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Quick answer
Two AI-security certifications from established security bodies now exist — CompTIA SecAI+ (CY0-001), launched in February 2026 for practitioners, and ISACA's AAISM, for managers who already hold CISM or CISSP — but neither yet carries CISSP-level weight, because the attacks matured faster than the credential industry. The canonical frameworks are public and free (OWASP's LLM security guidance, MITRE's ATLAS knowledge base of adversarial techniques), and the security fundamentals you already hold transfer directly. To understand the systems you will be defending, Udemy’s LangChain: Agentic AI Engineering with LangChain & LangGraph builds retrieval pipelines, tool-calling agents and MCP servers in about 20 hours of Python, and closes with a section on agent security.
See LangChain: Agentic AI Engineering on Udemy →
The table below compares 4 options on provider, level, realistic time, coding needed and best for.
| Option | Provider | Level | Realistic time | Coding needed | Best for |
|---|---|---|---|---|---|
| OWASP LLM security guidance (free framework) | OWASP | All levels | Days to absorb, ongoing to apply | Helpful | The canonical map of LLM application risks |
| MITRE ATLAS (free knowledge base) | MITRE | Intermediate | Ongoing reference | Helpful | Adversarial techniques catalogued like ATT&CK |
| Emerging AI-security credentials | CompTIA (SecAI+), ISACA (AAISM) | Intermediate to Advanced | Varies | Varies | Watchlist — verify recognition before paying |
| AI Governance Professional (AIGP) | IAPP | — | IAPP's study-time advice is in our AIGP guide | No | The governance-side complement to technical security |
Is there an actual AI security certification?
Not a standard one. Security certification bodies are moving — AI-security credentials and exam modules have started appearing — but nothing yet carries the recognition weight that CISSP or Security+ carry in general security. Meanwhile the work exists now: every company that shipped an LLM feature acquired an attack surface its security team is expected to defend.
That gap defines the strategy. Build the skill from the public canon and your existing security foundations today; add the badge when a credible one matures. Our cybersecurity professionals guide covers the broader AI-certification stack for security roles; this page goes deep on the security-of-AI layer specifically.
What does AI security work actually cover?
Defending AI systems, not just using AI defensively — the distinction matters. The core threat classes:
- Prompt injection — untrusted content hijacking an LLM's instructions; the signature vulnerability of the era, and unsolved in the general case.
- Data risks — training-data poisoning, sensitive-data leakage through model outputs, and retrieval systems surfacing documents the asker should never see.
- Model and supply-chain attacks — extraction, evasion of classifiers, and poisoned third-party models or datasets entering your stack.
- Agent risks — once systems take actions, injection escalates from wrong words to wrong deeds: tool misuse, privilege escalation through connected systems, runaway loops. Our agentic AI explainer covers why autonomy changes the stakes, and the agentic AI certifications guide maps that training layer.
The free canonical layer: OWASP and MITRE ATLAS
The field's two reference works are public and cost nothing. OWASP's LLM application security guidance catalogues the top risk classes with mitigations, and it is the closest thing AI security has to a shared vocabulary — job interviews and vendor assessments both lean on it. MITRE's ATLAS does for adversarial AI what ATT&CK did for conventional intrusion: a structured knowledge base of tactics and real-world case studies.
Work through both properly — not skimmed, but mapped against a system you actually know — and you hold more current AI-security knowledge than most paid courses teach. That is an unusual situation, and it will not last; use it while it does.
Not sure this is the right one for you?
Tell the picker about your background and what you want the certificate to do, and it narrows the list to the one or two courses we would start with. It suggests only our affiliate partners’ courses, and says so before it suggests anything.
Try the AI Certification Picker →What about the emerging paid credentials?
Apply a watchlist discipline. Security bodies with real standing are shipping AI-security offerings, and those deserve attention as they mature — issuer reputation transfers. The two to know by name are CompTIA's SecAI+ (exam CY0-001, launched 17 February 2026, recommended for people with a few years of hands-on security work) and ISACA's AAISM (Advanced in AI Security Management), designed for active CISM or CISSP holders. The rest of the market is course-sellers with 'AI red team certified' badges, and the credibility floor from the rest of this site applies with extra force here: security hiring managers are professionally suspicious people, and an unrecognised badge reads worse in this field than in most.
