Secure AI: Cybersecurity Must Be Built-in From Day One

Businesses are rapidly adopting AI for customer service, automation, data management, and decision-making. What's interesting is that while AI offers immense productivity gains, many companies overlook the new security threats that come with it. The security of an AI system isn't just about the AI itself. It also depends on the security of the data it uses, the software it relies on, and the people who access it. If an operator gains unauthorized access or tampers with the data, the security risk to the organization can be very large. The bottom line is that security should be the foundation of a company's AI strategy, not an afterthought. Building security in from day one is easier and less expensive than addressing issues after deployment. The National Institute of Standards and Technology, or NIST, suggests integrating security and risk management into AI development to minimize weaknesses early on. This approach helps protect valuable data, like customer information and financial records, that are fed into AI systems.