A.I. has the power to accelerate innovation—but it also introduces new risks.

When providers rush to deploy A.I. models without proper security measures, they may unintentionally open the door to:

• 👉Data leaks and exposure of sensitive information
• 👉Exploitable flaws in training data and model outputs
• 👉Over-reliance on A.I. decisions without human oversight
• 👉New attack surfaces for cybercriminals to exploit

Organizations adopting A.I. must not assume providers have “security built in.”

True resilience requires independent testing, governance, and continuous monitoring.