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Chief Information Security Officer

Security Awareness & Culture

Enhances✓ Available Now

What You Do Today

Build and maintain a security-conscious culture — training programs, phishing simulations, incident reporting procedures, and the constant work of making 10,000 employees care about security.

AI That Applies

AI-personalized security training that adapts to each employee's role, risk profile, and performance on phishing simulations. Targeted interventions for high-risk individuals.

Technologies

How It Works

The system monitors network traffic, access logs, and threat intelligence feeds in real time. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The culture building.

What Changes

Training becomes personalized and continuous. The employee who clicked on the last three phishing simulations gets additional targeted training. High-risk roles get specialized content.

What Stays

The culture building. Security awareness isn't a training program — it's a culture where people report suspicious emails without shame, question unusual requests, and understand why it matters.

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 security awareness & culture, understand your current state.

Map your current process: Document how security awareness & culture works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: The culture building. 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 Adaptive Learning 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 security awareness & culture 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 board chair or lead independent director

If we automated the routine parts of security awareness & culture, what would the team do with the freed-up time?

They shape expectations for how AI appears in governance

your CTO or CIO

If security awareness & culture were fully AI-assisted, which exceptions would still need a human — and are those the high-value parts?

They own the technology infrastructure that enables AI adoption

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.