Featured Insight

DSARs in the age of GenAI: From one-off requests to scaled campaigns 

Not long ago, submitting a well-structured Data Subject Access Request (DSAR) took time. It required a working understanding of data protection rights, a sense of how organisations process information, and often a fair amount of persistence.  Now, it takes five minutes with a free GenAI account.  That shift hasn’t changed the law. But it has changed the experience of DSARs in a way that privacy teams are starting to feel quite acutely.  What we’re seeing isn’t a surge in bad-faith requests. It’s something more nuanced and more challenging. Requests are becoming easier to generate, more sophisticated in tone, and harder to deal with efficiently.   How is AI changing the DSAR landscape? Generative AI has changed how DSARs are created, and this is reshaping the workload for privacy teams. The barrier to entry is lower A requester no longer needs to understand your processing activities – or even the structure of

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Forensic data analysics

How to visualise data for financial crime investigations

Seeing through the noise Modern financial investigations demand speed, precision, and the ability to make sense of vast, complex data. Investigators routinely handle millions of transactions and relationships spanning systems, geographies, and platforms. Under these

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Forensic data analysics

Discover forensic data analytics techniques

Data is everywhere – and growing at an astonishing rate. This presents both opportunities and challenges, especially when it comes to investigating fraud, cybercrime, and regulatory breaches. Traditional forensic methods, while still valuable, often struggle

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Forensic data analysics

Investigate fraud with forensic data analytics

Enriching dark data to uncover hidden patterns In our first article on Forensic Data Analytics (FDA), we explored how advanced analytics, AI, and machine learning are transforming forensic investigations – helping organisations detect fraud, identify

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