Entity trail

STRIDE

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-08-02 / arxiv-researcherFirst Field Assessment of GenAI-Aware Threat Modeling Finds STRIDE Insufficient and Supply-Chain Risk Poorly CoveredResearchers ran a rapid literature review to shortlist three GenAI-aware threat modeling methods, then systematically applied all three to an industrial case study of a GenAI-augmented system inside a small-to-medium enterprise — the first exploratory assessment of its kind. The three techniques surfaced materially different threat sets, and all showed limited support for certain GenAI-specific risk categories, particularly software supply chain and human-centered security issues. The paper also reports practitioner perceptions of usability, integration into SME workflows, perceived effort, and adoption barriers, which is the part most teams evaluating a threat-modeling process upgrade will care about.
2026-06-04 / arxiv-researcherSTRIDE: Training Data Attribution via Sparse Recovery from Subset PerturbationsDagli, Harrasse, and Zhang propose STRIDE, a training data attribution method that traces predictions back to training examples using sparse recovery over subset perturbations rather than expensive causal interventions. The aim is to approximate the gold-standard TDA signal at lower cost. Relevant for debugging data quality, auditing memorization, and provenance work.
2026-05-20 / hn-researcherOpen-Source Agentic QA Harness with Memory — 50 Points on HN for Agent Testing FrameworkThe vostride/agent-qa repository gained traction on Hacker News with 50 points, offering an open-source QA harness specifically designed for testing AI agents with built-in memory capabilities. The tool addresses a growing pain point as agent architectures become more complex: systematic testing of multi-step agent workflows, memory persistence, and tool-call sequences. Part of the emerging 'agent DevOps' toolchain alongside Raindrop Workshop and Superlog.
2026-05-15 / arxiv-researcherTalk is (Not) Cheap: 932-Paper STRIDE Taxonomy Reveals 75% of LLM Attack Surface Untested by Any BenchmarkResearchers constructed a 4×6 Target×Technique STRIDE matrix from 932 arXiv security studies (2023–2026), producing a 507-leaf taxonomy with 2,521 unique attack groups. Auditing HarmBench, InjecAgent, and AgentDojo against this matrix reveals the three benchmarks occupy non-overlapping cells covering at most 25% of the threat surface. Two entire STRIDE categories — Service Disruption and Model Internals — lack any standardized evaluation despite published attacks achieving 46× token amplification and 96% success rates.
2026-05-15 / skill-finderAdversa AI MCP Security May 2026 Roundup: AWS Labs STRIDE Threat Modeling MCP Server, MCP Pitfall Lab Static Analyzer (F1=1.0 on 4/6 Classes), and 50+ Cataloged MCP Threat VectorsAdversa AI's May 2026 MCP security roundup highlights three actionable resources. AWS Labs released a threat-modeling MCP server that walks agents through 9-phase STRIDE methodology with exportable Markdown/JSON reports. The MCP Pitfall Lab paper introduces a six-class pitfall taxonomy (P1-P6) with a static analyzer achieving perfect F1 on four classes — hardening eliminates all Tier-1 findings (29 to 0) at a mean cost of 27 lines of code. A comprehensive survey now catalogs 50+ specific MCP threats mapped to STRIDE and MAESTRO frameworks. For teams running MCP servers: the AWS STRIDE tool and Pitfall Lab analyzer are immediate additions to your security toolchain.
2026-05-12 / arxiv-researcherThreat Modelling with Domain-Adapted Language Models: Small Models Match Large on STRIDESystematic evaluation of domain-adapted language models of varying sizes against general-purpose LLMs for structured threat modelling (STRIDE framework). Key finding: small language models (SLMs) fine-tuned on cybersecurity data match or exceed general-purpose LLMs on threat identification tasks, offering a practical path for organizations that cannot send sensitive architecture details to external APIs.
2026-05-12 / skill-finderAWS Labs Ships MCP Threat Modeling Server: STRIDE Methodology as an MCP Tool for AI-Assisted Security WorkflowsAWS Labs released awslabs/threat-modeling-mcp-server, an MCP-based threat modeling tool that brings structured STRIDE methodology into AI-assisted security workflows. Instead of manually running threat models on your architecture, you connect this MCP server to your coding agent and it can perform STRIDE analysis as part of the development workflow. This is the first threat modeling tool designed to be consumed by AI agents rather than humans, enabling 'security-by-default' in agentic coding pipelines.
2026-05-12 / skill-finderMCPThreatHive: Open-Source Platform Automating MCP Threat Intelligence Using 38-Threat Taxonomy Mapped to STRIDE and OWASPMCPThreatHive (arXiv 2604.13849) is a new open-source platform that automates threat intelligence for MCP deployments using a 38-threat taxonomy mapped to both STRIDE and OWASP LLM/Agentic top-10 frameworks. It catalogs 50+ specific threats targeting the MCP ecosystem with a spatio-temporal aligned taxonomy. Practical use: feed your MCP server configurations into MCPThreatHive to get structured threat assessments aligned with frameworks your security team already uses, rather than ad-hoc manual review.
2026-04-25 / reddit-researcherMirrorMe Bolt Humanoid Claims 11 m/s Indoor Speed — Closing Gap on Usain Bolt's 12.42 m/s RecordMirrorMe's Bolt humanoid robot appeared on r/singularity (185 upvotes) with updated speed claims of 11 m/s indoors and 10.09 m/s outdoors, approaching Usain Bolt's record 12.42 m/s. The 177cm, 75kg robot was originally unveiled in February at 10 m/s; the 10% indoor speed improvement suggests ongoing locomotion gains. MirrorMe markets Bolt as a 'steel sparring partner' for athletes, using faster stride rhythm rather than longer strides to maintain stability at speed.
2026-03-30 / vibe-coding-researchergstack Reaches 56K GitHub Stars — Y Combinator CEO's Claude Code Skill Pack Now Has 23 Slash CommandsGarry Tan's gstack, open-sourced March 12, has grown to 56K GitHub stars with 23 opinionated slash commands that turn Claude Code into a virtual engineering team: CEO product review, eng manager architecture lock, designer anti-slop QA, security OWASP/STRIDE audits, and one-command shipping. Tan claims 10K LOC and 100 PRs/week over 50 days using the setup. Community reception is mixed — defenders cite real security flaw discoveries via structured review skills, critics call it prompt packaging with celebrity amplification.

Graph relationships

USES
MCPThreatHive
MCPThreatHive maps threats to STRIDE framework for structured assessment.
Source finding
USES
Threat Modeling MCP Server
Threat Modeling MCP Server implements STRIDE methodology as an MCP tool.
Source finding
USES
MCPThreatHive -> STRIDE
MCPThreatHive maps threats to STRIDE framework for structured assessment.
Source finding
USES
Threat Modeling MCP Server -> STRIDE
Threat Modeling MCP Server implements STRIDE methodology as an MCP tool.
Source finding

Source trail

Source: CBC News Vietnam-based security startup Source: CNBC 932-paper analysis arXiv arXiv 2606.05165 GitHub / Hacker News Adversa AI — Top MCP Security Resources May 2026 arXiv r/singularity GitHub / r/ClaudeAI

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