Christian Nennemann
7a1aa346b9
- Fixed W3C fetcher to paginate /specifications endpoint (group endpoints use type prefixes like cg/, wg/ that weren't in config) - Fetched 72 new IETF drafts + 1 W3C spec, all analyzed and embedded - Regenerated dashboard with updated data - Total: 434 docs, 11 gaps, 1907 ideas Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
314 lines
16 KiB
JSON
314 lines
16 KiB
JSON
{
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"current": [
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{
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"id": 37,
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"topic": "Multi-Agent Consensus Protocols",
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"description": "While A2A protocols exist, there's no standardized approach for multiple AI agents to reach consensus on shared decisions or conflicting objectives. This becomes critical when agents must coordinate on resource allocation or policy enforcement across domains.",
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"category": "A2A protocols",
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"evidence": "High overlap in A2A protocols suggests fragmented approaches without consensus mechanisms, critical for autonomous system coordination",
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"severity": "high"
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},
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{
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"id": 38,
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"topic": "Agent Behavioral Verification",
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"description": "No drafts address how to verify that deployed AI agents are actually behaving according to their declared policies or specifications. This creates a gap between policy definition and runtime assurance.",
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"category": "AI safety/alignment",
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"evidence": "Only 47 drafts on AI safety despite 433 total drafts, and behavioral verification is fundamental to autonomous system trust",
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"severity": "critical"
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},
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{
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"id": 39,
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"topic": "Cross-Protocol Agent Migration",
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"description": "Agents need to migrate between different network protocols, domains, or infrastructure providers while maintaining state and identity. Current drafts focus on registration but not migration continuity.",
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"category": "Agent discovery/reg",
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"evidence": "Agent registration servers exist but no migration protocols, essential for dynamic edge deployments mentioned in technical ideas",
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"severity": "medium"
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},
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{
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"id": 40,
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"topic": "Real-Time Agent Rollback Mechanisms",
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"description": "When autonomous agents make incorrect decisions, there's no standardized protocol for quickly rolling back their actions across distributed systems. This is critical for network operations and safety.",
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"category": "Autonomous netops",
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"evidence": "114 autonomous netops drafts but no rollback mechanisms, critical for production network safety",
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"severity": "high"
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},
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{
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"id": 41,
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"topic": "Agent Resource Accounting and Billing",
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"description": "Multi-tenant environments need standardized ways to track and bill for AI agent resource consumption across compute, network, and storage. Current drafts define resources but not accounting mechanisms.",
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"category": "new",
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"evidence": "Edge AI placement and resource types defined but no economic models for multi-tenant agent deployments",
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"severity": "medium"
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},
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{
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"id": 42,
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"topic": "Federated Agent Learning Privacy",
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"description": "While federated architectures exist, there's insufficient specification for privacy-preserving agent learning that prevents data leakage between federated participants during model updates.",
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"category": "Policy/governance",
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"evidence": "Federated AI architectures mentioned but private data training requirements suggest unresolved privacy challenges",
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"severity": "high"
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},
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{
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"id": 43,
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"topic": "Agent Capability Negotiation",
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"description": "Agents need standardized protocols to negotiate their capabilities and limitations before collaboration. Tool enumeration exists but not dynamic capability negotiation during runtime.",
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"category": "A2A protocols",
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"evidence": "Tool enumeration APIs exist but no dynamic capability negotiation, needed for heterogeneous agent coordination",
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"severity": "medium"
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},
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{
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"id": 44,
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"topic": "Cross-Domain Agent Audit Trails",
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"description": "When agents operate across multiple domains or organizations, there's no standardized format for maintaining audit trails that satisfy different regulatory requirements simultaneously.",
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"category": "Agent identity/auth",
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"evidence": "Cross-domain identity management exists but audit requirements vary by jurisdiction, creating compliance gaps",
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"severity": "high"
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},
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{
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"id": 45,
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"topic": "Agent Failure Cascade Prevention",
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"description": "No protocols exist to prevent agent failures from cascading across interconnected autonomous systems. This is critical as agent interdependencies increase in production deployments.",
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"category": "AI safety/alignment",
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"evidence": "Limited AI safety focus (47 drafts) despite high interconnectivity implied by A2A protocols and autonomous netops",
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"severity": "critical"
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},
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{
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"id": 46,
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"topic": "Human Override Standardization",
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"description": "While human-agent interaction exists, there's no standardized protocol for human operators to override autonomous agent decisions across different vendor implementations and domains.",
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"category": "Human-agent interaction",
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"evidence": "Only 33 human-agent interaction drafts suggest limited focus on human control mechanisms essential for safe deployment",
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"severity": "high"
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},
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{
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"id": 47,
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"topic": "Agent Performance Benchmarking",
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"description": "No standardized metrics or protocols exist for comparing agent performance across different implementations, making it difficult to evaluate and select appropriate agents for specific tasks.",
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"category": "new",
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"evidence": "AI workload characterization mentioned but no performance comparison frameworks, needed for agent selection and optimization",
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"severity": "medium"
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}
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],
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"history": [
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{
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"id": 2,
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"snapshot_id": 1,
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"gap_topic": "Agent Behavioral Verification",
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"gap_description": "No drafts address how to verify that deployed AI agents are actually behaving according to their declared policies or specifications. This creates a gap between policy definition and runtime assurance.",
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"severity": "critical",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 7,
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"snapshot_id": 1,
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"gap_topic": "Agent Capability Negotiation",
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"gap_description": "Agents need standardized protocols to negotiate their capabilities and limitations before collaboration. Tool enumeration exists but not dynamic capability negotiation during runtime.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 9,
