home / skills / pluginagentmarketplace / custom-plugin-ai-red-teaming / certifications-training
This skill helps you build AI security expertise through certifications, CTFs, and structured training for a professional security career.
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---
name: certifications-training
version: "2.0.0"
description: Professional certifications, CTF competitions, and training resources for AI security practitioners
sasmp_version: "1.3.0"
bonded_agent: 01-red-team-commander
bond_type: SECONDARY_BOND
# Schema Definitions
input_schema:
type: object
required: [query_type]
properties:
query_type:
type: string
enum: [certifications, ctf, training, career_path, resources]
experience_level:
type: string
enum: [beginner, intermediate, advanced, expert]
focus_area:
type: string
enum: [llm_security, adversarial_ml, model_security, general]
output_schema:
type: object
properties:
recommendations:
type: array
learning_path:
type: object
resources:
type: array
estimated_timeline:
type: string
# Framework Mappings
owasp_llm_2025: [LLM01, LLM02, LLM03, LLM04, LLM05, LLM06, LLM07, LLM08, LLM09, LLM10]
nist_ai_rmf: [Govern, Map, Measure, Manage]
---
# AI Security Certifications & Training
Build **professional expertise** through certifications, CTFs, and structured training programs.
## Quick Reference
```yaml
Skill: certifications-training
Agent: 01-red-team-lead
OWASP: Full LLM Top 10 Coverage
NIST: Govern, Map, Measure, Manage
Use Case: Professional development
```
## Career Progression Map
```
┌────────────────────────────────────────────────────────────────────┐
│ AI SECURITY CAREER PATH │
├────────────────────────────────────────────────────────────────────┤
│ │
│ ENTRY LEVEL (0-2 years) │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ Security Analyst → AI Security Analyst → Jr. Red Team │ │
│ │ Skills: Python, ML basics, Security fundamentals │ │
│ │ Certs: Security+, AI Fundamentals, CEH │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ ↓ │
│ MID LEVEL (2-5 years) │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ AI Red Team Engineer → Senior Red Team → Team Lead │ │
│ │ Skills: Adversarial ML, LLM security, Tool development │ │
│ │ Certs: OSCP, CAISP, Cloud AI certs │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ ↓ │
│ SENIOR LEVEL (5+ years) │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ Principal → Director → CISO (AI Focus) │ │
│ │ Skills: Strategy, Research, Thought leadership │ │
│ │ Certs: CISSP, Research publications, Speaking │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
└────────────────────────────────────────────────────────────────────┘
```
## Professional Certifications
### AI/ML Security Specific
```yaml
Certifications:
CAISP (Certified AI Security Professional):
provider: "(ISC)²"
focus: "AI Security Architecture"
prerequisites: "5 years security experience"
domains:
- AI/ML Security Fundamentals
- Secure AI Development
- AI Threat Modeling
- AI Governance & Compliance
renewal: "3 years, CPE credits"
value: "Industry recognized, comprehensive"
Google AI Red Team Certificate:
provider: "Google"
focus: "LLM Security Testing"
prerequisites: "ML experience recommended"
topics:
- Prompt injection attacks
- Model extraction
- Safety evaluation
- Responsible disclosure
format: "Online, self-paced"
value: "Vendor-specific, practical"
Microsoft AI-900:
provider: "Microsoft"
focus: "Azure AI Fundamentals"
prerequisites: "None"
topics:
- AI/ML concepts
- Azure AI services
- Responsible AI principles
format: "Exam-based"
value: "Entry-level, cloud-focused"
AWS Machine Learning Specialty:
provider: "Amazon"
focus: "ML on AWS"
prerequisites: "AWS experience"
topics:
- Data engineering
- Modeling
- ML implementation
- Security considerations
format: "Exam-based"
value: "Cloud-focused, practical"
```
### Traditional Security (AI-Applicable)
```yaml
Core Security Certifications:
OSCP:
provider: "Offensive Security"
relevance: "Penetration testing methodology"
ai_application: "API testing, infrastructure attacks"
difficulty: "High"
recommendation: "Highly recommended"
GPEN:
provider: "SANS"
relevance: "Enterprise penetration testing"
ai_application: "Comprehensive testing approach"
difficulty: "Medium-High"
recommendation: "Recommended"
CEH:
provider: "EC-Council"
relevance: "Ethical hacking fundamentals"
ai_application: "Basic attack techniques"
difficulty: "Medium"
recommendation: "Good starting point"
CISSP:
provider: "(ISC)²"
relevance: "Security architecture"
ai_application: "Security program design"
difficulty: "High"
recommendation: "For senior roles"
CCSP:
provider: "(ISC)²"
relevance: "Cloud security"
ai_application: "Cloud-hosted AI systems"
difficulty: "High"
recommendation: "For cloud-focused roles"
```
## CTF Competitions
### AI/ML Focused CTFs
```python
class AISecurityCTFs:
"""Catalog of AI security CTF competitions."""
