An intensive professional development training course on
Deepfake Threat Intelligence and Incident Response
Detecting, Analyzing, and Responding to AI-Driven Synthetic Media Threats
Why Choose Deepfake Threat Intelligence and Incident Response Training Course?
The rapid advancement of artificial intelligence and deep learning has led to the emergence of deepfakes and synthetic media as a serious cybersecurity, reputational, and national security threat. Deepfakes are no longer limited to experimental videos; they are now actively used in fraud, social engineering, misinformation campaigns, executive impersonation, identity theft, and psychological operations.
Organizations, governments, and security teams must move beyond awareness and develop structured threat intelligence and incident response capabilities to effectively detect, assess, and mitigate deepfake-enabled attacks. Traditional cybersecurity controls alone are no longer sufficient, as deepfakes exploit human trust, digital identity, and media authenticity.
This course provides a comprehensive and practical framework for understanding deepfake threats, building threat intelligence capabilities, detecting synthetic media, and executing effective incident response strategies. Participants will learn how deepfakes are created, how they are weaponized by attackers, how to recognize early warning signals, and how to respond decisively to minimize operational, financial, and reputational damage.
What are the Goals?
By the end if this training course, participants will be able to:
- Understand the deep learning technologies behind deepfakes and synthetic media
- Identify deepfake-enabled attack vectors and threat actor tactics
- Establish deepfake-focused threat intelligence processes
- Detect and analyze manipulated audio, video, and image content
- Assess organizational risk related to deepfake threats
- Execute structured incident response for deepfake-related incidents
- Manage crisis communication and reputational impact
- Integrate deepfake threats into cyber risk, GRC, and security strategies
Who is this Training Course for?
This training course is suitable to a wide range of professionals but will greatly benefit:
- Cybersecurity and information security professionals
- Threat intelligence and SOC analysts
- Incident response and digital forensics teams
- Risk management and GRC professionals
- IT security managers and CISOs
- Law enforcement and public sector security teams
- Media, communications, and crisis management professionals
- Legal and compliance officers
How will this Training Course be Presented?
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
The Course Content
- Introduction to deepfakes and synthetic media
- Evolution of deepfake technology and AI-driven manipulation
- Types of deepfakes: video, audio, image, and text-based impersonation
- Deepfake attack scenarios and real-world incidents
- Threat actors and motivations
- Deepfake threats in fraud, cybercrime, and misinformation
- Business, reputational, and national security impacts
- Risk exposure across sectors (finance, government, media, energy)
- Deep learning models behind deepfakes
- GANs, diffusion models, and neural voice cloning
- Common tools and platforms used to generate deepfakes
- Understanding artifacts and manipulation indicators
- Manual vs. automated detection approaches
- Audio, video, and image analysis techniques
- Limitations of detection technologies
- Human factors and social engineering aspects
- Introduction to threat intelligence frameworks
- Deepfake threat intelligence lifecycle
- Collection sources: open-source, social media, dark web
- Indicators of deepfake activity and campaigns
- Attribution challenges in synthetic media attacks
- Threat actor profiling and intent analysis
- Integrating deepfake intelligence into SOC operations
- Intelligence sharing and collaboration models
- Deepfake incidents as cybersecurity and reputational crises
- Incident classification and severity assessment
- Incident response playbooks for deepfake scenarios
- Containment, mitigation, and evidence preservation
- Digital forensics for synthetic media incidents
- Coordination between IT, legal, HR, and communications
- Regulatory and legal considerations
- Lessons learned and post-incident review
- Developing organizational deepfake response policies
- Crisis communication and media response strategies
- Training employees to recognize deepfake threats
- Integrating deepfake risks into enterprise risk management
- AI governance and ethical considerations
- Regulatory trends and compliance implications
- Future trends in deepfake technology and detection
- Building organizational resilience against synthetic media threats
Certificate and Accreditation
- AZTech Certificate of Completion for delegates who attend and complete the training course
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