Top 10 AI & LLM security certifications in India (2026), at a glance
Quick answer: The best AI and LLM security certifications in India in 2026, in roughly the order you would pursue them, are CompTIA Security+, EC-Council CEH v13 (AI-Powered Certified Ethical Hacker), OffSec OSCP (PEN-200), The SecOps Group Certified AI/ML Pentester (C-AI/MLPen), Practical DevSecOps CAISP (Certified AI Security Professional), OffSec OSWE (WEB-300), The SecOps Group Certified Agentic AI Pentester (C-AgAIPen), SANS/GIAC AI suite, CertNexus CAISS & AWS Generative AI security and ISACA AAISM (Advanced in AI Security Management).
- CompTIA Security+
- EC-Council CEH v13 (AI-Powered Certified Ethical Hacker)
- OffSec OSCP (PEN-200)
- The SecOps Group Certified AI/ML Pentester (C-AI/MLPen)
- Practical DevSecOps CAISP (Certified AI Security Professional)
- OffSec OSWE (WEB-300)
- The SecOps Group Certified Agentic AI Pentester (C-AgAIPen)
- SANS/GIAC AI suite
- CertNexus CAISS & AWS Generative AI security
- ISACA AAISM (Advanced in AI Security Management)
| # | Certification | Level | Best for |
|---|---|---|---|
| 1 | CompTIA Security+ | Foundational (first security credential) | Beginners building the base before an AI/LLM-security specialisation |
| 2 | EC-Council CEH v13 (AI-Powered Certified Ethical Hacker) | Early-career (broad, AI-powered ethical hacking) | Beginners who want a recognised, AI-aware ethical-hacking credential first |
| 3 | OffSec OSCP (PEN-200) | Core practical (penetration testing) | Aspiring AI/app pentesters building real, provable exploitation skill |
| 4 | The SecOps Group Certified AI/ML Pentester (C-AI/MLPen) | Practical (AI/ML & LLM penetration testing) | Testers and bug-bounty hunters specialising in LLM/AI attacks |
| 5 | Practical DevSecOps CAISP (Certified AI Security Professional) | Practitioner (applied AI/ML security) | Engineers securing the AI/LLM build-and-deploy pipeline |
| 6 | OffSec OSWE (WEB-300) | Flagship / advanced (offensive web, white-box) | Experienced testers moving into AI-application and product security |
| 7 | The SecOps Group Certified Agentic AI Pentester (C-AgAIPen) | Frontier specialist (agentic-AI security) | Testers extending LLM security into autonomous AI agents |
| 8 | SANS/GIAC AI suite | Premium / senior (AI platform security · offensive AI) | Experienced practitioners targeting senior AI-security or consultancy roles |
| 9 | CertNexus CAISS & AWS Generative AI security | Practitioner / cloud (applied AI security) | Cloud and platform engineers securing GenAI workloads |
| 10 | ISACA AAISM (Advanced in AI Security Management) | Advanced / senior (AI-security governance) | Managers, architects and CISOs owning AI-security governance |
Artificial intelligence is now inside almost every product India ships — and that has opened an entirely new attack surface: prompt injection, training-data poisoning, model theft, insecure LLM output handling and autonomous-agent abuse. As Indian enterprises, GCCs, startups and the public sector race to deploy generative AI through 2026 (under DPDP-era data rules), demand for people who can secure — and safely attack — AI and LLM systems is climbing fast, and a wave of brand-new certifications has appeared to validate the skill. This guide ranks the 10 best AI and LLM security certifications for India in 2026, in roughly the order you would actually pursue them — foundation, then AI-aware ethical hacking, then the dedicated AI/LLM pentest and application-security path, then premium, cloud and governance specialisms. For each you get what it is, why an AI-security career cares, who it is for, an honest take, and how to train for it.
