How Leaders Should Think About AI and Cybersecurity Risk

By Dan Evert, CCNP   Published: 07/25/25   Updated: 10/30/26   2 min read

Leaders should treat AI as a security problem with two sides. The same technology that speeds up detection and triage also helps attackers scale up deception and exploit weak governance. Whether AI matters is settled. The real question is how to adopt it without widening your own exposure.

That means security leaders have to deal with tools and policy at once. Oversight too. Strong programs treat AI as a way to speed up operations and as a governance problem, especially where model use and automated decisions move faster than existing controls.

New threats from AI

AI gives attackers new tools. Criminals use it to generate malware and to write phishing emails that read like a colleague wrote them. Some run whole disinformation campaigns with it. As models improve, they get better at imitating people, which makes older defenses less reliable. Economists and risk specialists have also warned that AI changes the balance for both attackers and defenders of critical infrastructure.

What leaders need to do

Handling AI’s two sides takes leadership. Organizations need AI ethics in their strategic plans and staff who keep learning as threats change. Leaders also have to work across sectors to build security frameworks that hold up.

Why cooperation matters

Cyber threats cross borders, so no single organization can handle them alone. Leaders should push for cooperation across countries and industries, pooling resources and intelligence against AI-driven attacks. Law firms and other advisers that handle breach response make the same point: partnerships and information sharing are central to collective resilience.

Policy and law

AI risks call for clear policy and law. Governments are under pressure to write rules that allow innovation without sacrificing security. International agreement on AI governance is still missing. Any rules will need to adapt quickly as the technology changes.

What regulation could cover

Good rules would set accountability for AI used in security. They would also require transparency. Governments are struggling to keep up, so policy work has to start before AI becomes a bigger attack tool.

Questions for the next board meeting

AI can protect a company or be turned against it. Leaders who want the first outcome should know which AI tools are in use and what data they can reach. They should test their defenses against AI-written phishing. The open question is whether governments and companies will move fast enough together.

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Dan Evert, CCNP

Dan Evert is a self proclaimed Router Jockey. Dan got heavily involved in networking right out of high school and has never looked back! Dan is giving back by working with high school students to get them involved and interested in Networking and Security.