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SecFusionAgent

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Agent-driven AI security intelligence fusion and assessment. The current product combines continuous evidence collection, intelligence reading, event timelines, a subject-filtered material library, private questions/investigations and explicitly published HTML briefings.

Current state — 2026-10-16

The latest implementation is on the code repository's default main branch. M1–M3, M4–M6, Task Runtime, the evaluation substrate and the four-space Product Web are implemented. Current code checks passed on baseline 6654199; retained model benchmarks have their own deployment/sample dates and are not current runtime measurements.

Local Compose pauses unattended document-model stages, automatic editorial and new WATCH wakeups. Collection, evidence, lexical indexing, deterministic enrichment and user-requested QA/investigation remain available. Report reads use deterministic HTML rendering and do not call a model. No daily monetary cap is imposed.

Start with the current acceptance register: it closes implemented TODOs and retains explicit requirements for historical-world replay, real isolation, full A2A transport, M3 model-budget settlement, production recovery and broader live-quality denominators. The 09-27 implementation review and 10-08 finals review are historical checkpoints, not the current task list.

Product and implementation contracts

• Product experience and visual system.
• Information quality, summaries and public/private HTML reports.
• Accounts and personalization; knowledge networks.
• Code and module guides and engineering portal.

TD1 owns the data plane; TD2 owns investigation/execution; TD2A owns Product Application/API; TD3 owns measurement/evaluation. Requirements remain the authority for M1–M8 and C1–C3 acceptance. Module READMEs refine implementation, not cross-module ownership.

File Index

File	Content
Requirements-SPEC	Requirement baseline: decomposition rationale, module layering (M1–M8, C1–C3), evaluation criteria and mapping to the competition scoring criteria
01-Data-Sources-and-Processing	Data source processing baseline: source authority, persistence and indexing strategy, and the data source extension boundary of the four AI security risk categories
02-CTI-Baseline-Reuse-and-Ownership	Technical Design preparation: existing CTI workflow, rule reuse, LLM automation boundary and SecFusionAgent ownership
03-Normative-Knowledge-and-Policy	Technical standards and policies and regulations: normative knowledge, applicability, control mapping, runtime policy and official source monitoring
04-AI-Model-Data-and-Agent-Application-Security	Model, data and Agent application security: risk taxonomy, traceable literature and vendor cases, frontier security intelligence monitoring, preparatory design of the Agent security control plane
05-Incident-News-Intelligence	Incident / News Watch: breaking signal, primary/forensic source, event clustering, timeline, promotion and subsequent enrichment data sources
Technical Design 1	M1–M3 Data Plane, M3→M4 handoff, storage/runtime architecture and the Case/Trajectory/Experience seam
Technical Design 2	M4–M6 Task Routing, Query Construction, Perception, Investigation State, Agent Runtime, Execution Control Plane and Decision/QA
Topic 9 original text	Plain-text transcript of the competition topic PDF, with chapter numbering and scoring items following the original

| Technical Design 2A | Current Product Application/API contracts | | Technical Design 3 | Measurement/evaluation contracts | | Current acceptance | Implemented scope, retained evidence and open criteria |