Hiring a diverse workforce could help tackle data privacy issues
Why does this matter? Data has emerged as the world’s most valuable resource. Training a workforce that can manage information effectively while adhering to regulatory guidelines is essential to ensure companies do not face financial penalties or reputational damage.
Ongoing issue — A shortage in cybersecurity personnel is nothing new. Companies have previously been forced to adopt AI systems to replace a lack of cyber talent, while select firms began crowdsourcing “friendly” hackers to identify network vulnerabilities.
A lack of expertise, however, not only impacts how firms respond to a cyber event, but also causes problems for companies’ day-to-day managing of data.
Data misuse — Without trained employees, companies can be their own worst enemy when it comes to data management and sharing.
Crisis Text Line, for example, only recently stopped sharing sensitive user data with AI-enabled customer service platform Loris.ai after backlash from privacy experts. Despite the right decision being made, perhaps the issue would have been avoided if in-house personnel were aware of the implications of sharing personal data with third parties.
Diversifying talent — Prolonged shortages suggest a fresh approach to recruitment is needed to attract workers to cyber roles. The UK has already begun retraining service veterans for cybersecurity roles, however, diversity and inclusion initiatives could also be an answer.
Financial service companies have previously reported that the hiring of neurodiverse individuals has enabled them to outperform their competitors. This is just one example, and its likely similar benefits could be reaped by diversifying cybersecurity. Recruiters are now beginning to prioritise inclusion in their pursuit of talent as more teams recognise the positive impact it can have.
Mandy Andress, chief information security officer at solutions firm Elastic, outlines how diverse perspectives are crucial when considering the evolution of threats and risks on a daily basis, while different viewpoints could challenge data management practices.