Best AI Security Resources: Courses and Certifications
A curated hub of the best AI security resources beyond tools and articles — courses, certifications, communities, datasets, podcasts, and standards bodies practitioners actually use.
A list of the best AI security resources is really three lists in one: things to read, places to learn, and people to learn from. This page collects the resources our editorial team and the practitioners we interview return to most often. Tools live in our best AI security tools guide; articles live in our best AI security articles list. Everything else — courses, certifications, communities, datasets, podcasts, and reference standards — lives here.
The curation criteria are deliberately tight: a resource earns a spot only if at least one of our contributors has used it to solve a real problem in production, audit, or research. Recency matters in this field. Anything older than 2023 is included only when the content holds up despite the model landscape shifting underneath it.
This page is reviewed quarterly. Last refresh: 2026-05-11.
Reference Standards and Frameworks
These are the documents that AI security conversations now anchor on. If you’re writing a policy, an audit checklist, or a procurement RFP, start here.
| Resource | What It Is | Best For | Maintained By |
|---|---|---|---|
| OWASP Top 10 for LLM Applications ↗ | Vulnerability taxonomy for LLM systems | Common vocabulary, threat modeling | OWASP (community) |
| NIST AI 600-1 — Generative AI Profile ↗ | Risk management controls for generative AI | Enterprise procurement, audits | NIST |
| MITRE ATLAS ↗ | Adversarial threat matrix for ML systems | Threat intel, attacker tactics mapping | MITRE |
| OWASP AI Security and Privacy Guide ↗ | Broader AI/ML security (beyond LLMs) | Classical ML systems, training pipelines | OWASP |
| ISO/IEC 42001 ↗ | AI management system standard | Formal certification, governance programs | ISO |
Use when: building a defensible AI security program, mapping controls to a recognized framework, or answering a vendor security questionnaire about AI.
Skip if: you’re looking for hands-on tooling or attack code — these are reference documents, not playbooks. Pair them with the practical guides further down.
Courses and Structured Learning
Self-paced and instructor-led options for engineers and security people who need to ramp up beyond reading blog posts.
| Course | Format | Level | What It Covers |
|---|---|---|---|
| DeepLearning.AI — Red Teaming LLM Applications ↗ | Free, ~1h | Beginner | Hands-on jailbreaks, Giskard scanner |
| DeepLearning.AI — Quality and Safety for LLM Applications ↗ | Free, ~1h | Beginner | WhyLabs LangKit, hallucination + injection detection |
| Coursera — AI for Cybersecurity Specialization (Johns Hopkins) ↗ | Paid, multi-course | Intermediate | Defensive ML, broader AI/security overlap |
| SANS — Securing AI Implementations (SEC545) ↗ | Paid, instructor-led | Intermediate–Advanced | Threat modeling, controls, hands-on labs |
| Lakera — Gandalf challenge ↗ | Free, gamified | Any | Interactive prompt injection practice |
Pros: DeepLearning.AI courses are the highest-ROI entry point — short, free, and built around real tooling. SANS is the most rigorous if your employer is paying.
Cons: Most “AI security” courses outside this list are repackaged AI literacy content. Read the syllabus before paying; if it doesn’t include hands-on injection / red team exercises, it’s not what you need.
Certifications
This category is still maturing. Certifications worth holding are limited.
| Certification | Issuer | Status | Worth It For |
|---|---|---|---|
| AIGP — AI Governance Professional | IANS/IAPP ↗ | Established | Governance, risk, compliance roles |
| CAISO — Certified AI Security Officer | Practical DevSecOps | Newer, vendor-issued | Hands-on AI sec engineering |
| Certified Ethical Hacker — AI | EC-Council | Newer | Red team / pentesting career path |
| ISO/IEC 42001 Lead Auditor | Multiple training providers | Established | AI management system auditing |
Recommendation: The AIGP from IAPP currently has the broadest recognition in procurement and legal contexts. Defer the more hands-on certs until they accumulate more market signal — practical demonstration (CTF wins, public red team writeups, contributions to Garak/Promptfoo) often outweighs the certificate itself.
Communities and Conferences
Where AI security practitioners actually talk to each other.
| Venue | Format | Cadence | Best For |
|---|---|---|---|
| AI Village at DEF CON ↗ | In-person, free with DEF CON | Annual (Aug, Las Vegas) | Networking, CTFs, live demos |
| OWASP GenAI Security Project — Slack ↗ | Async chat | Continuous | Direct contact with framework authors |
| Latent Space Discord ↗ | Async chat | Continuous | AI engineering with security threads |
| Black Hat AI Summit ↗ | In-person, paid | Annual | Enterprise-grade threat briefings |
| LessWrong / Alignment Forum ↗ | Long-form posts | Continuous | Frontier safety thinking, not just security |
| r/MachineLearning ↗ | Continuous | Paper announcements, broader ML context |
Pros: AI Village’s DEF CON CTF is the single best venue for meeting working AI red teamers. The OWASP GenAI Slack gives unusually direct access to people writing the standards you’ll be cited against.
