Certified AI Defense Against Generative AI Threats (CA-DGAT) Certification Program by Tonex
Certified AI Defense Against Generative AI Threats (CA-DGAT) Certification Program by Tonex prepares professionals to defend organizations against attacks enabled by Generative AI, Large Language Models, synthetic media, and automated deception techniques. The program focuses on the modern threat landscape where attackers use AI to create convincing phishing messages, deepfake audio and video, synthetic identities, malicious code support, fraud campaigns, and scalable social engineering operations.
Participants learn how GenAI threats appear across enterprise email, collaboration platforms, identity systems, endpoint environments, fraud workflows, and executive protection programs. The course emphasizes practical defense planning, detection strategy, investigation workflows, governance, and response coordination.
Cybersecurity teams face growing pressure as AI-generated attacks become faster, cheaper, and harder to recognize. This program strengthens cybersecurity readiness by helping organizations detect synthetic content, reduce social engineering exposure, improve malware defense practices, and build repeatable GenAI threat detection programs aligned with enterprise risk priorities.
Learning Objectives
- Identify AI-generated phishing and business email compromise indicators
- Detect deepfakes, synthetic media, and manipulated digital evidence
- Analyze LLM-assisted social engineering and fraud campaigns
- Counter AI-enhanced malware development and delivery techniques
- Build GenAI threat detection and response programs
- Apply defensive controls for synthetic identity and impersonation risks
- Improve cybersecurity resilience against AI-powered deception and attack automation
Audience
- Cybersecurity Professionals
- Security Teams
- Fraud Investigators
- Enterprise Risk Managers
- Cyber Defense Analysts
- SOC Analysts
- Threat Intelligence Professionals
- Incident Response Teams
- Digital Forensics Professionals
- Compliance and Governance Teams
Program Modules
Module 1: Generative AI Threat Landscape Foundations
- Evolution of GenAI-enabled cyber threats
- LLM abuse in attacker workflows
- Synthetic content as a threat vector
- AI-assisted reconnaissance and targeting
- Enterprise exposure to GenAI risks
- Threat actor adoption patterns
- Defensive priorities for security teams
Module 2: AI Phishing and Impersonation Defense
- AI-generated phishing message indicators
- Business email compromise escalation paths
- Executive impersonation warning signs
- Voice cloning attack recognition
- Credential theft campaign analysis
- Email defense tuning considerations
- User reporting and triage workflows
Module 3: Deepfake and Synthetic Media Detection
- Deepfake audio detection concepts
- Synthetic video manipulation indicators
- Metadata and provenance review
- Visual inconsistency analysis methods
- Media verification workflow design
- Executive fraud protection measures
- Evidence handling for synthetic media
Module 4: LLM Assisted Attack Countermeasures
- Prompt-enabled attacker tradecraft
- Automated social engineering patterns
- AI-assisted vulnerability research risks
- Malicious content generation detection
- Defensive monitoring for misuse
- Policy controls for LLM access
- Investigation steps for AI abuse
Module 5: AI Malware and Identity Defense
- AI-supported malware development risks
- Obfuscation and evasion concerns
- Endpoint defense signal review
- Synthetic identity fraud indicators
- Account takeover risk patterns
- Identity verification control design
- Malware response coordination practices
Module 6: Defensive Governance and Detection Programs
- GenAI threat program structure
- Detection rule lifecycle planning
- Risk scoring and prioritization
- Cross-functional response ownership
- Security awareness content updates
- Governance metrics and reporting
- Continuous improvement for defenses
Exam Domains
- GenAI Threat Landscape
- Deepfake Detection
- AI-Powered Social Engineering
- AI Malware Defense
- Synthetic Identity Detection
- Defensive Countermeasures
Course Delivery
The course is delivered through expert-led lectures, interactive discussions, guided exercises, case studies, and project-based learning focused on Certified AI Defense Against Generative AI Threats. Participants receive access to supporting resources, readings, practical tools, and structured activities that help them understand GenAI-enabled attacks and develop effective defensive strategies for enterprise environments.
Assessment and Certification
Participants are assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course requirements, participants receive the Certified AI Defense Against Generative AI Threats (CA-DGAT) Certification Program by Tonex certificate.
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the Certified AI Defense Against Generative AI Threats (CA-DGAT) Certification Program by Tonex exam, candidates must achieve a score of 70% or higher.
Enroll in the Certified AI Defense Against Generative AI Threats (CA-DGAT) Certification Program by Tonex to strengthen your organization’s ability to detect, investigate, and defend against GenAI-powered threats.