AAISM's fee and format, as ISACA publishes them, are below. Its prerequisite is the real filter: without an active CISM or CISSP you cannot sit it.
The table below shows the fee and format of the CompTIA SecAI+ exam and AAISM, as each vendor publishes them. Where a course we score prepares for an exam, the Prep course column names the highest-scored one; the course prepares you, and only the vendor's exam awards the certification. Every other exam we track is compared on our AI certification exams page.
| Credential | Vendor | Level | Fee | Exam format | Enrol | Prep course |
|---|---|---|---|---|---|---|
| CompTIA SecAI+ Launched 17 February 2026; not entry-level, and CompTIA recommends 3–4 years in IT with 2+ in cybersecurity. | CompTIA | Intermediate | $298 USD (US list price for the exam voucher) | 60 minutes · up to 60 questions · Pearson VUE centre or online | CompTIA → | CompTIA SecAI+ (CY0-001) prep course (Total Seminars) Coursera → |
| ISACA Advanced in AI Security Management (AAISM) Requires an active CISM or CISSP. | ISACA | Advanced | $599 USD; $459 for ISACA members | 150 minutes · 90 questions · PSI test centre or remote | ISACA → | AI Risk Management for Security Managers Coursera → |
How do your existing security certifications treat AI?
Increasingly seriously, and that is your cheapest route to credentialed AI-security knowledge. The major security certifications are folding AI content into their bodies of knowledge and continuing-education catalogues, which means AI-security study can usually count toward the CPE hours you already owe. A security professional who logs AI-security learning against an existing respected credential gets recognition and currency in one move — often a better trade than an unproven new badge.
How do you build hands-on skill?
Attack something you are allowed to attack. Prompt-injection playgrounds, deliberately vulnerable LLM applications and AI-focused CTF challenges exist specifically for this practice, and an afternoon spent actually extracting a system prompt teaches more than a week of slides. Then defend: take one LLM feature — yours, or a rebuilt demo — and harden it against the OWASP list, writing up what worked. That write-up is interview material no certificate currently matches, the same evidence logic as our LLMOps guide, where evaluation and monitoring overlap heavily with security observability.
The demo you harden is easier to attack, and to defend, if you have built one yourself. Udemy’s LangChain: Agentic AI Engineering with LangChain & LangGraph is not a security course, but it builds the components this page lists as attack surface — retrieval over your own documents, function-calling agents, LangGraph workflows and Model Context Protocol servers — in about 20 hours, assuming Python, and its final section covers agent security foundations. It is bought once on Udemy and ends in a certificate of completion, not a security credential; the OWASP and ATLAS work above is still the core.
Who should invest in AI security now?
Anyone already responsible for application security at a company shipping LLM features — that attack surface exists whether or not someone has been assigned to it.
- Security engineers and analysts at companies shipping LLM features — the surface already exists and someone will own it; volunteering early is a career position, not just a skill.
- AppSec professionals — LLM application security is the natural extension of what you already review, and the skills gap premium is real while it lasts.
- Red teamers — adversarial AI is becoming a standard engagement scope; ATLAS fluency is the differentiator.
- Governance-adjacent professionals — pair the technical map with the AI governance credentials if your role is risk and compliance rather than hands-on defence.
Where most AI-security advice gets it wrong
It waits for permission. The standard counsel — 'watch this space, credentials are coming' — treats the missing badge as a reason to defer the skill, which inverts the opportunity. The attacker curriculum is public, free and battle-tested; the certificate industry is still writing slides. Fields reward the people who arrive before the credentialing does — the first cohort of cloud-security specialists built careers years before cloud-security certifications stabilised, and the pattern is repeating.
Our position: in AI security, evidence currently beats certification by a wider margin than anywhere else on this site. A documented hardening project plus fluency in the public frameworks outbids any badge now purchasable. Build now; certify when the credentials deserve you.
