A recent report reveals that 25% of firms in the UK and US have experienced data poisoning attacks, highlighting a growing cybersecurity threat. Data poisoning involves attackers manipulating training data used in machine learning models, leading to compromised AI systems and erroneous outputs. This form of attack poses significant risks to organizations relying heavily on AI for decision-making and operational processes. The report emphasizes the need for enhanced data security measures and robust AI model validation to mitigate these threats. Companies are urged to implement stringent data governance policies and invest in advanced threat detection technologies to safeguard their AI infrastructures. As AI adoption accelerates, understanding and defending against data poisoning becomes critical for maintaining trust and operational integrity in digital environments. This article explores the implications of data poisoning attacks, the sectors most affected, and best practices for prevention and response in the evolving cybersecurity landscape.
This Cyber News was published on www.infosecurity-magazine.com. Publication date: Wed, 17 Sep 2025 10:15:04 +0000