Page 98 - Cyber Defense eMagazine Annual RSA Edition for 2024

Next, adequate employee training is vital. People working in the company must understand the risks of
AI. They should know the rules for handling personal data and the importance of following them. Regular
training sessions can keep everyone updated on the best practices for data security.

Then, there's data segmentation and privacy controls. This means organizing data to keep sensitive
information separate and secure. Businesses should also have policies ensuring they only use data in
ways people have agreed to. This helps in following privacy laws.

Lastly, vendor assessments are essential. Before using AI tools from outside companies, businesses
should check if these tools are secure. They need to make sure that these tools follow the same privacy
and security standards that they do. This step is essential to prevent any security issues with the AI
systems they use.

Considering Case Examples

Looking at constructive case examples can be helpful. For instance, a healthcare company might use AI
to analyze patient data but ensure its compliance with HIPAA by anonymizing data and securing patient
consent. Since the HIPAA Journal reported a 55.1% increase in healthcare data breaches between 2019
and 2020, it’s obvious this is a lucrative area for hackers to target.

Another example could be a tech company in the EU using AI for customer service, strictly adhering to
GDPR by transparently handling customer data and allowing users to opt-out easily. With GDPR fines
totaling more than €272.5 million a year, the financial consequences of not adhering to data protection
regulations can be astronomical.

Anticipating Future Obligations

AI is set to work more closely with technologies like the Internet of Things (IoT), blockchain, and quantum
computing. This integration offers exciting opportunities. For example, AI can make IoT devices smarter,
blockchain more secure, and quantum computing more powerful. However, these advancements also
bring risks.

The potential for complex security challenges increases as AI becomes more intertwined with these
technologies. Businesses need to stay aware of these changes. They must be ready to adapt and protect
their systems as AI evolves and blends with other cutting-edge technologies. By implementing these
strategies, businesses can align with regulatory requirements to ensure both innovation and compliance.

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