Deepfake
Synthetic media, typically video or audio, generated or altered by AI to depict a real person doing or saying something, convincingly enough to be mistaken for authentic footage. Legal treatment varies sharply by state and does not currently cover most federal candidate races.
Defined in 4 GAGE programs, which carry 6 distinct definitions of it. The wording above is taught in The AI Lobbyist: Certified AI Policy Strategist.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
Synthetic media, typically video or audio, generated or altered by AI to depict a real person doing or saying something, convincingly enough to be mistaken for authentic footage. Legal treatment varies sharply by state and does not currently cover most federal candidate races.
AI-generated synthetic media (video, audio, or images) that convincingly mimics a real person. Used in social engineering attacks where attackers impersonate executives or colleagues via video calls or voice messages, as in the 2024 Arup case.
Synthetic audio or video generated to convincingly impersonate a real person's appearance or voice, used in the Arup case (Section 4) to illustrate the human-scale version of T9's identity-spoofing mechanism.
AI-generated synthetic audio, image, or video that convincingly imitates a real person, used in social-engineering attacks such as the 2024 Arup video-call fraud.
Synthetic audio or video created by AI to realistically depict a person saying or doing something they did not. Under the EU AI Act, deepfakes must be disclosed as AI-generated from 2 August 2026.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Online Safety, Privacy, and Data Basics · Digital Foundations, Certified AI Practitioner: Workplace Foundations
- Multimodal AI: Text, Image, Audio, Video · AI Fundamentals, Certified AI Practitioner: Workplace Foundations
- AI-Specific Threat Detection · AI Security Fundamentals, Certified AI Practitioner: Workplace Foundations
- The OWASP Threat Map II · Technical Controls and Threat Modeling, Certified Agentic AI Governance Professional (CAAGP)
- Opposition Research Automation on the Public Record · Prompt Engineering for Strategic Persuasion, The AI Lobbyist: Certified AI Policy Strategist
- Security and Adversarial Threats · Risk, Resilience and Frontier AI, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Deepfake starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Understands prompt injection, data poisoning, model theft, insecure integrations and excessive agent privileges, and the controls that reduce each.
3 lessons on this page teach it as a primary outcome.
Recognizes AI-enabled fraud, from cloned voices and synthetic video to romance and investment scams, and knows the one move that breaks the script.
One lesson on this page teach it as a primary outcome.
Builds minimization, purpose limitation, de-identification, consent and retention into an AI system before launch, with tests that prove it.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Information Security Officer, AI security focusneeds it at depth
- Chief Technology Officer, AI engineering editionneeds it at depth
- AI Incident Response Leadneeds it at depth · 1 open posting this week
- AI Security Architectneeds it at depth · 8 open postings this week
- AI Governance Engineerneeds it at depth · 7 open postings this week
- AI Privacy Engineerneeds it at depth · 6 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: OWASP Top 10 for LLM Applications; Google SAIF; NIST AI RMF MEASURE 2; FTC guidance.
One interview question about it
What are the security failure modes specific to AI systems, and which conventional control covers none of them?
Asked of candidates for ai security fundamentals. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Cybersecurity and IT carries it as a claim to back up: Threat modeling and control design transfer; the AI-specific threats are new.
- A computer science or software engineering degree carries it as a claim to back up: Security fundamentals are a course you took, not yet a control you ran.
- A cybersecurity or information assurance degree carries it as work you can show: Security fundamentals are your coursework and your labs.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.