Balancing AI Innovation with Security
A reflection on essential Practices for Business Leaders
Over half of CEOs recently surveyed by Deloitte revealed they have already implemented generative artificial intelligence in their businesses to boost efficiency. Many are now looking to generative AI to uncover new insights, reduce operational costs, and accelerate innovation.
While AI offers numerous quick wins in terms of efficiency and automation, embedding AI more deeply within operations necessitates a keen understanding of potential risks. Historically, security has often been an afterthought in technology adoption.
As technology evolved from standalone personal computers to interconnected enterprise networks and the internet, threat actors adapted their tactics, moving from viruses to worms, spyware, and rootkits to exploit new vulnerabilities. The industrialization of hacking accelerated this trajectory, enabling automated and evasive attack techniques and creating a thriving criminal economy. In each phase, security technologies and best practices emerged, often in response to significant breaches and fallout. The proliferation of Internet of Things (IoT) devices and operational technology environments has expanded the attack surface. Water systems, medical devices, smart light bulbs, and connected cars are now under threat…
