AI Forensics & Incident Response
AI Forensics Analyst
Become the first specialist applying AI forensics and incident response in Türkiye.
AI forensics (content provenance, deepfake detection, model exfiltration investigation) doesn't exist in Türkiye. Covers AI incident taxonomy, detection, prompt injection forensics, model exfiltration investigation, deepfake detection & proof, chain of custody (AI evidence), expert witness processes and AI threat intel.
Quick Facts
Why This Program for Your Company
Talent Development
Grow your in-house teams; reduce vendor and outsourcing dependency
Fast Time-to-Value
Built for a 90-day pilot-to-production trajectory
Measurable ROI
Before/after capability report + KPI dashboard with tangible outcomes
AI Culture
AI adoption across all levels — from executive to engineer
Delivery Models
Choose the delivery format that fits your team
On-site
At your company location, closed group
Hybrid
Online + periodic in-person intensives
Fully Remote
Live remote + recordings + lab notebooks
Train-the-Trainer
Build in-house trainers — long-term scaling
Tailored to Your Company
Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.
Lab Environment
Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset
Post-Training Support
30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support
Why Now? — Türkiye's Empty Market
No AI forensics specialists in Türkiye. AI evidence in legal proceedings is rising; critical gap at law-security intersection.
About the Program
Target Teams
- DFIR specialists transitioning to AI
- Forensic informatics experts
- Incident response teams
- AI product incident response leads
Your Team's Outcomes
- Detect and triage AI incidents
- Conduct prompt injection forensics
- Investigate model exfiltration
- Prepare deepfake detection and proof reports
- Manage AI evidence with chain of custody
Prerequisites
- Cybersecurity DFIR fundamentals
- Intermediate Python
Trainings in this Program
11 modules / micro-trainings
- 01
AI Incident Taxonomy
- 02
Detection (Logging, Alerting)
- 03
Prompt Injection Forensics
- 04
Model Exfiltration Investigation
- 05
Deepfake Detection & Proof
- 06
AI-Generated Content Detection
- 07
Chain of Custody (AI Evidence)
- 08
Forensic Reporting
- 09
Expert Witness Processes
- 10
Threat Intel for AI
- 11
Capstone: AI Incident Investigation Report
Capstone Project
Full investigation report for a simulated AI incident (prompt injection breach + model exfiltration): timeline, evidence chain, root cause, impacted data scope and remediation recommendations.
How We Work
From discovery to delivery and post-training follow-up
- 1
Discovery
Free 30min — team capability map, use case discovery, goal setting
- 2
Design
Custom curriculum, lab scenarios and delivery timeline for your use cases
- 3
Delivery
Live training + hands-on labs + capstone project + completion certificate
- 4
Follow-up
Capability report + 30-day support + optional monthly check-in sessions
Career Path
Positions you can target after this program
Tech Stack & Topics
Frequently Asked Questions
How do enrollment and participant selection work?
How is pricing structured?
Can the curriculum be customized for our use cases?
On-site or remote?
Is post-training support included?
Are certificates provided?
Who is this program for?
What will I learn?
What is the duration and format?
What are the prerequisites?
Which positions does this program prepare me for?
Why is this program needed in Türkiye?
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Bring This Program to Your Team
In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.