Cons: Quality varies sharply on Reddit and Discord. Lurk before posting; treat product pitches with skepticism.
Podcasts and Newsletters
For passive intake while staying current.
| Resource | Format | Cadence | Why Listen / Read |
|---|---|---|---|
| The MLSecOps Podcast (Protect AI) ↗ | Podcast | Weekly | Practitioner interviews, vendor-neutral |
| Latent Space Podcast ↗ | Podcast | Weekly | Broader AI eng, security guests every few weeks |
| The Cognitive Revolution ↗ | Podcast | Weekly | Frontier model behavior and alignment |
| AI Snake Oil — Arvind Narayanan & Sayash Kapoor ↗ | Newsletter | Bi-weekly | Critical analysis of AI claims |
| Import AI — Jack Clark ↗ | Newsletter | Weekly | Concise AI policy and research summaries |
| Simon Willison’s Weblog ↗ | Blog | Daily | The single most consistent feed on prompt injection in practice |
Pros: Simon Willison’s blog is the closest thing to a real-time threat intel feed for prompt injection techniques. Import AI is the best signal-to-time ratio for non-specialists.
Cons: Two or three of these is enough. Subscribing to all of them produces information without action.
Datasets and Benchmarks
For teams building evaluation pipelines or doing research.
| Dataset | What It Contains | Best For | License |
|---|---|---|---|
| JailbreakBench ↗ | Standardized jailbreak prompts and judge models | Evaluating jailbreak resistance | MIT |
| HarmBench ↗ | Red teaming evaluation framework | Standardized red team benchmarking | MIT |
| WildGuardMix ↗ | Adversarial + benign prompts with safety labels | Training safety classifiers | ODC-BY |
| PromptBench ↗ | Adversarial prompt robustness benchmark | Robustness measurement | MIT |
| Garak probe library ↗ | Modular probes covering many vulnerability classes | Practical scanning, customizable | Apache 2.0 |
| PINT Benchmark (Lakera) ↗ | Prompt injection detection benchmark | Comparing detectors objectively | MIT |
Use when: building your own evaluation harness, comparing two defenses head-to-head, or publishing research.
Skip if: you just want to spot-check a single deployment — start with Garak instead of stitching benchmarks together.
Books
Curated short, because most AI security books are out of date by the time they ship.
| Book | Author | Why Read |
|---|---|---|
| Adversarial Machine Learning ↗ | Vorobeychik, Kantarcioglu | Mathematical grounding for classical adversarial ML |
| Generative AI Security ↗ | Ken Huang et al. | First major treatment of LLM/GenAI security; uneven but useful |
| The Alignment Problem ↗ | Brian Christian | Context on why AI safety and AI security overlap |
| Designing Machine Learning Systems ↗ | Chip Huyen | Not security-focused but essential MLOps grounding |
Sibling Site Resources
Within this network, several sibling sites host deeper coverage:
- aisecreviews.com ↗ — Hands-on practitioner reviews of individual tools
- aisecdigest.com ↗ — Editorial analysis and weekly briefings
- jailbreakdb.com ↗ — Catalogued jailbreak techniques by model and method
- jailbreaks.fyi ↗ — Live tracker of novel jailbreak techniques
- aiincidents.org ↗ — Documented AI security incidents and postmortems
- adversarialml.dev ↗ — Adversarial ML attack/defense reference
- mlcves.com ↗ — CVE-style tracking of ML vulnerabilities
- bestllmscanners.com ↗ — Scanner-focused tool comparisons
- aimoderationtools.com ↗ — Content moderation tool comparisons
How to Use This List
If you’re new to AI security, work through this sequence:
- Read the OWASP Top 10 for LLM Applications and the NIST AI 600-1 summary.
- Take both free DeepLearning.AI short courses.
- Subscribe to two newsletters (suggested: Simon Willison’s weblog and Import AI).
- Run Garak against any LLM endpoint you can legally test.
- Join the OWASP GenAI Slack and lurk for a month.
For experienced practitioners, the highest-leverage entries are the standards bodies (for influencing controls) and the datasets/benchmarks (for measurement). The community venues are where hiring and consulting opportunities surface.
How This List Is Maintained
We review every entry quarterly. The current review window is February / May / August / November. A resource is removed if it has not shipped a release or substantive update in 12 months, if its links break and are not restored, or if its content materially misrepresents the current state of practice. New entries are added only after at least one editorial contributor has used the resource themselves.
If you maintain an AI security resource you believe belongs on this list, the most reliable path is to contribute meaningfully to one of the OWASP, NIST, or MITRE projects above — that’s the credibility filter we apply first.
Sources
- OWASP Top 10 for Large Language Model Applications ↗ — The community-developed vulnerability taxonomy used throughout this list.
- NIST AI Risk Management Framework ↗ — The U.S. government’s AI risk reference, including the AI 600-1 Generative AI Profile.
- MITRE ATLAS ↗ — Adversarial tactics, techniques, and procedures for AI systems.
- AI Village at DEF CON ↗ — The longest-running AI security community venue.
Sources
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