in the cybersecurity landscape by 2024. The report emphasizes the evolving nature of cybersecurity threats and the need for businesses to understand and adapt to these changes.
One key trend that the report highlights is the potential use of AI by cybercriminals. It suggests that cybercriminals may benefit from the widespread deployment of AI tools before their targets can set up AI defense systems. This is because businesses may be cautious about adopting and using new technologies, which gives cybercriminals an advantage in using advanced AI tools to carry out attacks. The report predicts that generative AI, in particular, will make phishing attacks even more successful, as attackers will have access to large language models and generative AI, while defenders will be playing catch-up.
Another trend highlighted in the report is the shift in focus for attackers towards developer environments. With the rise of DevOps and DevSecOps, automation in the production environment has reduced human error for attackers to exploit. As a result, attackers are now targeting developer environments where human mistakes can still be discovered and exploited. The report predicts that this trend will continue to escalate, as cybercriminals become more sophisticated in their approach.
The report also highlights the potential vulnerability of the AI data supply chain. AI developments are fast-moving and have a wide range of capabilities, making them challenging for security teams to protect. The report suggests that attackers could inject false or biased data into large language models, leading to inaccurate or secretly biased advice being generated by AI systems. However, the report emphasizes that the majority of cyberattacks are motivated by financial gain, and this type of attack may not have an immediate financial payoff.
In conclusion, the Snowflake report emphasizes the need for organizations to understand the evolving nature of cybersecurity threats and to adapt their defenses accordingly. The report suggests that businesses should be prepared for the potential use of AI by cybercriminals, the shift in focus towards developer environments, and the vulnerability of the AI data supply chain. It also highlights the importance of implementing best practices and vetting vendors to improve security posture.
