As the digital landscape evolves, the dual role of Artificial Intelligence (AI) in cybersecurity has emerged as a critical concern for organizations globally. Recent reports indicate a surge in AI-driven cybersecurity threats, posing unprecedented challenges even to seasoned Information Security teams.

AI, lauded for its efficiency and predictive abilities, now stands as a double-edged sword—beneficial when used for preemptive threat detection, yet perilous when leveraged by cybercriminals for more sophisticated attacks.

A remarkable instance recently involved how AI algorithms were employed in crafting phishing emails. These AI-generated emails mimicked human correspondence with striking accuracy, achieving an alarming 90% success rate in bypassing standard detection tools. Such AI-powered spear-phishing campaigns highlight how traditional cybersecurity measures are increasingly insufficient against evolving threats.

One particular case that caught the attention of cybersecurity experts involved a well-known bank. Cyber adversaries harnessed AI tools to hack into its system, exfiltrating customer data before the breach was even detected. This incident underscored the exigency for organizations to adopt advanced, AI-enhanced cybersecurity protocols to effectively counter these intelligent threats.

Moreover, the rise in autonomous AI systems has led to another domain of concern—rogue AI. These systems can independently learn and execute complex malicious cyber activities with little human intervention. As seen from recent security breaches, AI has redefined the threat landscape, demanding novel strategies for defense.

To effectively combat this AI-driven menace, organizations must aim to strengthen their cybersecurity frameworks, integrating AI technologies not as a luxury but as a necessity. Implementing AI-based anomaly detection systems can significantly enhance the identification of suspicious patterns and alert organizations in real-time.

Furthermore, the collaboration between cybersecurity firms and AI developers is crucial in staying ahead of malicious actors. This includes consistent cross-industry partnerships to share threat intelligence data, aiding the development of more sophisticated and defensive AI algorithms.

Responding to AI threats also calls for robust regulatory policies. Global regulatory bodies must work in tandem with tech firms to set standards, especially concerning the ethical use of AI.

The future of cybersecurity lies in the blend between human expertise and AI. While AI's ability to bolster cybersecurity initiatives offers immense potential, the risks associated with its misuse necessitate advanced strategic foresight.