Using AI Safely in Your Business: A Guide for Organisations

Understanding AI in Business

Artificial Intelligence (AI) refers to the capability of machines to mimic human intelligence, enabling them to learn, reason, and make decisions. AI has the potential to revolutionise productivity, streamline workflows, and enhance decision-making. However, ensuring its safe and compliant use is crucial, particularly in industries governed by strict regulations such as GDPR, DORA, data protection laws, and cybersecurity frameworks.

This blog will explore how businesses can harness AI effectively while mitigating risks and adhering to industry best practices.

Understanding Key AI Buzzwords: What Do They Really Mean?

AI adoption in regulated industries is often accompanied by a flood of terminology, some meaningful, others used as mere buzzwords. Here’s what some of the most common terms actually imply in a business context:

• Cybersecurity – Protecting digital assets, including AI-driven processes, from threats such as hacking, fraud, and data breaches.

• GDPR Compliance – Ensuring AI applications align with data protection laws, including how personal data is processed, stored, and used.

• Data Protection – Safeguarding sensitive information from unauthorised access and misuse, particularly in AI-driven automation and decision-making.

• Explainability & Transparency – Ensuring AI-driven decisions are understandable, traceable, and free from hidden biases.

• AI Ethics – Applying responsible AI principles to maintain fairness, accountability, and compliance with legal and ethical standards.

• Zero Trust Architecture – A security framework requiring continuous verification of users and devices before granting AI system access.

• AI Governance – Implementing policies and oversight mechanisms to manage AI risks and ensure compliance.

• Machine Learning Security – Safeguarding machine learning models from adversarial attacks and data poisoning.

• Regulatory Compliance – Adhering to industry-specific regulations such as FCA (Financial Conduct Authority) guidelines for AI in financial services.

• Model Drift Detection – Monitoring AI models to detect changes in data patterns that could impact accuracy and compliance.

  
  

Leveraging Large Language Models (LLMs) Securely

AI-powered tools often rely on Large Language Models (LLMs), a subset of AI designed to process and generate human-like text based on vast datasets. At Atlassian, a diverse range of open-source and third-party hosted LLMs are used to deliver the best possible user experience. These include:

• Open-source models such as the LLama series, Phi series, and Mixtral

• Third-party models including OpenAI’s GPT series, Anthropic’s Claude series, and Google’s Gemini series

  
  

To ensure optimal performance and security, Atlassian Intelligence uses dynamic routing to select the most suitable model for each scenario. Additionally, customer data is safeguarded, as the LLM providers used do not retain inputs and outputs or use them to enhance their services.

Ensuring AI Compliance with Security Regulations

When implementing AI, businesses must ensure compliance with relevant security and data protection regulations. Here’s how:

• Risk Assessments – Conduct regular AI risk evaluations to identify potential compliance gaps and vulnerabilities.

• Data Governance – Establish strict data usage policies, ensuring AI models only access necessary and anonymised data where possible.

• Audit Trails – Maintain clear documentation and logging of AI-generated decisions to ensure accountability and compliance.

• Access Control – Restrict AI tool access to authorised personnel only and enforce role-based permissions.

AI Security and Compliance at Atlassian

Security and compliance are critical when integrating AI into business operations, particularly in regulated industries. Atlassian Intelligence and Rovo have successfully completed compliance certifications for SOC 2 and ISO 27001, ensuring a high standard of data security. However, at this time, Atlassian Intelligence and Rovo are not HIPAA compliant, meaning businesses that require HIPAA adherence should disable these features until compliance is expanded.

Best Practices for Using AI Safely in Your Business

Whether leveraging ChatGPT, Confluence AI, or other AI-driven tools, implementing best practices is essential for safe usage:

• Set Clear AI Usage Policies – Define what AI can and cannot be used for within your organisation.

• Train Employees on AI Risks – Ensure teams understand how to use AI responsibly and recognise potential security threats.

• Monitor AI Outputs – Regularly review AI-generated content and decisions for accuracy and compliance.

• Utilise Secure AI Solutions – Opt for AI tools with built-in security measures, robust data encryption, and compliance certifications.

  
  

Balancing Automation with Human Oversight

While AI can significantly enhance efficiency, businesses must strike the right balance between automation and human oversight. By using a Human-in-the-Loop Approach, you can ensure critical decisions involving AI always have human review and validation. It is also key to ensure Ethical AI Use by implementing AI solutions that align with corporate values and ethical considerations. You must also ensure Continuous Monitoring & Updating by regularly reviewing AI implementations to ensure they remain compliant with evolving regulations and security best practices.

How Sourcesense International Can Help

Sourcesense International specialises in helping businesses integrate AI safely and effectively into their digital ecosystems. As an Atlassian Platinum Solution Partner, we provide guidance on AI governance, security, and compliance tailored to the financial and FinTech sectors. With our expertise, businesses can confidently leverage AI to enhance operations while maintaining regulatory compliance and security.

Conclusion

AI presents immense opportunities for Financial and FinTech organisations, but it must be adopted responsibly. By understanding regulatory requirements, implementing best practices, and balancing automation with human oversight, businesses can harness AI’s potential while maintaining security and compliance.

At Sourcesense International, we help organisations integrate AI safely and effectively into their Atlassian environments. Get in touch to learn how we can support your AI journey while staying compliant and secure.

This post was written with the help of AI.