Security considerations for SME AI adoptions
AI has caused a lot of excitement this year, with many businesses keen to get in on the benefits it promises. However, as with all new technologies, there are significant cybersecurity concerns for businesses adopting AI. Understanding and mitigating the risks is important, so this article details what they are, and how to tackle them.
Data Privacy
AI tools require large amounts of data to function properly. This can include sensitive customer information, proprietary data, and operational details. The risks lie in Data Breaches, Compliance risks, and Vendor security if you're using a 3rd party solution like Copilot.
To tackle this risk, ensure your data is properly encrypted, and limit data input to make sure you're only training your AI tool on relevant data.
Adversarial Attacks
AI systems can be manipulated through adversarial attacks, where bad actors input deceptive data to mislead the AI. This is particularly concerning for businesses using AI in Fraud Detection and Decision making systems. Mitigate these risks with regular testing and consistent updates.
Insider Threats
Insider threats will always be a major concern, and AI adds another layer to this risk factor. Mitigate these risks with role-based access controls, activity monitoring, and user education.
Adopting AI responsibly requires a combination of the right technology, employee training, and diligent vendor management.
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