Security Leadership in the AI Era: Building & Running the Program
Run a modern security program that leverages AI to do more with less — without the hype. For CISOs, security managers, and IT directors: the business of security (strategy, board, budget, team) reframed for the AI era, with the emphasis on how to actually use AI to run security better — the AI-augmented SOC, agentic SecOps with guardrails, and AI across detection, triage, threat intel, IR, and compliance — plus governing AI so you can leverage it safely, and the metrics that prove it works. Build an AI-era security program strategy. Defensive and vendor-neutral; honest about where AI helps and where it doesn't.
"We built an AI-powered security program that does more with less: AI on the toil, our people on judgment — with governance guardrails, a clear board narrative, and metrics that show AI actually moved MTTD/MTTR and coverage"
6 Interactive Sessions
Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.
- 1
The AI-era security leader's mandate — AI as tool, surface, and adversary force-multiplier
Your job is no longer just to defend the org — it's to build a security program that uses AI to do more with less, responsibly, while governing the new risks AI creates on both sides of the fight.
- 2
Strategy, risk & the board — translate security into business risk, and make the AI case
The board doesn't buy controls — it buys risk reduced per dollar. Your job is to translate security into business/financial risk, make the budget case for AI-powered capability, and answer the board's new question: how are we using AI to defend, and what's our AI risk?
- 3
The AI-augmented SOC & team — humans on judgment, AI on toil
The winning operating model isn't AI instead of analysts or analysts drowning in alerts — it's analyst + AI, where AI absorbs the toil (triage, enrichment, correlation, summaries) and your people spend their scarce hours on judgment, with humans in the loop on any consequential action.
- 4
Leveraging AI across the security lifecycle — where it genuinely helps, and where it doesn't
AI isn't one feature — it's leverage at nearly every stage of the lifecycle (detection engineering, threat intel, phishing analysis, vuln prioritization, incident response, GRC, reporting). Your job as a leader is to know where each genuinely helps, where its limit is, and how to buy it without falling for AI-washing.
- 5
Governing AI so you can leverage it — adopt safely so you CAN use it
You can't responsibly leverage AI without governing your own and the org's use of it — what data goes into AI tools, what agents are allowed to do, and the shadow AI you can't see. Governance isn't the brake on adoption; it's what makes confident adoption possible.
- 6
Metrics, maturity & operating rhythm — and the capstone strategy
You can't run what you can't measure. Measure the program AND AI's specific contribution (MTTD/MTTR before-and-after, automation rate, analyst-time-saved, false-positive reduction), track maturity, keep an operating cadence, guard against automation complacency — then assemble it all into an AI-era security program strategy.
Production patterns you'll master
Synthetic data included
- AI-era security program strategy template
- AI-leverage map (by function, with limits)
- AI-augmented SOC operating model
- Metrics & board-narrative guide
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your security leadership in the ai era: building & running the program?
First course free. $20 per course after that.