Cybersecurity has always reminded me of the early days of heavy metal. It began with a small community of committed practitioners who valued grit and authenticity. It was loud, rough and shaped by people who treated the work like a craft. That culture formed the foundation of the industry.
AI has arrived in the same way Napster arrived in the music world. It disrupted the system with sudden force and placed powerful capability into the hands of anyone who wanted it. It removed the barrier between trained defenders and casual participants. It changed expectations across the entire ecosystem and set off a race that the industry was not prepared to manage.
The truth is becoming unavoidable. AI is dragging cybersecurity into a new era and the transition is not gentle. It is disruptive in ways that cannot be softened with broad marketing statements that promise safety without substance. It is the kind of change that alters what it means to defend an enterprise because the nature of the adversary is evolving at the same time. The attacker no longer needs deep expertise. The attacker only needs access to the right model and enough patience to let the system learn how to exploit trust.
This moment reminds me of something I did not include in the first post. The shift in heavy metal from the garage to the arena was not only about scale. It was about a change in the relationship between the audience, the performers and the industry that supported them. That same transition is happening in cybersecurity. The early days required skill, discipline and a sense of craft. The current environment rewards speed and automation without asking enough questions about integrity, provenance or intent.
AI is accelerating that shift with a level of force that many teams are not prepared for. When defenders rely on tools they do not fully understand, and when the industry encourages rapid adoption without real architectural thinking, we create vulnerabilities that look harmless until they are exploited at scale. This is the part of the story that should concern every executive in the industry. Not because AI is inherently harmful, but because AI is evolving faster than the governance structures that surround it.
Agentic AI is not theoretical. It is emerging in ways that give attackers new forms of persistence and new pathways across the kill chain. These systems will not wait for permission. They will not pause to seek approval. They will adapt to controls that were never designed to confront autonomous decision systems. If the community continues to chase comfort over clarity, the next wave of incidents will be defined by a level of operational speed that exceeds our current playbooks.
This is the moment to step back and rebuild the discipline that created the field in the first place. Not nostalgia. Not resistance to innovation. A call to restore the craft. A call to understand the systems we deploy before we hand them the authority to act. A call to build resilience that matches the velocity of the threat.
If you are leading teams, this is the time to ask the harder questions. What are we operationalizing. What are we trusting. What assumptions in our architecture will fail when autonomous decision systems begin to influence the adversary landscape.
The next era of cybersecurity will not be defined by hype. It will be defined by those who stayed grounded in reality while the industry raced toward convenience.
If you are ready to talk about how to prepare your organization for that future, the conversation continues here.