Communicate the purpose of AI-supported threat hunting to those who have to comply with it.
Proactive Threat Hunting Supported by Artificial Intelligence
Build a working method for AI-supported threat hunting that stands up to scrutiny and survives daily pressure.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The distance between a working prototype of AI-supported threat hunting and a system the business can depend on is where most budgets disappear. Technology choices around this part of digital and data-driven work are easy to reverse on paper and expensive to reverse in practice. The version of this strand of digital and data-driven work described in the manual and the version practised on the floor tend to diverge over time. Participants who influence AI-supported threat hunting without directly controlling it will find the content directly usable. Across sectors, teams that rehearse the digital and data-driven work capability outperform teams that only plan it. Participants gain a realistic view of what this aspect of digital and data-driven work costs and what it returns. The teaching approach is deliberately practical: participants build a delivery roadmap for AI-supported threat hunting as they go. It establishes a shared vocabulary for this part of digital and data-driven work so that teams can disagree productively about it. It closes by agreeing the smallest change to the wider digital and data-driven work agenda that would make a visible difference.
Expected Learning Outcomes
Establish what evidence would demonstrate that AI-supported threat hunting is under control.
Define success criteria for AI-supported threat hunting in business terms before any technology is selected.
Prepare the human side of AI-supported threat hunting: who is retrained, who is redeployed, and when they are told.
Diagnose whether a problem in AI-supported threat hunting is one of design, resourcing or discipline.
Establish monitoring that detects model or service degradation in AI-supported threat hunting before users report it.
Build a security and access model for AI-supported threat hunting appropriate to the sensitivity of the data involved.
Who Should Attend
Public sector digital leads applying AI-supported threat hunting under procurement and privacy rules.
Risk managers assessing the exposure created by AI-supported threat hunting.
Data and analytics leads responsible for the pipelines behind AI-supported threat hunting.
Procurement and contracting staff whose agreements set obligations around AI-supported threat hunting.
Information security officers reviewing the exposure created by AI-supported threat hunting.
Business analysts translating requirements for AI-supported threat hunting.
Course Modules
AI-supported threat hunting: people, skills and the change that follows
2 sessions · 8 pointsSession 1Proving AI-supported threat hunting paid for itself
- Identify every system AI-supported threat hunting must read from or write to.
- Confirm the retention and deletion rules applied to data inside AI-supported threat hunting.
- Benchmark the organisation's AI-supported threat hunting against comparable operations.
- Identify the skills the team lacks to operate AI-supported threat hunting independently.
Session 2Building the method for AI-supported threat hunting step by step
- Decide which legacy process AI-supported threat hunting retires, and set the date.
- Confirm that reporting on AI-supported threat hunting reaches the people who can act.
- Define the service level AI-supported threat hunting must meet and what happens when it is missed.
- Assess the regulatory obligations AI-supported threat hunting triggers in each jurisdiction.
AI-supported threat hunting: cost, licensing and total running expense
2 sessions · 8 pointsSession 1Explaining AI-supported threat hunting to people whose jobs it changes
- Assign responsibility for keeping documentation of AI-supported threat hunting current.
- Build the competence framework that supports AI-supported threat hunting.
- Estimate compute and licensing cost for AI-supported threat hunting at expected and at peak load.
- Set out the decisions in AI-supported threat hunting that require sign-off and by whom.
Session 2Where AI-supported threat hunting typically breaks, and why
- Confirm that contractual obligations around AI-supported threat hunting are understood.
- List the data sources AI-supported threat hunting consumes and confirm each has a named owner.
- Classify the data in AI-supported threat hunting and apply access controls that match the classification.
- Reduce the variation in how AI-supported threat hunting is carried out between teams.
AI-supported threat hunting: from pilot to production
2 sessions · 8 pointsSession 1Making AI-supported threat hunting secure without making it unusable
- Design the pilot for AI-supported threat hunting so that a negative result is still useful.
- Record the reasoning behind each architectural choice in AI-supported threat hunting.
- Agree who is on call for AI-supported threat hunting outside working hours.
- Plan the sequence in which improvements to AI-supported threat hunting will be introduced.
Session 2Where AI-supported threat hunting touches systems nobody wants to change
- Define the exit route from the supplier supporting AI-supported threat hunting.
- Build the internal briefing that explains AI-supported threat hunting to those affected.
- Identify where judgement in AI-supported threat hunting is legitimate and where it is not.
- Set escalation thresholds for AI-supported threat hunting that work out of hours.
AI-supported threat hunting: governance, ethics and explainability
2 sessions · 8 pointsSession 1Sizing AI-supported threat hunting honestly before committing budget
- Identify single points of dependency in AI-supported threat hunting and reduce them.
- Test AI-supported threat hunting against edge cases drawn from real historical records.
- Plan how AI-supported threat hunting is versioned and how a bad release is rolled back.
- Measure the current quality of the data feeding AI-supported threat hunting before assuming it is usable.
Session 2Who answers for AI-supported threat hunting, and to whom
- Record the rationale for each significant choice made about AI-supported threat hunting.
- Confirm that those complying with AI-supported threat hunting understand why it exists.
- Establish who is informed, consulted and accountable in AI-supported threat hunting.
- Rank the weaknesses in AI-supported threat hunting by consequence rather than by ease of fixing.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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