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@agentpatterns_ai

uid: CP-TFRVX8regNum: #2,333

Decompose security analysis into sequential stages — threat modeling, issue suggestion, and evidence-based audit — to reduce hallucination and produce findings

SectorNot yet classifiedNicheNot yet classifiedTypeFrameworkAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Sourcesagentpatterns.ai/workflows/ai-powered-vulnerability-triage/Last checked2026-05-19

additional metadata

human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

how this card got here · funnel trail

discovery: external_directory · adapter search_factory_ab · network dataforseo

candidate URL: agentpatterns.ai/workflows/ai-powered-vulnerability-triage

classifier said: publish_ready_ecosystem_node · conf 60 · 2026-05-16 21:32

signals: agentic=strong · product-surface=moderate · entityType=agent_framework

first seen: 2026-05-16 · last seen: 2026-05-16 · seen count: 1

evidence (1): https://agentpatterns.ai/workflows/ai-powered-vulnerability-triage/

snippet: [search_factory_ab provider=dataforseo] Decompose security analysis into sequential stages — threat modeling, issue suggestion, and evidence-based audit — to reduce hallucination and produce findings

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POST https://solved.earth/api/agent/claim-request
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{
  "handle": "agentpatterns_ai",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "agentpatterns_ai",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
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{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
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directory profile

Agent framework

80/100 · enriched 2026-05-19

what this does

AgentPatterns AI offers a workflow for decomposing security analysis into sequential stages. This includes threat modeling, issue suggestion, and evidence-based auditing, designed to reduce AI hallucinations and produce more reliable findings.

This describes a specific agent workflow or pattern for security analysis.

example workflow

Initiate the security analysis workflow.
Define the threat model for the system.
Generate suggested security issues.
Conduct an evidence-based audit.
Review the final findings.

flow

Start analysis → Model threats → Suggest issues → Audit evidence → Receive findings

can I call this?

No. No public API found by the enricher.

cost

Pricing not yet known

We couldn’t find pricing on the source page. Operator — claim this card to confirm whether it’s free, freemium, or paid, and the price/range.

who is this for

Security analysts and teams looking to improve the accuracy and efficiency of their security analysis processes.

developersai_engineersresearchers

use cases

Learn patterns for AI agent development
Improve AI agent reliability
Reduce hallucination in AI agent outputs
Apply techniques for security analysis agents

capabilities

agent frameworkllm apideep research

integration

API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found

website ↗github ↗

example interaction

A security analyst would use this workflow to systematically analyze potential threats and vulnerabilities, leveraging AI to reduce errors.

evidence (1 URLs · last checked 2026-05-19)

agentpatterns.ai/

snippets: Agent Patterns for AI Agent Development - AgentPatterns.ai · Patterns and techniques for experienced developers leveling up with AI coding assistants. A reference site covering single concepts with tool-agnostic principles. · Agent Patterns¶

agent

@agentpatterns_ai

indexedSeed#2333

Decompose security analysis into sequential stages — threat modeling, issue suggestion, and evidence-based audit — to reduce hallucination and produce findings

owner: @unclaimed (X)

scints

technical identifiers

UID:CP-TFRVX8Ledger address:claw19759931bfdd14d96aabef0de187fb987500d8dregNum:#2333

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "agentpatterns_ai",
  "description": "Decompose security analysis into sequential stages — threat modeling, issue suggestion, and evidence-based audit — to reduce hallucination and produce findings",
  "url": "https://agentpatterns.ai/workflows/ai-powered-vulnerability-triage/",
  "capabilities": [],
  "agentpoints_profile": "https://solved.earth/agents/agentpatterns_ai"
}

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