Length: 1 Day

Master of Cognitive & AI Counterintelligence (MCAICI) Certification Program by Tonex

Master of Cognitive & AI Counterintelligence (MCAICI)

The MCAICI program equips professionals to anticipate, detect, and neutralize AI-enabled influence and deception across digital ecosystems. Participants learn how cognitive biases are targeted by adversarial models and how to engineer countermeasures that restore trust, resilience, and decision advantage. The curriculum emphasizes measurable, field-ready practices for monitoring narrative drift, authenticating media, and hardening organizational processes.

Cybersecurity impact is front and center as AI expands the attack surface and accelerates social-engineering payloads. Participants explore how cybersecurity teams can fuse threat intel with cognitive analytics to blunt misinformation, protect identities, and safeguard high-value operations. By graduation, learners can design governance guardrails, deploy red-teaming frameworks, and brief leaders with clarity and evidence.

Learning Objectives

  • Identify AI-driven influence patterns and deception tradecraft in open and closed networks
  • Map cognitive biases to adversarial tactics and design targeted countermeasures
  • Build detection pipelines using provenance, anomaly, and behavior signals
  • Integrate counterintelligence workflows with risk, legal, and communications functions
  • Evaluate model and data risks to inform governance and escalation paths
  • Strengthen cybersecurity posture by aligning controls to deception kill chains and AI misuse
  • Develop concise executive reports and response playbooks

Who Should Attend

  • Cybersecurity Professionals
  • Intelligence and Counterintelligence Analysts
  • Risk, Compliance, and Governance Leaders
  • Security Operations and Threat Intelligence Teams
  • Public Affairs and Crisis Communications Managers
  • Data Scientists and AI Product Owners

Course Modules

Module 1: Cognitive Threats

  • Bias exploitation fundamentals
  • Narrative weaponization pathways
  • Psychological contagion vectors
  • Trust erosion indicators
  • Decision fatigue triggers
  • Defensive framing tactics

Module 2: AI Deception Stack

  • Generative influence patterns
  • Prompt and tooling misuse
  • Synthetic identity lifecycles
  • Content provenance signals
  • Coordinated inauthentic behavior
  • Platform abuse typologies

Module 3: Detection Engineering

  • Signal and feature design
  • Multimodal anomaly profiling
  • Source grading and triage
  • Watermark and metadata checks
  • Network graph interrogation
  • Alert validation workflows

Module 4: Response Playbooks

  • Incident classification matrix
  • Containment and takedown paths
  • Counter-messaging strategies
  • Stakeholder communication briefs
  • Legal and policy alignment
  • Post-incident learning loops

Module 5: Governance and Risk

  • Model risk taxonomy
  • Data lineage and custody
  • Policy and control mapping
  • Third-party assurance steps
  • Ethics and oversight boards
  • Metrics and audit artifacts

Module 6: Strategic Integration

  • Fusion with threat intel
  • SOC and PSIRT handoffs
  • Executive decision support
  • Training and change enablement
  • Business continuity links
  • Continuous improvement cadence

Exam Domains

  • Cognitive Bias and Influence Theory
  • AI Threat Models and Capabilities
  • Detection and Attribution Techniques
  • Operational Response and Coordination
  • Governance, Risk, and Compliance
  • Leadership Communication and Reporting

Course Delivery
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of Master of Cognitive & AI Counterintelligence (MCAICI). Participants will have access to online resources, including readings, case studies, and tools for practical exercises.

Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Master of Cognitive & AI Counterintelligence (MCAICI).

Question Types

  • Multiple Choice Questions (MCQs)
  • Scenario-based Questions

Passing Criteria
To pass the Master of Cognitive & AI Counterintelligence (MCAICI) Certification Training exam, candidates must achieve a score of 70% or higher.

Secure decision advantage against AI-powered deception. Enroll in the MCAICI Certification Program by Tonex today and equip your team to detect, disrupt, and deter influence threats with confidence.

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