Ponemon Report: The Top Three AI Cyber Risks Revealed

The 2024 State of Enterprise Cyber Risk in the Age of AI report, independently conducted by Ponemon Institute and analyzed and published by Balbix, is fueled by over 20,000 answers from hundreds of CIOs, CISOs, CSOs, and leaders from information security.

Key Findings

According to the report, enterprise organizations need help keeping up with the growing needs and requirements of cyber risk strategies.

Achieving Cyber Resilience in the Age of AI

The report highlights the importance of achieving cyber resilience in today’s AI-driven world. To achieve this, organizations must have a proactive approach to managing cyber risk and a strong understanding of the risks associated with AI.

Top Three AI-Related Cyber Risks

The report identifies three key AI-related cyber risks that organizations need to be aware of:

1. Insider Threats – The report finds that 69% of respondents believe that AI will exacerbate insider threats. With the increasing use of AI-powered tools, insider threats are becoming more sophisticated and difficult to detect.
2. ML Model Bias – The report highlights that 58% of respondents believe that AI will exacerbate ML model bias. AI systems can perpetuate biases and discriminatory patterns if not properly trained, leading to increased cyber risk.
3. Data Poisoning Attacks – The report notes that 55% of respondents believe that AI will exacerbate data poisoning attacks. Malicious actors can manipulate AI models by introducing biased or fraudulent data, leading to inaccurate predictions and increased cyber risk.

Why is AI-Related Cyber Risk Increasing?

The report identifies several reasons why AI-related cyber risk is increasing:

• Lack of AI Cybersecurity Expertise – Organizations struggle to find and retain AI cybersecurity professionals with the necessary skills and expertise.
• Inadequate Training Data – Many AI systems are trained on inadequate or biased data, leading to inaccurate predictions and increased cyber risk.
• Inadequate Security Monitoring – Many AI systems are not properly monitored for security, allowing malicious actors to exploit vulnerabilities.

Conclusion

In conclusion, the 2024 State of Enterprise Cyber Risk in the Age of AI report highlights the importance of achieving cyber resilience in today’s AI-driven world. Organizations must have a proactive approach to managing cyber risk and a strong understanding of the risks associated with AI. By recognizing the top three AI-related cyber risks and addressing the underlying causes, organizations can take steps to mitigate these risks and ensure their cyber resilience.

FAQs

Q: What is the main finding of the report?

A: The report highlights that enterprise organizations need help keeping up with the growing needs and requirements of cyber risk strategies.

Q: What are the top three AI-related cyber risks?

A: The report identifies insider threats, ML model bias, and data poisoning attacks as the top three AI-related cyber risks.

Q: Why is AI-related cyber risk increasing?

A: The report identifies the lack of AI cybersecurity expertise, inadequate training data, and inadequate security monitoring as key reasons why AI-related cyber risk is increasing.

Q: What can organizations do to mitigate AI-related cyber risks?

A: Organizations can take steps to mitigate AI-related cyber risks by addressing the underlying causes, such as inadequate training data and inadequate security monitoring, and implementing a proactive approach to managing cyber risk.