CTF_CATALOG = {
"Tensor Trust": {
"focus": "Prompt injection defense",
"type": "ongoing",
"difficulty": "beginner_to_advanced",
"url": "https://tensortrust.ai/",
"skills_tested": [
"Prompt injection attack",
"Defense strategies",
"Jailbreak techniques"
],
"prizes": "Leaderboard ranking"
},
"HackAPrompt": {
"focus": "LLM jailbreaking",
"type": "annual",
"difficulty": "all_levels",
"organizer": "Learn Prompting",
"skills_tested": [
"Prompt engineering",
"Safety bypass",
"Creative attacks"
],
"prizes": "$35,000+ total"
},
"AI Village CTF": {
"focus": "General AI security",
"type": "annual",
"venue": "DEF CON",
"difficulty": "intermediate_to_expert",
"skills_tested": [
"Model attacks",
"Adversarial ML",
"LLM exploitation"
],
"prizes": "Recognition, swag"
},
"Adversarial ML CTF": {
"focus": "Image classification attacks",
"type": "conference",
"venue": "NeurIPS, CVPR",
"difficulty": "advanced",
"skills_tested": [
"Adversarial examples",
"Evasion attacks",
"Robustness evaluation"
],
"prizes": "Research recognition"
},
"Gandalf": {
"focus": "Prompt injection levels",
"type": "ongoing",
"difficulty": "beginner_to_intermediate",
"url": "https://gandalf.lakera.ai/",
"skills_tested": [
"Progressive prompt injection",
"Filter bypass",
"Secret extraction"
],
"prizes": "Learning experience"
}
}
```
### Practice Platforms
```yaml
Platforms:
Lakera (Red Team Arena):
focus: "LLM security"
cost: "Free"
features:
- Prompt injection challenges
- Jailbreak scenarios
- Leaderboard
url: "https://gandalf.lakera.ai/"
HackTheBox AI Labs:
focus: "AI/ML security"
cost: "Premium"
features:
- Realistic environments
- Progressive difficulty
- Write-ups available
url: "https://www.hackthebox.com/"
TryHackMe AI Paths:
focus: "Learning paths"
cost: "Freemium"
features:
- Guided learning
- AI security rooms
- Certificates
url: "https://tryhackme.com/"
PentesterLab:
focus: "Web + API security"
cost: "Subscription"
features:
- API testing skills
- Applicable to AI APIs
- Exercises with solutions
url: "https://pentesterlab.com/"
```
## Training Resources
### Structured Learning Paths
```python
class LearningPathGenerator:
"""Generate personalized learning paths."""
PATHS = {
"beginner": {
"duration": "6 months",
"prerequisites": ["Basic Python", "Linux fundamentals"],
"modules": [
{
"name": "ML/DL Fundamentals",
"resources": [
"Fast.ai: Practical Deep Learning",
"Coursera: Machine Learning (Andrew Ng)",
"HuggingFace NLP Course"
],
"duration": "2 months"
},
{
"name": "Security Basics",
"resources": [
"TryHackMe: Pre-Security Path",
"OWASP Web Security Testing Guide",
"PortSwigger Web Security Academy"
],
"duration": "2 months"
},
{
"name": "AI Security Introduction",
"resources": [
"Gandalf (Lakera) - All levels",
"OWASP LLM Top 10 Study",
"Introduction to Adversarial ML (course)"
],
"duration": "2 months"
}
],
"certifications": ["CompTIA Security+", "AI-900"]
},
"intermediate": {
"duration": "12 months",
"prerequisites": ["ML experience", "Security fundamentals"],
"modules": [
{
"name": "Adversarial ML Deep Dive",
"resources": [
"Stanford CS234: Adversarial Robustness",
"ART (IBM) Tutorials",
"TextAttack Documentation"
],
"duration": "3 months"
},
{
"name": "LLM Security Specialization",
"resources": [
"PyRIT Documentation & Labs",
"garak Tool Mastery",
"Prompt Injection Research Papers"
],
"duration": "3 months"
},
{
"name": "Tool Development",
"resources": [
"Build custom probes for garak",
"PyRIT orchestrator development",
"Contribute to open source"
],
"duration": "3 months"
},
{
"name": "CTF Competition",
"resources": [
"Participate in AI Village CTF",
"HackAPrompt competition",
"Create CTF challenges"
],
"duration": "3 months"
}
],
"certifications": ["OSCP", "Google AI Red Team"]
},
"advanced": {
"duration": "24+ months",
"prerequisites": ["AI red team experience", "Research background"],
"modules": [
{
"name": "Original Research",
"resources": [
"Read latest papers (arXiv, OpenReview)",
"Conduct novel research",
"Publish findings"
],
"duration": "Ongoing"
},
{
"name": "Thought Leadership",
"resources": [
"Conference speaking (DEF CON, NeurIPS)",
"Blog writing",
"Tool development"
],
"duration": "Ongoing"
},
{
"name": "Mentorship",
"resources": [
"Mentor junior practitioners",
"Create training content",
"Community building"
],
"duration": "Ongoing"
}
],
"certifications": ["CISSP", "CAISP"]
}
}
```
### Key Publications
```yaml
Essential Reading:
Books:
- title: "Adversarial Machine Learning"
authors: "Joseph et al."
