Editorial

AI and Data Privacy: The Governance Gap

Artificial intelligence doesn’t just use data; it produces it. Research shows that every minute, large language models like Dall-E 2 generate 1,389 images, while 7,431 minutes of AI-generated videos are created. But in order to create new information, algorithms routinely infer sensitive information that individuals don’t ever explicitly provide, from health conditions to political leanings. What does this lead to? A world where the traditional, consent-based privacy frameworks are obsolete. The old model of asking for permissions to use data has been broken in a world where machines are capable of generating insights far beyond the scope of any user agreement. Here’s the outcome: a critical governance gap. While organizations are busy in their race to deploy artificial intelligence for a competitive edge, many of them still use a dangerously outdated understanding of privacy risk.

How to Train Your Staff in Data Protection
How to Train Your Staff in Data Protection

Many organizations believe that providing cybersecurity awareness training to employees is sufficient to establish a strong culture of awareness. However, the most security-focused companies pay attention to how they deliver training and what topics they cover. Cyber threats evolve rapidly, so training programs that fail to keep pace become outdated. Before 2023, there was limited awareness of double supply chain attacks. Recent data indicates that over 80% of leaders state their organizations have a security awareness and training program , yet more than 50% believe their staff lacks sufficient cyber awareness. This method highlights essential gaps in the subjects that these programs address. To make your training effective, consider incorporating these 14 essential cybersecurity awareness topics. Primary Benefits of Constantly Fortifying Your Defenses As cyber threats become more

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