An important honesty note: AI security is a new field, and Macksofy does not yet run a dedicated AI-security course. So only four of these ten map to Macksofy programs (Security+, CEH v13, OSCP and OSWE) as things you can train for with us. The other six — the SecOps Group’s C-AI/MLPen and C-AgAIPen, Practical DevSecOps’ CAISP, the SANS/GIAC AI suite, CertNexus CAISS and AWS’s GenAI security path, and ISACA’s AAISM — are included because they genuinely matter to an AI-security career; each of those entries says plainly that Macksofy does not offer it and points you to the nearest Macksofy program that builds the underlying, transferable skill. These certifications are also changing fast and several are brand new, so always confirm current exam codes, prerequisites and pricing with the certifying body before you book.
How to read this list (an AI-security path)
You do not need all ten. A realistic AI-security path looks like this: build a foundation (Security+), get broad, AI-aware ethical-hacking context and HR recognition (CEH v13), earn the hands-on pentest base everything else assumes (OSCP), then take the dedicated AI/LLM path that is the heart of this list — a practical AI/ML pentest credential (C-AI/MLPen) or a pipeline-security one (CAISP), grounded in the deep, transferable web-exploitation skill of OSWE because LLM apps are web apps. Add frontier (agentic-AI), premium (GIAC), cloud (CAISS/AWS) or governance (AAISM) credentials later, in the direction you enjoy. The golden rule: AI security is hired on demonstrable, hands-on ability, so pair every certification with real lab work — a documented prompt-injection chain is worth more in an interview than another multiple-choice pass. If you are new to the underlying vulnerability classes, read our OWASP Top 10 for LLMs series alongside this guide.
1. CompTIA Security+
Level: Foundation · the security baseline under AI security. Not an AI certification, but the vendor-neutral base every AI-security role assumes — the vulnerability classes, secure-design principles, identity and cryptography that the LLM-specific attacks later on this list build on. Start here if you are new.
What it is. Security+ is CompTIA’s entry-level, vendor-neutral cybersecurity certification. Its syllabus covers attacks and vulnerabilities, secure architecture and design, identity and access management, and cryptography — the conceptual scaffolding under everything an AI-security specialist does, from threat-modelling an LLM application to reasoning about data governance.
Why an AI-security beginner cares. Almost every “AI security” problem is a security problem first: access control, data exposure, input trust, supply chain. Security+ gives you that shared language so the AI-specific certifications later on this list land instead of overwhelming you. For Indian freshers it is also the credential most job descriptions list as a baseline, so it opens the door while you specialise into AI and LLM security.
| Level | Foundational (first security credential) |
| Exam format | One exam (SY0-701), performance-based + multiple-choice |
| Best for | Beginners building the base before an AI/LLM-security specialisation |
Build it. Macksofy runs CompTIA Security+ as an independent exam-prep bootcamp with labs. If you are completely new to the field, our beginner certifications guide maps the full on-ramp before you specialise.
Honest take. Security+ will not get you an AI-security job on its own — it is scaffolding. Skip it only if your fundamentals are already solid, and go straight to CEH v13 and the hands-on AI/web ladder.
2. EC-Council CEH v13 (AI-Powered Certified Ethical Hacker)
Level: Early-career · ethical hacking, now with an AI core. The most HR-recognised ethical-hacking certification in India, and version 13 is built around AI — both using AI to hack and hacking AI systems. The natural, well-known first step for anyone moving toward offensive AI and LLM security.
What it is. Certified Ethical Hacker (CEH v13) is EC-Council’s broad offensive-security certification covering the full attack lifecycle — reconnaissance, scanning, exploitation and post-exploitation. Version 13 is explicitly positioned as “AI-powered”: it weaves AI-driven techniques through the hacking workflow and adds coverage of attacks against AI systems, alongside the classic web, network, wireless and cloud modules.
