Security
to information security, algorithms are king and AI, Machine Learning (ML) or a similar cognitive computing technology, could come up with a way to secure data. Tis is a real benefit of AI as it can not only identify and sort
massive amounts of information, but it can identify patterns allowing organisations to see things that they never noticed before. Tis brings a whole new element to information security. While AI is going to be used by threat actors as a tool to improve their effectiveness of hacking into systems, it will also be used as a tool by ethical hackers to try to find out how to improve security which will be highly beneficial for businesses.
The challenge of employees and security Employees, who are seeing the benefits of AI in their personal lives, are using tools like ChatGPT to improve their ability to perform job functions. At the same time, these employees are adding to the complexity of data security. Companies need to be aware of what information employees are putting onto these platforms and the threats associated with them. As these solutions will bring benefits to the workplace,
companies may consider putting non-sensitive data into systems to limit exposure of internal data sets while driving efficiency across the organisation. However, organisations need to realise that they can’t have it both ways, and data they put into such systems will not remain private. For this reason, companies will need to review their information security policies and identify how to safeguard sensitive data while at the same time ensuring employees have access to critical data.
improving efficiencies to identifying patterns and insights, it also increases security risks as should a breach occur, this data is sorted out in a way that is easy for threat actors to use. Further threat evolves when using Large Language Model (LLM)
technologies which removes security barriers as data is placed in a public domain for anyone that uses the technology to stumble upon and use. As LLM is effectively a bot that doesn’t understand the detail, it produces the most likely response based on probability using the information that it has at hand. As such many companies are preventing employees from putting any company data into tools like ChatGPT to keep data secure in the confines of the company.
Security benefits of AI While AI may present a potential risk for companies, it could also be part of the solution. As AI processes information differently from humans, it can look at issues differently and come up with breakthrough solutions. For example, AI produces better algorithms and can solve mathematical problems that humans have struggled with for many years. As such, when it comes
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Not sensitive but useful data Companies are aware of the value that AI can bring while at the same time adding a security risk into the mix. To gain value from this technology while keeping data private they are exploring ways to implement anonymised data using pseudonymisation for example which replaces identifiable information with a pseudonym, or a value and does not allow the individual to be directly identified. Another way companies can protect data is with generative
AI for synthetic data. For example, if a company has a customer data set and needs to share it with a third party for analysis and insights, they point a synthetic data generation model at the dataset. Tis model will learn all about the dataset, identify patterns from the information and then produce a dataset with fictional individuals
that don’t represent anyone in the real data
but allows the recipient to analyse the whole data set and provide accurate information back. Tis means that companies can share fake but accurate information without exposing sensitive or private data. Tis approach allows for massive amounts of information to be used by machine learning models for analytics and, in some cases, to test data for development. With several data protection methods available to companies
today, the value of AI technologies can be leveraged with peace of mind that personal data remains safe and secure. Tis is significant for businesses as they experience the true benefits that data brings to improving efficiencies, decision making and the overall customer experience.
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