Harvey Nichols cyber attack: securing retail against data breaches
The recent data breach in September at Harvey Nichols, a leading luxury retailer, underscores the ...
Read MoreWhen employees independently adopt AI tools, they bypass official security protocols and introduce unmanaged risks. Shadow AI creates a chaotic landscape, where IT leaders lack visibility into data flows, access points, and potential vulnerabilities, putting the entire organisation at risk. Unvetted AI tools lead to sensitive data being shared or processed without proper safeguards. This creates significant risks of breaches, unauthorised retention, or misuse of your business-critical information.
With AI tools operating outside of approved frameworks, businesses risk violating industry regulations and privacy/data protections laws. Shadow AI can also lead to accidental breaches of industry standards or frameworks through mishandling of regulated data, resulting in severe financial penalties and compliance setbacks.
Shadow AI bypasses security protocols, introducing tools that may be poorly secured or exploitable. These unmanaged tools increase the risk of malware, API breaches, or adversarial attacks, exposing your business to cyber threats you can’t see or control. Unvetted AI tools often lack the necessary security features to safeguard sensitive data. These tools may inadvertently access, store, or process information in ways that compromise data integrity and privacy.
Should a product design team experiment with an AI image generator for concept art, they upload proprietary designs and company IP into an unsanctioned tool. Months later, they discover that elements of their designs appear in the AI tool's public dataset and outputs used by competitors. The company realises it has no legal recourse due to the tool's terms of service, which allow for the use of uploaded data in AI training. This results in a loss of competitive advantage and potential legal complications.
If an unsanctioned AI-based legal document generator is used to draft a business contract, you're saving time, but mistakenly, it overlooks critical clauses required for the company to comply with industry regulations. The contract is signed, but later, during an audit, the business is penalised for failing to meet regulatory standards, costing significant time and money to rectify. Further, the lack of due diligence exposes gaps in the company’s risk management processes.
Imagine a marketing team using an AI-powered tool to generate customer insights by uploading internal spreadsheets containing sensitive client data. Unbeknownst to them, the tool’s terms of service allow for uploaded data to be stored and used for training its AI models. A few months later, sensitive customer information is exposed in a data breach affecting the AI vendor. The business faces regulatory fines for non-compliance with data protection laws (like GDPR), reputational damage, and the loss of client trust.
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