What happens when AI starts finding vulnerabilities faster than security teams can respond? As AI becomes a force multiplier for both defenders and attackers, organizations face a new reality where speed, scale, and decision-making matter more than ever.
In this episode, our hosts are joined by Andrew Desender, Senior Security Consultant at AgileBlue, and Dylan Marcoux, Founder and Principal Consultant at Aurora Cybersecurity.
Together, they explore how emerging AI models are accelerating vulnerability discovery, changing how threat actors operate, and creating new leadership challenges for organizations trying to balance security, resilience, and operational continuity.
Key Takeaways:
- Threat actors are increasingly using AI for reconnaissance, social engineering, and exploit development, even when AI is not the primary attack driver.
- Operational Technology (OT) environments face unique challenges because availability and safety often limit traditional patching approaches.
- Organizations should focus on protecting their digital crown jewels through threat modeling and risk-based prioritization.
- Security leaders must look beyond patching and build layered defenses through hardening, segmentation, governance, and human expertise.