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"snapshot_id": 1,
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"gap_topic": "Agent Failure Cascade Prevention",
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"gap_description": "No protocols exist to prevent agent failures from cascading across interconnected autonomous systems. This is critical as agent interdependencies increase in production deployments.",
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"severity": "critical",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 11,
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"snapshot_id": 1,
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"gap_topic": "Agent Performance Benchmarking",
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"gap_description": "No standardized metrics or protocols exist for comparing agent performance across different implementations, making it difficult to evaluate and select appropriate agents for specific tasks.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 5,
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"snapshot_id": 1,
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"gap_topic": "Agent Resource Accounting and Billing",
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"gap_description": "Multi-tenant environments need standardized ways to track and bill for AI agent resource consumption across compute, network, and storage. Current drafts define resources but not accounting mechanisms.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 8,
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"snapshot_id": 1,
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"gap_topic": "Cross-Domain Agent Audit Trails",
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"gap_description": "When agents operate across multiple domains or organizations, there's no standardized format for maintaining audit trails that satisfy different regulatory requirements simultaneously.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 3,
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"snapshot_id": 1,
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"gap_topic": "Cross-Protocol Agent Migration",
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"gap_description": "Agents need to migrate between different network protocols, domains, or infrastructure providers while maintaining state and identity. Current drafts focus on registration but not migration continuity.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 6,
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"snapshot_id": 1,
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"gap_topic": "Federated Agent Learning Privacy",
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"gap_description": "While federated architectures exist, there's insufficient specification for privacy-preserving agent learning that prevents data leakage between federated participants during model updates.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 10,
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"snapshot_id": 1,
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"gap_topic": "Human Override Standardization",
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"gap_description": "While human-agent interaction exists, there's no standardized protocol for human operators to override autonomous agent decisions across different vendor implementations and domains.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 1,
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"snapshot_id": 1,
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"gap_topic": "Multi-Agent Consensus Protocols",
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"gap_description": "While A2A protocols exist, there's no standardized approach for multiple AI agents to reach consensus on shared decisions or conflicting objectives. This becomes critical when agents must coordinate on resource allocation or policy enforcement across domains.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 4,
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"snapshot_id": 1,
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"gap_topic": "Real-Time Agent Rollback Mechanisms",
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"gap_description": "When autonomous agents make incorrect decisions, there's no standardized protocol for quickly rolling back their actions across distributed systems. This is critical for network operations and safety.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:06:32.803029+00:00",
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"snapshot_at": "2026-03-03T23:59:47.420517+00:00"
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},
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{
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"id": 13,
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"snapshot_id": 2,
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"gap_topic": "Agent Behavioral Verification",
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"gap_description": "No drafts address how to verify that deployed AI agents are actually behaving according to their declared policies or specifications. This creates a gap between policy definition and runtime assurance.",
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"severity": "critical",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 18,
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"snapshot_id": 2,
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"gap_topic": "Agent Capability Negotiation",
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"gap_description": "Agents need standardized protocols to negotiate their capabilities and limitations before collaboration. Tool enumeration exists but not dynamic capability negotiation during runtime.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 20,
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"snapshot_id": 2,
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"gap_topic": "Agent Failure Cascade Prevention",
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"gap_description": "No protocols exist to prevent agent failures from cascading across interconnected autonomous systems. This is critical as agent interdependencies increase in production deployments.",
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"severity": "critical",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 22,
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"snapshot_id": 2,
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"gap_topic": "Agent Performance Benchmarking",
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"gap_description": "No standardized metrics or protocols exist for comparing agent performance across different implementations, making it difficult to evaluate and select appropriate agents for specific tasks.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 16,
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"snapshot_id": 2,
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"gap_topic": "Agent Resource Accounting and Billing",
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"gap_description": "Multi-tenant environments need standardized ways to track and bill for AI agent resource consumption across compute, network, and storage. Current drafts define resources but not accounting mechanisms.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 19,
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"snapshot_id": 2,
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"gap_topic": "Cross-Domain Agent Audit Trails",
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"gap_description": "When agents operate across multiple domains or organizations, there's no standardized format for maintaining audit trails that satisfy different regulatory requirements simultaneously.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 14,
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"snapshot_id": 2,
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"gap_topic": "Cross-Protocol Agent Migration",
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"gap_description": "Agents need to migrate between different network protocols, domains, or infrastructure providers while maintaining state and identity. Current drafts focus on registration but not migration continuity.",
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"severity": "medium",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 17,
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"snapshot_id": 2,
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"gap_topic": "Federated Agent Learning Privacy",
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"gap_description": "While federated architectures exist, there's insufficient specification for privacy-preserving agent learning that prevents data leakage between federated participants during model updates.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 21,
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"snapshot_id": 2,
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"gap_topic": "Human Override Standardization",
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"gap_description": "While human-agent interaction exists, there's no standardized protocol for human operators to override autonomous agent decisions across different vendor implementations and domains.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 12,
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"snapshot_id": 2,
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"gap_topic": "Multi-Agent Consensus Protocols",
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"gap_description": "While A2A protocols exist, there's no standardized approach for multiple AI agents to reach consensus on shared decisions or conflicting objectives. This becomes critical when agents must coordinate on resource allocation or policy enforcement across domains.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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},
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{
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"id": 15,
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"snapshot_id": 2,
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"gap_topic": "Real-Time Agent Rollback Mechanisms",
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"gap_description": "When autonomous agents make incorrect decisions, there's no standardized protocol for quickly rolling back their actions across distributed systems. This is critical for network operations and safety.",
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"severity": "high",
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"status": "open",
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"recorded_at": "2026-03-04T00:09:12.383015+00:00",
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"snapshot_at": "2026-03-04T00:09:01.501362+00:00"
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}
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]
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} |