Course Description
The rapid advancement of artificial intelligence and deep learning has elevated deepfakes and synthetic media into a critical cybersecurity, reputational, and national security risk. No longer confined to experimental use, deepfakes are now actively deployed in fraud, executive impersonation, social engineering, misinformation campaigns, identity abuse, and coordinated influence operations that exploit trust in digital content and human judgment.
This Deepfake threat detection training course equips organisations and public-sector entities with the knowledge and capability required to move beyond basic awareness and build effective detection, intelligence, and response readiness. Participants gain a structured understanding of how deepfakes are created and weaponised, how risks can be identified early, and how organisations can respond decisively to contain impact, protect credibility, and strengthen long-term resilience.
This Deepfake threat detection training course will highlight:
The evolving deepfake threat landscape and its impact on cybersecurity, reputation, and national security
How attackers use synthetic media in fraud, impersonation, and misinformation campaigns
Practical methods for detecting manipulated audio, video, and image content
Threat intelligence and incident response approaches specific to deepfake-enabled attacks
Governance, risk, and preparedness strategies to defend against future synthetic media threats
What you will achieve
By the end of this Deepfake threat detection training course, participants will be able to:
- Understand the artificial intelligence and deep learning techniques used to generate deepfakes and synthetic media
- Recognise how threat actors exploit deepfakes across fraud, misinformation, and impersonation scenarios
- Develop threat intelligence processes focused on deepfake-enabled risks
- Detect and assess manipulated audio, video, and image content
- Evaluate organisational exposure to deepfake-related threats
- Apply structured incident response approaches to deepfake incidents
- Manage reputational and communication challenges arising from synthetic media attacks
- Integrate deepfake risks into cybersecurity, GRC, and enterprise risk frameworks
How the course is delivered
This Deepfake threat detection training course adopts a structured, participant-focused learning approach designed to strengthen understanding, practical judgment, and real-world application. Emphasis is placed on critical thinking, scenario-based analysis, and collaborative problem solving to ensure participants can confidently identify deepfake threats, assess impact, and respond effectively within their organisational context.
Designed for
This Deepfake threat detection training course is suitable for professionals involved in protecting organisations from emerging digital threats, including:
- Cybersecurity and information security professionals
- Threat intelligence specialists and SOC analysts
- Incident response and digital forensics teams
- Risk management and GRC professionals
- IT security managers and Chief Information Security Officers
- Law enforcement and public sector security personnel
- Media, communications, and crisis response professionals
- Legal, compliance, and regulatory officers
Daily programme
- 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
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