Verdict
For security professionals asked to defend AI systems: start with the free canon — OWASP's LLM guidance and MITRE ATLAS — mapped against a system you know, log the study against your existing certification's CPE requirements, and build one documented hardening project. Watch the emerging credentials and buy one only when its issuer's name opens doors on its own. The 2026 rankings track the broader field, the staged path lives in our AI certification roadmap, and the Picker matches credentials to your role in two minutes.
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Bought once, with what Udemy calls lifetime access. Udemy's price swings between its list price and a sale price, sometimes within days — check it on the day rather than trusting any figure you read, here or anywhere else.
Frequently asked questions
Is there a certification for AI security?
Two now exist from security bodies with real standing: CompTIA’s SecAI+ (CY0-001), a practitioner exam launched in February 2026, and ISACA’s AAISM, for security managers who already hold CISM or CISSP. Neither yet carries CISSP-level weight. The canonical knowledge — OWASP’s LLM guidance and MITRE ATLAS — is free, and most security professionals should build from there whichever exam they add.
That is a better position than it sounds, because nobody is screened out for lacking a credential hiring managers do not yet look for. Hiring managers in this space are looking at whether you can articulate the LLM attack surface and show work against systems you were authorised to test — which is available to you now, free, and is what these exams assess anyway. Our cybersecurity guide covers the foundational exams worth taking alongside them.
What is adversarial machine learning?
The study of attacks on AI systems and their defences: evading classifiers, poisoning training data, extracting models or sensitive data, and manipulating LLMs through crafted inputs. MITRE ATLAS catalogues the techniques with real-world case studies, in the same structure ATT&CK uses for conventional attacks.
The ATT&CK structure is the practical reason to start there rather than with a course. If you already navigate ATT&CK, ATLAS needs no new mental model — same tactics-and-techniques layout, different subject — so a security professional can be usefully fluent in a few evenings. It also gives you shared vocabulary with the rest of your team, which matters more than depth when you are the first person in an organisation looking at this.
Does CISSP or Security+ cover AI security?
Increasingly — AI topics are entering the major bodies of knowledge and continuing-education catalogues. They establish the security fundamentals AI work builds on, but neither yet substitutes for dedicated study of the LLM-specific attack surface.
The fundamentals transfer further than people expect, though, which is worth saying to anyone worried they are starting over. Threat modelling, least privilege, input validation and defence in depth all apply directly — an LLM with tool access is a system with an untrusted input path and excessive permissions, which is a problem shape you already know. What is genuinely new is that the input and the instructions travel in the same channel, and there is no reliable way to separate them.
Is there free AI security training?
Yes — the best material is free: OWASP's LLM application security guidance, MITRE ATLAS, and hands-on prompt-injection playgrounds and AI-focused CTF challenges. The paid layer adds structure, not access.
The playgrounds are the part to prioritise. Reading about prompt injection produces a false sense of understanding; spending an evening actually getting a deliberately hardened system to ignore its instructions produces the real thing, and it takes less time than a course chapter. It is also the only way to build an intuition for how creative these attacks get, which no written taxonomy conveys. Use systems built for the purpose, never someone else's production deployment.
How do I get into AI red teaming?
From an existing security or offensive-security base: learn the LLM attack classes from OWASP and ATLAS, practise legally in playgrounds and CTFs, and document engagements against systems you are authorised to test. Red-team hiring runs on demonstrated capability; the AI layer follows the same rule with fresher material.
Authorisation is not a formality in this field and the boundary is easy to cross by accident. Probing a public chatbot for weaknesses is testing somebody's production system without permission, however research-like it feels, and a write-up of it is evidence rather than a portfolio piece. Use purpose-built targets, CTFs and systems you own or have written permission for — the discipline of staying inside scope is itself part of what makes someone hireable here.
Keeping this current. Course formats, prices, and certification exam fees change and vary by region. We review our guides regularly, and we always recommend confirming the specifics on the provider's official page before you enrol.