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Security Risks of AI

As AI becomes increasingly embedded in our day-to-day lives, it’s essential that we regularly examine the risks that come with its use. While AI is an incredibly powerful tool that enables efficiency and innovation, it is also frequently exploited by bad actors to carry out malicious activity.

Common ways AI is misused by bad actors include:

Cyberattacks and Deepfakes

Threat actors leverage AI to clone voices, generate fake identities, and craft highly convincing phishing emails and messages. Their goal is often to steal personal information, compromise accounts, or commit fraud, and unfortunately, these tactics have proven very effective. Any unexpected call, email, video, or message that creates urgency around payments, passwords, or sensitive information should be treated with skepticism and independently verified through a trusted source.

PII (Personally Identifiable Information) Exposure

Many generative AI tools are powered by large language models (LLMs), which are trained on massive amounts of data scraped from publicly available internet sources. This data may include personal information that was collected without an individual’s explicit knowledge or consent.

Additionally, many users are unaware that data entered into some AI platforms may be retained and used to further train these models. Even tools that currently claim not to train on user data, such as Microsoft Copilot, can change their policies at any time. For this reason, users should exercise extreme caution and avoid entering sensitive, confidential, or personal information into any AI system.

AI is now a permanent and influential part of our world, touching nearly every aspect of how we work and communicate. Staying informed and vigilant is critical to using this technology safely and responsibly.

If you have questions or concerns about AI, i2m is here to help. Click the link below to get in touch with us.