Why an AI-security beginner cares. CEH is not deep AI-security specialism, but it is the certification Indian HR filters recognise instantly, and v13 is the most accessible on-ramp that treats AI as a first-class attack surface rather than an afterthought. It gives you a structured first pass over offensive techniques — including how AI both accelerates attacks and becomes a target — before you go deep with the dedicated AI/LLM pentest exams later on this list.
| Level | Early-career (broad, AI-powered ethical hacking) |
| Exam format | One exam (312-50); optional practical exam; lab-oriented training |
| Best for | Beginners who want a recognised, AI-aware ethical-hacking credential first |
Build it. Macksofy delivers CEH v13 with labs as an EC-Council Accredited Training Center. Treat it as breadth and AI awareness; then specialise with the dedicated AI/LLM pentest and application-security credentials below.
Honest take. CEH v13’s AI framing is real but broad, not deep AI-security specialism. It clears HR filters and makes AI a first-class part of the syllabus, but the roles that pay for AI-security depth want the dedicated AI/LLM pentest and application-security credentials — treat CEH as an AI-aware stepping stone.
3. OffSec OSCP (PEN-200)
Level: Core · the hands-on pentest base. The industry-standard practical penetration-testing certification. It is not AI-specific, but its 24-hour proctored exam and ‘try harder’ methodology build the exploitation and reporting discipline that every serious AI-application pentest assumes underneath.
What it is. Offensive Security Certified Professional (OSCP), earned through PEN-200, is a fully hands-on penetration-testing certification. Its exam is a gruelling 24-hour practical in which you compromise live machines and then write a professional report. Web exploitation is a significant part of the syllabus — and since almost every LLM product ships as a web or API application, that web-and-API foothold skill maps straight onto AI-application testing.
Why an AI-security practitioner cares. Testing an AI system is still testing software — you enumerate, find the injection point (which now might be a prompt), exploit, pivot and document. OSCP is where you stop reading about vulnerabilities and start proving you can chain them under time pressure. In the Indian market it is the single most requested practical credential for penetration-testing and application-security roles, which is why it sits at the base of the path toward AI/LLM pentesting rather than off to the side.
| Level | Core practical (penetration testing) |
| Exam format | 24-hour hands-on proctored exam + professional report |
| Best for | Aspiring AI/app pentesters building real, provable exploitation skill |
Build it. Macksofy runs OSCP / PEN-200 as an exam-prep bootcamp with 50+ hours of labs. See where pentest and AI-security roles rank on pay in our highest-paying cybersecurity jobs guide.
Honest take. OSCP is not an AI certification, but skipping the exploitation discipline it builds is why many people stall the moment an AI pentest becomes a real app assessment. For most Indian AI-security careers, OSCP first, then the AI/LLM-specific credentials, is the path that actually works.
4. The SecOps Group Certified AI/ML Pentester (C-AI/MLPen)
Level: Practical · dedicated AI & LLM pentest. The cleanest dedicated, hands-on AI/LLM penetration-testing certification available today — a practical, CTF-style exam focused on prompt injection, data leakage and the OWASP Top 10 for LLM Applications. Best value for the offensive AI audience.
What it is. The Certified AI/ML Pentester (C-AI/MLPen) from The SecOps Group is a practical, capture-the-flag-style exam that tests your ability to find and exploit vulnerabilities in machine-learning models and large-language-model applications — prompt injection, sensitive-information disclosure, model misconfiguration and other classes from the OWASP Top 10 for LLM Applications. Reports describe a timed hands-on exam in which you must make AI models reveal secrets across several challenges to pass. The SecOps Group provides the exam and a syllabus rather than a full training course.
Why an AI-security practitioner cares. This is one of the first credentials that is genuinely about attacking AI systems, not adjacent to it — and it is inexpensive and entirely practical, which makes it a strong signal-to-cost entry point for testers and bug-bounty hunters moving into LLM security. It is pitched at intermediate level and assumes some prior pentesting experience, so it pairs best with an existing hands-on foundation like OSCP or the OffSec web ladder.
| Level | Practical (AI/ML & LLM penetration testing) |
| Exam format | Timed, CTF-style hands-on online exam; exam-only (syllabus provided) |
| Best for | Testers and bug-bounty hunters specialising in LLM/AI attacks |
Note on training. Macksofy does not offer C-AI/MLPen. The underlying skill it validates is web/API exploitation applied to LLM apps — exactly what our OffSec web ladder builds. Start with OSWA / WEB-200 for hands-on OWASP-driven web attacks (prompt injection lives at the application layer), and study the vulnerability classes in our OWASP Top 10 for LLMs series before you sit it.
