BearingPoint’s director of software engineering talks AI use cases, its cybersecurity threats and solutions.

Recent major developments in AI technology have resulted in the incredibly useful tool becoming commonplace in nearly all industries. This year, analysts have predicted that leaders are looking to draw returns from their massive investments into AI, which, according to Goldman Sachs, is poised to reach nearly $160bn by 2025.

SiliconRepublic.com spoke to Karl Byrne, the director of software engineering at BearingPoint, about generative AI’s (GenAI) use cases, and he says that the technology is “all over” assisted code development and automated code reviews.

However, the increased adoption of GenAI in business has exposed vulnerabilities in cybersecurity systems, with a 2024 PwC report finding that GenAI increased the risk of cyberattacks for businesses in Ireland by 68pc that year, while only 28pc of companies in the country reported having “robust” cybersecurity measures in place.

According to Byrne, AI-assisted cyberattacks and supply-chain attacks are his biggest concerns in the coming years, and his top solution is to adopt a “zero-trust architecture framework”. Moreover, he said that the increased use of GenAI in businesses will also increase the demand for AI specialists, data analysts and employees skilled in infrastructure as code.

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Words by Suhasini Srinivasaragavan