AI Governance Landscape Brief

# Landscape Intelligence Brief ## Executive Summary Capability matrix: # Landscape Intelligence Brief ## Executive Summary Scan results: [{"category":"Verification tooling maturity AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"NIST AI Risk Management Framework","url":"https://www.nist.gov/itl/ai-risk-management-framework","snippet":"NIST AI RMF frames governable controls, monitoring, and documented risk handling for deployed AI systems."}]},{"category":"Governance framework adoption AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"ISO/IEC 42001 AI management systems","url":"https://www.iso.org/standard/81230.html","snippet":"ISO/IEC 42001 defines management system requirements for trustworthy and auditable AI operations."}]},{"category":"Agent execution safety patterns AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"Model Context Protocol — Introduction","url":"https://modelcontextprotocol.io/introduction","snippet":"MCP standardizes how models discover tools, exchange context, and operate against external systems."},{"title":"OWASP Top 10 for LLM Applications","url":"https://genai.owasp.org/","snippet":"OWASP catalogs prompt injection, insecure tool use, and data leakage as core risks in LLM-based systems."}]}] ## Key Signals - Scan results: [{"category":"Verification tooling maturity AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"NIST AI Risk Management Framework","url":"https://www.nist.gov/itl/ai-risk-management-framework","snippet":"NIST AI RMF frames governable controls, monitoring, and documented risk handling for deployed AI systems."}]},{"category":"Governance framework adoption AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"ISO/IEC 42001 AI management systems","url":"https://www.iso.org/standard/81230.html","snippet":"ISO/IEC 42001 defines management system requirements for trustworthy and auditable AI operations."}]},{"category":"Agent execution safety patterns AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"Model Context Protocol — Introduction","url":"https://modelcontextprotocol.io/introduction","snippet":"MCP standardizes how models discover tools, exchange context, and operate against external systems."},{"title":"OWASP Top 10 for LLM Applications","url":"https://genai.owasp.org/","snippet":"OWASP catalogs prompt injection, insecure tool use, and data leakage as core risks in LLM-based systems."}]}] ## Operational Note This report was generated via deterministic fallback logic after an external completion dependency was unavailable. ## Key Signals - Capability matrix: # Landscape Intelligence Brief ## Executive Summary Scan results: [{"category":"Verification tooling maturity AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"NIST AI Risk Management Framework","url":"https://www.nist.gov/itl/ai-risk-management-framework","snippet":"NIST AI RMF frames governable controls, monitoring, and documented risk handling for deployed AI systems."}]},{"category":"Governance framework adoption AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"ISO/IEC 42001 AI management systems","url":"https://www.iso.org/standard/81230.html","snippet":"ISO/IEC 42001 defines management system requirements for trustworthy and auditable AI operations."}]},{"category":"Agent execution safety patterns AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"Model Context Protocol — Introduction","url":"https://modelcontextprotocol.io/introduction","snippet":"MCP standardizes how models discover tools, exchange context, and operate against external systems."},{"title":"OWASP Top 10 for LLM Applications","url":"https://genai.owasp.org/","snippet":"OWASP catalogs prompt injection, insecure tool use, and data leakage as core risks in LLM-based systems."}]}] ## Key Signals - Scan results: [{"category":"Verification tooling maturity AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"NIST AI Risk Management Framework","url":"https://www.nist.gov/itl/ai-risk-management-framework","snippet":"NIST AI RMF frames governable controls, monitoring, and documented risk handling for deployed AI systems."}]},{"category":"Governance framework adoption AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"ISO/IEC 42001 AI management systems","url":"https://www.iso.org/standard/81230.html","snippet":"ISO/IEC 42001 defines management system requirements for trustworthy and auditable AI operations."}]},{"category":"Agent execution safety patterns AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"Model Context Protocol — Introduction","url":"https://modelcontextprotocol.io/introduction","snippet":"MCP standardizes how models discover tools, exchange context, and operate against external systems."},{"title":"OWASP Top 10 for LLM Applications","url":"https://genai.owasp.org/","snippet":"OWASP catalogs prompt injection, insecure tool use, and data leakage as core risks in LLM-based systems."}]}] ## Operational Note This report was generated via deterministic fallback logic after an external completion dependency was unavailable. - The output is still grounded in the run inputs and evidence chain. - ## HELM Relevance The signals above inform governed execution, proof-bearing automation, and organizational runtime design for HELM and Mindburn Research Lab. - Original scan: [{"category":"Verification tooling maturity AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"NIST AI Risk Management Framework","url":"https://www.nist.gov/itl/ai-risk-management-framework","snippet":"NIST AI RMF frames governable controls, monitoring, and documented risk handling for deployed AI systems."}]},{"category":"Governance framework adoption AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"ISO/IEC 42001 AI management systems","url":"https://www.iso.org/standard/81230.html","snippet":"ISO/IEC 42001 defines management system requirements for trustworthy and auditable AI operations."}]},{"category":"Agent execution safety patterns AI industry 2026 landscape tools frameworks","findings":[{"title":"LangGraph Overview","url":"https://langchain-ai.github.io/langgraph/","snippet":"LangGraph shows the move from single prompts to durable, stateful, operator-governed agent runtimes."},{"title":"Model Context Protocol — Introduction","url":"https://modelcontextprotocol.io/introduction","snippet":"MCP standardizes how models discover tools, exchange context, and operate against external systems."},{"title":"OWASP Top 10 for LLM Applications","url":"https://genai.owasp.org/","snippet":"OWASP catalogs prompt injection, insecure tool use, and data leakage as core risks in LLM-based systems."}]}] ## Operational Note This report was generated via deterministic fallback logic after an external completion dependency was unavailable. The output is still grounded in the run inputs and evidence chain. ## HELM Relevance The signals above inform governed execution, proof-bearing automation, and organizational runtime design for HELM and Mindburn Research Lab.