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From drafting emails to debugging code, employees are increasingly adopting GenAI tools like ChatGPT, Google Gemini, and Claude to get work done faster. However, as convenient as they are, these tools were not designed with enterprise data protection in mind.
According to a TELUS Digital Experience survey, 57% of enterprise employees admit to entering confidential information into GenAI tools.
It’s no secret that GenAI tools often hallucinate. The danger is that employees may take the information as truth, utilising it in their work. This results in inaccurate reports, miscommunication, or flawed content that impacts internal productivity or decision-making.
Employees may paste Personally Identifiable Information (PII) such as credit card details or confidential company information like source code into public GenAI tools, unknowingly exposing it to external systems. This data may be stored and used for model training, meaning it could be generated in its responses.
CISOs and security teams often lack visibility into how GenAI tools are being used in the organisation. There’s no clear audit trail of prompts or tools used, making it difficult to detect policy violations, data exposure, or misuse in real time.
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