While artificial intelligence enhances cybersecurity, it simultaneously introduces new risks to company data. AI-powered tools can be exploited to create sophisticated phishing campaigns and generate misleading content, increasing the success rate of attacks. Attackers can manipulate AI models through data poisoning or adversarial attacks, compromising the integrity of AI-driven security measures.
Data breaches are a significant concern, as AI systems are vulnerable to adversarial inputs and API manipulation. Weak API configurations can lead to unauthorised access, and tampered AI responses can mislead operators or reveal confidential information. Supply chain risks also pose a threat, as compromised third-party AI components can cascade across multiple organisations.
Organisations are investing in AI-specific security tools to address these challenges, but a gap remains between adoption and protection. Enterprises must map data across environments and adopt unified tools to manage the complexity of AI systems. As AI continues to evolve, protecting the data behind it and ensuring digital sovereignty will be crucial for managing risk and enabling innovation.
