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Director of Security

Manage security awareness and training programs

Enhances✓ Available Now

What You Do Today

Run the security awareness program — phishing simulations, training content, and the ongoing effort to make security part of organizational culture.

AI That Applies

AI-adaptive phishing simulations that tailor difficulty to each employee's demonstrated security awareness and learning patterns.

Technologies

How It Works

The system tracks learner progress, competency assessments, and engagement patterns across the learning environment. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Training becomes personalized. Employees who need more coaching get it; those who are security-savvy get less interruption.

What Stays

Building genuine security culture requires leadership, not just training modules.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage security awareness and training programs, understand your current state.

Map your current process: Document how manage security awareness and training programs works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Building genuine security culture requires leadership, not just training modules. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support KnowBe4 tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage security awareness and training programs takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your CIO or VP IT

What's the biggest bottleneck in manage security awareness and training programs today — and would AI address the bottleneck or just speed up something that's already fast enough?

They're prioritizing which IT functions to automate

your cybersecurity lead

How much of manage security awareness and training programs follows repeatable rules vs. requires genuine judgment — and can we quantify that?

AI tools create new attack surfaces and new defense capabilities

an IT leader at a company ahead on AI infrastructure

Which training programs have the highest completion rates, and which have the lowest — what's different?

Their lessons on AI tool adoption save you from repeating their mistakes

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.