What's Happening?
A recent survey conducted by IO, an information security and privacy platform, reveals that approximately 25% of organizations have experienced AI data poisoning in the past year. The survey, which included 3,000 cybersecurity and information security managers from the UK and US, highlights the growing risks associated with shadow AI and deepfake technologies. The report indicates that 20% of organizations reported deepfake or cloning incidents, while 28% anticipate deepfake impersonation in virtual meetings as a rising threat. Additionally, misinformation and disinformation generated by AI are identified as top emerging threats by 42% of security professionals.
Why It's Important?
The findings underscore the evolving challenges that AI technologies pose to cybersecurity. As organizations increasingly integrate AI into their operations, the risks associated with data poisoning and shadow AI misuse become more pronounced. These threats not only compromise technical systems but also undermine the integrity of services relied upon by businesses and the public. The report suggests a need for stronger governance and policy enforcement to protect against these risks, highlighting the importance of investing in AI-powered threat detection and defense mechanisms.
What's Next?
Organizations are likely to increase investments in generative AI-powered threat detection and validation tools to combat the risks identified in the survey. There may also be a push for enhanced governance and policy enforcement around AI usage to mitigate the impact of data poisoning and shadow AI. The UK's National Cyber Security Centre has issued warnings about the potential for AI to enhance cyber intrusion operations, suggesting that organizations will need to remain vigilant and proactive in their cybersecurity strategies.
