Training Content Sample/Overview

AI FUNDAMENTALS

• Gain a deeper understanding of Generative AI and Large Language Models (LLMs) and their implications for enterprise risk and security

Risks & Opportunities Discussions

• Risk Intelligence functional maturity, state of the industry, and the AI potential

• The AI Risk Intelligence Paradox and how to avoid it

• Augmented risk forecasting

• The state of LLM reasoning

• Autonomous OSINT researchers

• Factuality, interpretability, bias, hallucinations

• Overcoming geopolitical and travel risk intelligence fallacies

• Trust & safety challenges: consumer vs analyst-facing rules

augmented Applications deep dives

• Collection & Processing

• Analysis & Production

• Dissemination

  
  

• Scenario Planning

• Crisis Management

• Issue Monitoring & Reporting

• Autonomous POI/GOI monitoring & analysis

• Travel Risk Intelligence

• Protective Intelligence

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change management

• New competencies: requirements and evaluation design

• Up-skilling, Re-skilling, Hiring

• In-house vs. 3rd-party application development

• Managing Enterprise IT & Legal Constraints/Limitations

• Functional Playgrounds

In-context Technology Highlights & updates

• Prompt Design/Engineering

• RAG vs/+ Fine-Tuning

• Preference Models and Constitutional AI

• RLHF vs RLAIF

• Knowledge Graphs and Semantic Search

• Function Calling and Multi-Modal Agents

• Agentic coding and structured output/generation

• Robotic Process Automation (RPA), and Human-in-the-Loop

• Emerging Guardrails

AI-Augmented ERI programs will deliver greater VOI and ROI at a fraction of current costs. Yet, we anticipate considerable resistance to adoption in/by legacy programs.

Key Questions/Concerns addressed in our training:

• Many industry pundits are focusing on the risks or being deeply skeptical of AI. Are these concerns grounded or the result of motivated thinking?

• Will analysts’ productivity be measured differently?

• How will programs’ costs be affected?

• What does the next-generation in-house ERI program/function look like?

• Which legacy products/vendors are more likely to survive, thrive, or fail?

• What competencies/skills do ERI professionals need to remain relevant?

• How do we assess, recruit, and develop relevant competencies?

• Which new products/solutions can we expect to emerge in the ERI market?

• How will AI impact Structured Analytic Techniques (SAT)?

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Who Is It For & Why

This program equips corporate risk intelligence analysts and functional leaders with actionable insights and strategies to navigate and steer AI-augmented risk intelligence efforts. It is designed for a cohort of experienced professionals, including enterprise, protective, and travel risk intelligence analysts and leaders. You will learn alongside peers, fostering a collaborative environment for exchanging insights and building lasting connections within the industry.

As a risk-centric leader, you need more than just a surface-level understanding of AI; you need actionable insights. This course goes beyond the basics, equipping you with the specialized knowledge and practical frameworks to evaluate AI's impact on your mission, objectives, and practices.

Related initiatives:
AI-Augmented
Travel Risk Intelligence and Management

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