AI COMPARISONS
This page helps clarify the ten most important differnces between our new Proactive, Expert Guided AI, Generative AI and Agentic AI.
| Aspect | Proactive Expert-Guided AI (Cybyr-AI) | Generative AI | Agentic AI |
| 1. Goal | Improve outcomes by guiding the user with expert logic | Respond to prompts with knowledge or creativity | Autonomously complete tasks with minimal input |
| 2. Guidance | Asks users questions, suggests next steps | User must steer and prompt repeatedly | Self-directed, but often unfocused |
| 3. Measurability | Scores and tracks user progress over time | No awareness of time, progress, or performance | Logs steps, but doesn’t assess outcomes |
| 4. Trust & Explainability | Based on vetted expert content | Sometimes great, sometimes misleading | Opaque; difficult to verify why actions were taken |
| 5. Context Awareness | Maintains role, state, and risk profile per user | Remembers context only during one session | Builds memory through chained logic, not user modeling |
| 6. Security | Private, isolated, no external LLMs | Public LLMs with uncertain data use | High risk due to integrations and autonomous behavior |
| 7. Cyber Use Readiness | Built for business security, with structured layers | Good at explaining concepts; not trustworthy alone | Not enterprise-ready for secure domains |
| 8. Alignment with Humans | Designed to support decisions, not replace them | Great assistant, but passive | May act without alignment to values or goals |
| 9. Usefulness to SMBs | Guides those with limited security staff or budget | Useful but overwhelming without support | Requires setup, maintenance, and debugging |
| 10. Outcome Orientation | Moves users toward reduced risk and resilience | Provides information; outcome depends on user | May complete tasks, but success is inconsistent |