AI Security Flaws: Why Organizations Are Falling Behind

Many organizations are failing at AI security because they aren't embedding control where AI makes decisions. What's interesting is that AI adoption is happening very quickly, moving from experimentation straight into critical business functions. However, the security approaches often lag behind. Traditional security measures are being applied to AI systems, even though these systems behave fundamentally differently. This means security often sits around the AI rather than directly within its decision-making process. AI operates as a continuous chain of events, from prompt to output, and risks exist throughout this entire chain. The bottom line is that current security methods aren't built for this dynamic, real-time decision-making environment.