Page 18 - CyberSecurityEssentialsEnglish

• Table 3-7: Where did the retrieval system fail?
• Table 3-8: Characteristics of each medium and its risks
• Table 3-9: Comparing places to run a system

• Table 3-10: Acceptance tests by medium
• Table 3-11: What to look for in product documentation

• Table 3-12: Components of a local evaluation protocol
• Table 3-13: The right measure for each type of task
• Table 3-14: A matrix for testing Arabic locally

• Table 3-15: A weighted scorecard, a teaching example
• Table 3-16: A brief rubric for the lab outputs
• Table 3-17: Glossary of essential terms

Chapter Four: Using AI Safely Without Losing Control
• Table 4-1: The difference between a linguistically good output and a professionally good use
• Table 4-2: The 4D framework in one question per stage
• Table 4-3: A multi-dimensional risk check before use

• Table 4-4: A practical classification of the level of impact
• Table 4-5: The delegation and approval matrix

• Table 4-6: Levels of identity reduction are not one thing
• Table 4-7: The data lifecycle before entering an AI tool
• Table 4-8: Examples of classifying data before entry

• Table 4-9: Data minimization questions
• Table 4-10: Common security risks in AI applications
• Table 4-11: The claim and evidence table

• Table 4-12: SIFT questions when reviewing an AI output
• Table 4-13: Sources of bias and testing questions
• Table 4-14: Do not confuse detection, provenance, authentication, and verification

• Table 4-15: A protocol for verifying an urgent voice or video message
• Table 4-16: A short usage record
• Table 4-17: Examples of acceptable support and necessary escalation

• Table 4-18: The level of an incident and the first response
• Table 4-19: The checklist before use
• Table 4-20: Lab outputs and the criterion of success

• Table 4-21: Glossary of essential terms
Chapter Five: From Tasks to Workflows
• Table 5-1: The difference between a prompt and a workflow

• Table 5-2: Levels of organizing work
• Table 5-3: The workflow definition card
• Table 5-4: Choosing the right executor for each step

• Table 5-5: Levels of control over the shape of an output
• Table 5-6: When to use each workflow pattern

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