focus: "Attack and defense fundamentals"
level: "Intermediate"
- title: "Trustworthy Machine Learning"
authors: "Kang et al."
focus: "Safety, fairness, privacy"
level: "Advanced"
- title: "The Art of Prompt Engineering"
focus: "LLM interaction patterns"
level: "Beginner-Intermediate"
Research Papers:
- "Ignore This Title and HackAPrompt" (2023)
- "Universal and Transferable Adversarial Attacks" (2023)
- "Extracting Training Data from LLMs" (2023)
- "Jailbreaking LLMs: A Comprehensive Study" (2024)
Industry Reports:
- "OWASP LLM Top 10 2025"
- "NIST AI Risk Management Framework"
- "MITRE ATLAS Adversarial Threat Landscape"
- "Microsoft AI Red Team Reports"
```
## Skill Development Tracker
```python
class SkillTracker:
"""Track skill development progress."""
SKILL_MATRIX = {
"technical": {
"python_proficiency": ["basic", "intermediate", "advanced", "expert"],
"ml_fundamentals": ["none", "basic", "intermediate", "advanced"],
"adversarial_ml": ["none", "basic", "intermediate", "advanced"],
"llm_security": ["none", "basic", "intermediate", "advanced"],
"tool_proficiency": ["none", "user", "developer", "contributor"],
},
"offensive": {
"prompt_injection": ["none", "basic", "intermediate", "advanced"],
"jailbreaking": ["none", "basic", "intermediate", "advanced"],
"model_extraction": ["none", "basic", "intermediate", "advanced"],
"adversarial_examples": ["none", "basic", "intermediate", "advanced"],
},
"defensive": {
"input_validation": ["none", "basic", "intermediate", "advanced"],
"guardrails": ["none", "basic", "intermediate", "advanced"],
"monitoring": ["none", "basic", "intermediate", "advanced"],
"incident_response": ["none", "basic", "intermediate", "advanced"],
},
"professional": {
"reporting": ["none", "basic", "intermediate", "advanced"],
"communication": ["none", "basic", "intermediate", "advanced"],
"research": ["none", "basic", "intermediate", "advanced"],
"mentorship": ["none", "basic", "intermediate", "advanced"],
}
}
def generate_development_plan(self, current_skills, target_role):
"""Generate personalized development plan."""
gaps = self._identify_gaps(current_skills, target_role)
return DevelopmentPlan(
gaps=gaps,
resources=self._recommend_resources(gaps),
timeline=self._estimate_timeline(gaps),
milestones=self._set_milestones(gaps)
)
```
## Community Resources
```yaml
Communities:
AI Village:
platform: "Discord, DEF CON"
focus: "AI security research"
activities: "CTFs, talks, research"
url: "https://aivillage.org/"
OWASP AI Security:
platform: "OWASP Slack, GitHub"
focus: "AI application security"
activities: "Projects, documentation"
url: "https://owasp.org/www-project-ai-security/"
MLSecOps:
platform: "Slack, Conferences"
focus: "ML security operations"
activities: "Best practices, tools"
AI Safety:
platform: "Various"
focus: "AI alignment and safety"
activities: "Research, discussion"
```
## Troubleshooting
```yaml
Issue: Don't know where to start
Solution: Begin with Gandalf challenges, then TryHackMe AI rooms
Issue: Certification too expensive
Solution: Focus on free CTFs and open-source tool contributions
Issue: No practical experience
Solution: Participate in bug bounties, contribute to open source
Issue: Skill plateau
Solution: Try research, teaching, or tool development
```
## Integration Points
| Component | Purpose |
|-----------|---------|
| Agent 01 | Career guidance |
| /analyze | Skill gap analysis |
| Community | Networking |
| CTF platforms | Practical experience |
---
**Build AI security expertise through structured learning.**
This skill provides a curated program of professional certifications, CTF competitions, and structured training for AI security practitioners. It maps career progression from entry-level to senior roles and recommends certifications, practice platforms, and learning paths. The content focuses on practical skill development for red teaming, adversarial ML, and LLM security. It helps practitioners plan certifications, hands-on practice, and research milestones.
The skill inspects professional certification options (AI-specific and traditional security) and catalogs AI/ML-focused CTFs and practice platforms. It defines beginner, intermediate, and advanced learning paths with recommended resources, timelines, and target certifications. It also includes a skill tracker matrix to measure technical, offensive, and defensive competencies. Recommendations are practical and aligned to real-world roles and progression.
Which certifications should I start with if I'm new to AI security?
Begin with foundational certs like AI-900 and CompTIA Security+ while completing basic ML and web security courses.
How do CTFs fit into certification-driven learning?
CTFs provide practical, hands-on experience to apply concepts from certifications and are essential for skill consolidation and portfolio building.
Can traditional security certs be useful for AI roles?
Yes—certs like OSCP, GPEN, CISSP, and CCSP map directly to skills needed for API testing, cloud AI deployments, and security program design.