Introduction

Digital resilience—the ability to prevent, withstand, and recover from digital disruptions—has long been a strategic priority for enterprises. With the rise of agentic AI, the urgency for robust resilience is greater than ever.

Agentic AI represents a new generation of autonomous systems capable of proactive planning, reasoning, and executing tasks with minimal human intervention. However, the autonomy, speed, and scale at which agentic AI operates can amplify the impact of even minor data inconsistencies, fragmentation, or security gaps.

## Technical Details

Adding more detail, the autonomy of agentic systems increases the complexity and risk for enterprises. In fact, autonomous systems can amplify errors in data and security issues. Artificial intelligence can also be vulnerable to cyber attacks.

Data is a fundamental element in managing digital resilience of agentic systems. An interconnected network of artificial intelligences can explore and understand the entire database of the organization. This means that organizations can leverage data to improve their resilience.

## Practical Implications

Enterprises must consider their role within the broader digital society and seek to create harmony between system autonomy and human responsibility.

## Conclusion

Digital resilience of agentic systems is a critical topic that requires attention from enterprises. While technology may seem like an easy solution, it's essential to consider the role of humans in optimizing efforts and preventing potential errors.