For CISOs and Security Executives

AI strategy and training for the people who have to answer for it

Security leaders are accountable for AI risk before their organizations have finished deploying AI. GTK Cyber gives you the strategic fluency to govern it: risk frameworks, vendor evaluation, and an AI-ready security organization. Taught by practitioners who red-team AI systems, not full-time trainers.

The risk lands on your desk before the strategy is written

Most security leaders are managing the wrong version of AI risk: fixating on dramatic nation-state scenarios while shadow AI, vendor tools with embedded models, and AI features in security products already sit inside the organization. The exposure is here now, and nobody owns the intersection of security, legal, and the business units deploying AI.

Closing that gap does not take a technical deep-dive. It takes decision-level fluency: enough understanding of AI to govern it, evaluate it, and direct your team, without having to take a vendor's word for any of it. That is what this track is built to give you.

What we help security leaders do

Four decisions every security executive now owns.

Govern AI adoption

Stand up a governance program mapped to NIST AI RMF, the EU AI Act, and ISO 42001, with a cross-functional structure that can actually gate new deployments.

Assess the risk already in the building

Inventory shadow AI, vendor tools with embedded AI, and developer tooling. Most of the exposure is already deployed, not hypothetical.

Evaluate AI security vendors

Ask the questions that separate real capability from marketing: training data, false-positive rates, explainability, and resilience to prompt injection.

Build an AI-ready organization

Give your team the hands-on skills to use, defend, and red-team AI, and give leadership the fluency to direct that work with confidence.

Executive training

Built for decision-makers. No technical prerequisites. Available on-site, virtual, or as a private leadership briefing.

Strategies for security leaders

The moves that separate a real AI risk posture from a policy binder.

Start with an AI asset inventory, not a policy document.

You cannot govern what you cannot see. Before writing policy, inventory the AI already in your environment: procurement records, vendor tools with new AI features, and developer tooling like Copilot and internal LLM APIs. Most organizations are surprised by the third category.

AI risk blind spots CISOs miss →

Treat shadow AI as a data-classification problem, not an awareness one.

Employees will use consumer LLMs for work. The question is what data they are allowed to put in them. Extend existing data classification and DLP controls rather than relying on training reminders.

AI governance training for executives →

Pick a governance framework and apply it, then treat compliance as an overlay.

Use NIST AI RMF as the operational framework and the EU AI Act as a compliance overlay if you have EU exposure. Neither tells you your specific risk, but both get the question in front of the right stakeholders.

A Cyber Executive's Guide for AI →

Run a real proof of concept before any AI security purchase.

Test the vendor on your data with success criteria defined in advance, and demand access to raw detection output. If a vendor will not run a POC on your environment, that is the answer.

AI security vendor evaluation checklist →

Reading for security leaders

The articles CISOs actually forward to their teams. Prefer a checklist? Grab the free executive resources.

All articles →

CISO Brief

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Practitioner analysis on AI risk, governance, and vendor evaluation for security leaders. One email a month. No noise.

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Executive AI training: common questions

What security leaders ask before booking a briefing.

What AI training does a CISO or security executive actually need?
A security executive needs decision-level fluency, not a technical deep-dive: what AI can and cannot do for security, how to govern AI adoption (NIST AI RMF, the EU AI Act, ISO 42001), how to evaluate AI security vendors without being sold to, and how to build an AI-ready security organization. GTK Cyber's one-day executive course covers exactly this, taught by practitioners who red-team AI systems for a living.
How is executive AI training different from technical AI security training?
Executive training is about oversight and decision-making: governance, risk, budget, and vendor selection. Technical training is about hands-on skills: prompt injection testing, adversarial ML, detection engineering. GTK Cyber teaches both, so an executive briefing and the technical team's bootcamp share the same practitioner point of view rather than coming from two disconnected vendors.
Can GTK Cyber deliver an executive briefing on-site for our leadership team?
Yes. The executive course runs as a one-day session and can be delivered on-site, virtually, or as a private briefing for a leadership team or board. Contact us to scope a session around your specific AI risk exposure and the decisions in front of you.
What frameworks should our AI governance program be built on?
Most US-based security organizations start with the NIST AI Risk Management Framework as the operational backbone and treat the EU AI Act as a compliance overlay if they have EU operations or customers. ISO 42001 is emerging as the certifiable management-system standard. The right answer depends on your regulatory exposure; the executive course walks through how to choose and apply them.

Bring an executive briefing to your leadership team

One day, no technical prerequisites, built around your AI risk exposure. Tell us what you need to scope a session.

Request an Executive Briefing