PsyOps with LLMs: Weaponized Sentiment Fundamentals by Tonex
This course explores how large language models (LLMs) can be used in psychological operations (PsyOps) to manipulate sentiment and influence behavior. It examines the intersection of AI, sentiment engineering, and information warfare. Learners will understand the mechanics of sentiment manipulation and how adversaries weaponize LLMs for strategic advantage. The course highlights the cybersecurity implications of these tactics, including social engineering, misinformation, and psychological targeting. Participants will gain insight into threat detection and countermeasures.
Audience:
- Cybersecurity professionals
- Threat intelligence analysts
- Information warfare specialists
- AI and NLP practitioners
- Government and defense personnel
- Security researchers
Learning Objectives:
- Understand the role of LLMs in modern PsyOps
- Identify techniques for sentiment manipulation
- Explore threat vectors using AI-driven narratives
- Assess cybersecurity impacts of weaponized sentiment
- Learn detection and response strategies
Course Modules:
Module 1: Introduction to PsyOps and LLMs
- Overview of psychological operations
- Role of AI in modern influence campaigns
- Basics of large language models (LLMs)
- Sentiment manipulation through language generation
- Use of LLMs in disinformation strategies
- Evolution of PsyOps with digital tools
Module 2: Sentiment Engineering Techniques
- Emotional priming with generated text
- Polarity shifting in online content
- Use of bias and framing in language
- Subtle tone control and implication
- Behavioral nudging via sentiment cues
- Repetition and reinforcement of narratives
Module 3: Threat Vectors and Use Cases
- Social media sentiment attacks
- Election influence and public opinion shaping
- Targeted psychological profiling
- Insider manipulation and morale attacks
- False flag digital campaigns
- Community destabilization tactics
Module 4: Cybersecurity Implications
- AI-powered phishing and social engineering
- Automated misinformation detection challenges
- Threat to national and organizational stability
- Data poisoning and trust erosion
- Undermining threat intelligence accuracy
- Exploiting cognitive biases in users
Module 5: Detection and Countermeasures
- Sentiment anomaly detection tools
- AI behavior monitoring techniques
- Ethical NLP model evaluation
- Real-time content filtering strategies
- Threat intelligence integration
- Training human analysts for PsyOps detection
Module 6: Policy, Ethics, and Governance
- Legal implications of weaponized AI
- Guidelines for responsible LLM use
- Cross-border information warfare ethics
- Building resilient information environments
- AI governance and oversight
- International cooperation frameworks
Join Tonex to stay ahead of evolving threats. Learn how to defend against AI-driven sentiment warfare and protect digital trust in cybersecurity.