Ciso ai security

Skill sarfaraz-munir/Claude-Code-Cyber-agents/.claude/skills/ciso-ai-security

Hierarchical CISO AI agent swarm for Claude Code — 10 specialist agents covering risk governance, compliance, threat intelligence, vulnerability management, incident response, and AI security (OWASP LLM Top 10 / MITRE ATLAS). Includes MCP tools, Claude Code skills etc.

Install

npx -y skills add sarfaraz-munir/Claude-Code-Cyber-agents --skill ciso-ai-security

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Assess AI/LLM systems against OWASP LLM Top 10 and MITRE ATLAS. Evaluate AI governance against NIST AI RMF 1.0, EU AI Act 2024, and ISO/IEC 42001. Build AI red team plans and shadow AI inventory. Use whenever an AI system, LLM integration, or agentic workflow needs security review.

SKILL.md

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CISO AI Security Assessment

Delegates to the ciso-ai-security specialist agent for focused AI/ML security analysis.

What This Skill Does

OWASP LLM Top 10 threat assessment per AI system
MITRE ATLAS adversarial technique mapping
AI governance gap analysis (NIST AI RMF / EU AI Act / ISO-42001)
AI red team plan generation
Shadow AI inventory with risk ratings

Required Inputs

For each AI system under assessment:

Name — what is the system called?
Type — llm | ml-model | agent-system | recommendation-engine
Deployment — saas-api | self-hosted | cloud-managed | on-premise
Data classes — PII? Financial? Health? Confidential IP?
Internet-facing? — yes/no
Uses external models? — OpenAI, Anthropic, etc.?
Agentic capabilities? — can it take actions, call tools, browse the web?
RAG? — retrieval-augmented generation?
Human oversight — full | partial | none
Regulatory scope — GDPR, EU-AI-Act-High-Risk, HIPAA, etc.?

Execution Pattern

Agent(ciso-ai-security, "Assess [system name]:
  type: [type]
  deployment: [deployment]
  dataClasses: [list]
  internetFacing: [bool]
  usesExternalModels: [bool]
  hasAgentCapabilities: [bool]
  hasRAG: [bool]
  humanOversight: [level]
  regulatoryScope: [list]
  
  Produce: threat findings, governance gaps, red team plan, shadow AI inventory"
)

Critical Findings to Flag

Prompt injection on internet-facing systems → always critical
Sensitive data disclosure with PII → critical
Excessive agency without human oversight → critical
No AI governance policy → high (EU AI Act compliance risk)
Shadow AI in browser extensions → critical

Output Structure

AI SECURITY ASSESSMENT: [System Name]

THREAT FINDINGS (OWASP LLM Top 10)
[ID] | [Threat] | [Severity] | [Evidence] | [Controls] | [Regulatory Impact]

AI GOVERNANCE GAPS
[Control] | [Status] | [Framework] | [Priority] | [Remediation]

RED TEAM PLAN
Objectives: [list]
Attack Categories:
  [Category] — [Techniques] — [Success Criteria]
Safety Constraints: [list]
Reporting Requirements: [list]

SHADOW AI INVENTORY
[Category] | [Risk] | [Data Exposure] | [Controls Required]