CYBERSECURITY
By reinstating the importance of QA and secure design principles, organisations can build software that is not just functional but resilient by design, reducing both technical debt and exposure to modern threats.
Q. IN WHAT WAYS HAVE AI ADVANCEMENTS BOTH AIDED SOFTWARE DEVELOPMENT AND SIMULTANEOUSLY INTRODUCED NEW VULNERABILITIES IN THE SOFTWARE SUPPLY CHAIN?
» AI has accelerated software delivery by assisting with code generation, testing and analysis. Some organisations are pushing AI into greater roles through the deployment of AI Agents to increase automation and scale. AI in code assist enables developers to detect issues earlier and automate repetitive tasks, improving productivity and quality. However, it has also opened the door to new risks.
AI-generated code can embed insecure logic or pull from unverified sources, introducing vulnerabilities that may go unnoticed until exploited. Adversaries are using the same technology to scale social engineering and create synthetic identities, deepfakes and malicious code with remarkable precision.
The dual nature of AI – both a powerful defence and a potential access point for attackers – underscores the need for human oversight, ethical frameworks and validation processes in every stage of software development.
140 December 2025