Granite Guardian: Safeguarding Large Language Models Against Risks
summary
Claims an open-source governance stack that detects and mitigates LLM risks at prompt and response time and offers data hygiene recipes. Cites that BYOA sources are ~35% and BYO-AI lines 22%, vendors plan 80% embedding by 2026, while >80% of projects fail; business expect 92% investing and 87% ROI though realized return is ~3.5% per dollar. Provides Granite Guardian for prompt/response safeguards, Data Prep Kit for data transforms, and an AI Risk Atlas for lifecycle mapping.
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chapters (10)
- 0:00Introduction to safeguarding large language models
- 1:47AI everywhere in orgs
- 7:03AI expectations vs failures
- 10:17AI risk categorization
- 14:58Data and model risks
- 18:30IBM’s risk tools
- 23:11Granite Guardian features
- 25:20AI governance future
- 28:10Trust with Trisen
- 30:23Secure AI resources
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