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Cyber Essentials Certification for Law FirmsPosted 5th November 2025
Most organisations have realised that AI is not a sentient system aiming to take over the world, but rather an invaluable tool. They have come to utilise it to improve productivity and efficiency. AI solutions are being installed at an astonishing rate. Some are used to automate repetitive tasks, while others provide enriched data analysis on a previously unrealised level. While this can certainly boost productivity, it also raises concerns around data security, privacy, and cyber threats.
The key challenge is how the power of AI can be harnessed to remain competitive while mitigating cybersecurity risks.
AI is no longer just a tool for large enterprises. It is increasingly accessible to all organisations. Cloud-based systems and machine learning APIs have become more affordable and essential in the modern business environment for small and medium-sized businesses (SMBs).
AI is commonly used for:
These tools help staff work more efficiently, reduce errors, and support data-driven decision-making. However, organisations must take steps to minimise cybersecurity risks.
An unfortunate side effect of increased productivity through AI is that it expands the attack surface for cybercriminals. Organisations must approach the implementation of new technology with careful consideration of potential threats.
AI models require data to function. This may include sensitive customer information, financial records, or proprietary work products. If this data is sent to third-party AI platforms, it is crucial to understand how and when it will be used. In some cases, AI providers may store the data, use it for training purposes, or, in the worst-case scenario, unintentionally expose it.
Many employees use AI tools in their day-to-day work, including generative platforms or online chatbots. If these tools are not properly vetted, they can create compliance and security risks.
Even when using AI tools, companies must maintain due diligence. Many users assume AI-generated content is always accurate, which is not the case. Relying on this information without verification can result in poor decisions.
Securing AI tools is straightforward if approached correctly.
It is essential to set limits and guidelines for AI use before introducing any AI tools. Key points include:
Employees should be educated on AI security practices and the correct use of installed tools to minimise risk.
Organisations should select AI platforms that offer:
Role-based access controls (RBAC) restrict AI tools to only specific types of data, providing enhanced protection for sensitive information.
Monitoring AI usage organisation-wide is critical to understanding:
Interestingly, while AI poses potential security concerns, it is also highly effective in defending against cyber threats. Organisations use AI to:
Tools such as SentinelOne, Microsoft Defender for Endpoint, and CrowdStrike incorporate AI to identify threats swiftly and accurately.
Humans remain the weakest link in cyber security. Even the strongest defences can be compromised by a single click. Employees must be trained on the proper use of AI tools, including:
AI can transform any organisation’s technological landscape, unlocking new possibilities. However, productivity without proper protection is a risk no organisation can afford. Expert guidance, practical toolkits, and resources are essential to harness AI safely and effectively.
