While the prevalence of high-severity security flaws in applications has dropped slightly in recent years, the risks posed by software vulnerabilities remains high, and remediating these vulnerabilities could stand in the way of new application development. Responsible AI offers a solution to the challenge of balancing risk mitigation and software development.
Smith says South Africa’s software security environment is no different from the situation in the rest of the world. “We find the same challenge everywhere, in that in any programming problem you attempt to solve, there are many ways that will introduce weakness. Mistakes will happen unless you put security at the heart of development. The only way to mitigate this is by testing early and often, and prioritising remediation,” he says. “However, prioritising is difficult.
AI offers significant opportunities to support prioritising and remediation, but Smith cautions against having too much faith in generative AI at this stage. Generative AI, sourcing its data from the internet, may use inaccurate or biased data. He notes that organisations may trust the answers too implicitly and not have the proper checks in place.
Naidoo says many South African organisations are still grappling with finding the balance between remediating code vulnerabilities while also rolling out new software features and functions to support business growth. “Developers, in particular, are under constant pressure to deliver at speed,” he says.
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