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May 30, 2024

Best Practices for AI Security

By Jamie Clark

With radical advances emerging every year, AI is leading the way in reshaping how we approach business and innovation. Common AI tools like ChatGPT and Read AI are revolutionising sectors by automating complex tasks, from processing customer inquiries to transcribing and analysing meeting recordings.

Yet, as our dependence on these artificial intelligence systems grows, so does the necessity for strong security measures.

Implementing AI security practices is not just a precaution; it's an essential part of modern business operations. This blog will delve into the best practices for securing AI applications, ensuring they are both powerful and protected against the evolving landscape of security threats.

Understanding AI Security Risks

As AI technologies become integral to our business processes, they handle an increasingly diverse array of data types. The nature of data managed by AI is expansive and often sensitive. This data, whether it consists of strategic discussions, personal information, or proprietary data can operate as a prime target for security breaches.

The risks associated with AI systems primarily revolve around unauthorised access and data breaches. 

Unauthorised access can occur when security measures fail to protect the entry points into AI systems adequately. External hackers can manipulate AI outcomes or steal sensitive data, posing significant security threats to any organisation. Similarly, data breaches might expose vast quantities of confidential information, potentially resulting in severe reputational and financial damage.

Understanding these AI security risks—particularly how sensitive data can be compromised through these platforms—is the first step in crafting a comprehensive security strategy. Acknowledging that these are not just potential threats but real challenges faced by businesses today is essential. Addressing them proactively not only protects your operations but also builds trust with your stakeholders, affirming that their data, as well as your own, is handled with the highest level of security and care.

Where Your Data Resides

The location of data storage is a critical aspect of managing AI systems, profoundly affecting both compliance and security.

As businesses increasingly integrate AI technologies into their operations, it’s vital to be aware of where this data is stored to ensure adherence to various national and international legal requirements. This geographic awareness of data storage not only aids in maintaining legal compliance but also enhances the organisation's overall security strategy.

For instance, a UK-based company using AI services that store data in the US might inadvertently breach GDPR regulations, which require certain types of data to be stored within the EU or in a country with equivalent data protection laws. This discrepancy can expose businesses to legal penalties and complicate the management of data collected by AI systems.

Moreover, international data storage can introduce additional risk management challenges. The varying security practices and standards from one country to another can affect how securely data is held.

Ensuring that your AI provider aligns with the highest standards of data protection, irrespective of location, is a key component of a robust security strategy. Recognising and proactively addressing these issues through informed decision-making and thorough security practices can mitigate potential risks and safeguard sensitive data.

Mitigating Security Risks in AI

AI systems are complex and susceptible to a range of security vulnerabilities that can compromise both the data and the system itself. Implementing these effective security measures is critical for protecting sensitive information. 

  • Limit Exposure of Sensitive Data:


Categorise Data: Identify which types of data are particularly sensitive (like personal details or financial information) and limit the AI's access to these unless absolutely necessary.

Restrict Access: Ensure that AI systems can only access the specific data they need to perform their tasks, and nothing more.

  • Use Strong Encryption:


Protect Stored Data: Encrypt, or convert data into a secure code, to protect it from unauthorised access while it's stored in the system.

Secure Data on the Move: You should also use encryption when sending data to and from AI systems to protect it from being intercepted by unauthorised parties.

  • Require Two-Factor Authentication:


Secure System Login: Implement two-factor authentication for system access. This means, in addition to a password, another form of verification (like a code sent to a phone) is required to access the AI system.

Keep Security Updated: Regularly review and update your security measures to keep up with evolving threats.

  • Conduct Regular Security Checks:


Find Weak Spots: Periodically examine your AI systems for any vulnerabilities that could be exploited by attackers and address these issues promptly.

Test Your Defences: Run simulated attacks, known as penetration tests, to see how well your system can defend against attempts to breach its security.

  • Manage Data Carefully:


Backup Data: Regularly back up data in a secure manner to ensure it can be recovered in case of a data loss or system failure.

Mind Where Data Lives: Consider the physical and legal location of where your data is stored to ensure it complies with regional laws and regulations.


These steps provide a foundational approach to securing AI systems, designed to be effective yet understandable for non-technical readers. By adopting these practices, businesses can significantly enhance the security of their AI operations, protecting both their data and their reputation.


Company Policies on AI Data Management

As businesses increasingly rely on AI to handle and process data, establishing robust internal policies for data management is crucial.

These policies serve as guidelines to ensure that all data, especially sensitive and proprietary information, is managed securely and in compliance with applicable laws.

Develop Comprehensive Data Handling Policies:

  • Identify and Classify Data: Determine which data the AI systems will handle and classify it according to its sensitivity. This helps in applying appropriate security measures.

  • Access Control: Limit access to sensitive data to only those who need it to perform their job functions. Implement role-based access controls to further enforce this policy.

Secure Storage Solutions:

  • Use Established Platforms: For storing sensitive data, such as meeting recordings, opt for secure and reliable platforms like SharePoint. These platforms offer robust security features that comply with industry standards and provide options for controlled access and data encryption.

  • Regular Audits: Schedule regular audits of the storage solutions to ensure they are secure and that all data management practices comply with the latest security standards.

Training and Awareness:

  • Employee Training: Regularly train employees on the importance of data security and the specific policies your company has adopted. Ensure they understand how to handle sensitive information and the consequences of security breaches.

  • Update Policies as Needed: AI and security landscapes are continuously evolving. Keep your policies up to date by reviewing them periodically and making adjustments based on new security practices or regulatory requirements.


As we navigate the complexities of integrating AI into our business operations, understanding and implementing sturdy AI security practices is more crucial than ever. 


By limiting sensitive data exposure, employing strong encryption and authentication measures, and managing AI-generated data with strict policies, businesses can significantly enhance their security posture. 


At SpiderGroup, we understand the importance of securing data within AI systems. Our expert team is dedicated to providing you with the best security solutions tailored to protect your AI applications and the sensitive data they handle. Whether you are looking to improve your current AI systems or develop new ones, SpiderGroup is here to assist you in navigating the ever-evolving landscape of AI security.


Don’t wait until it’s too late to start considering AI security. Get in touch with SpiderGroup today, and allow us to assist you in securing your data!


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