Honest take. C-AI/MLPen is arguably the best signal-to-cost credential here for hands-on AI hacking — dedicated, practical and inexpensive. It just assumes prior pentest experience and is exam-only, so pair it with real web/API testing reps (OSWA) and the OWASP LLM Top 10 rather than treating it as a from-scratch course.
5. Practical DevSecOps CAISP (Certified AI Security Professional)
Level: Practitioner · broad, hands-on AI security. A hands-on, technical AI-security certification that spans the whole ML/LLM pipeline — threat modelling, secure MLOps, model and data security, and LLM-application defence. Broader than a pure pentest cert, aimed at practitioners who build and secure AI systems.
What it is. The Certified AI Security Professional (CAISP) from Practical DevSecOps is a technical, lab-oriented certification covering AI and LLM security across the lifecycle: AI/ML threat modelling, adversarial attacks, model and training-data security, secure MLOps, and defending LLM applications against the OWASP LLM Top 10. It is positioned as the hands-on, practitioner counterpart to management-focused AI credentials.
Why an AI-security practitioner cares. Not every AI-security role is offensive — many are about securing the pipeline that trains, deploys and serves models. CAISP targets that build-and-defend audience: DevSecOps engineers, ML engineers and security engineers who need to bake security into AI systems rather than only attack them. As Indian product and GCC teams stand up GenAI features under DPDP-era data rules, this pipeline-security skill set is in fast-rising demand.
| Level | Practitioner (applied AI/ML security) |
| Exam format | Hands-on / lab-based assessment; self-paced training |
| Best for | Engineers securing the AI/LLM build-and-deploy pipeline |
Note on training. Macksofy does not offer CAISP. If your path is the defensive, build-side of AI security, pair secure-engineering practice with real attacker context — understanding how LLM apps are broken makes you secure them better. Our OSWE / WEB-300 (white-box web exploitation) and SOC-200 (defensive analysis) programs build that dual perspective.
Honest take. CAISP is for the build-and-defend side of AI security, not pure attack — invaluable if you own an ML/LLM pipeline, less relevant if your goal is red-teaming models. The strongest AI-security engineers understand both; pairing pipeline security with an offensive credential is the winning combination.
6. OffSec OSWE (WEB-300)
Level: Flagship · white-box exploitation of AI-powered apps. The premier advanced web-security certification — white-box source-code review and working-exploit development. Because virtually every LLM product is a web/API application, OSWE is the deepest transferable skill under serious AI-application security, and the flagship Macksofy program on this list.
What it is. The OffSec Web Expert (OSWE), earned through WEB-300 (Advanced Web Attacks and Exploitation), is an advanced, white-box web-security certification. You are given application source code and must analyse it, find the vulnerabilities and write reliable exploits — authentication bypasses, injection-to-RCE chains, deserialization flaws — culminating in a brutal 48-hour practical exam plus report.
Why an AI-security practitioner cares. LLM applications are web and API applications with a model bolted in: the prompt-injection, insecure-output-handling, SSRF and supply-chain risks in the OWASP LLM Top 10 mostly live in the surrounding application code, not the model weights. OSWE’s white-box, source-to-exploit skill is exactly what it takes to review an AI product’s codebase and prove impact — the scarce, highly paid capability India’s GenAI-building product and SaaS sector is short of. It is the summit of the transferable-skill ladder toward AI-application security.
| Level | Flagship / advanced (offensive web, white-box) |
| Exam format | 48-hour hands-on practical exam + professional report |
| Best for | Experienced testers moving into AI-application and product security |
Build it. Macksofy delivers OSWE / WEB-300 as an exam-prep bootcamp with source-review and exploit-dev labs. Do OSWA first; OSWE is the highest-leverage credential here for anyone reviewing and securing AI-powered applications. See how it applies in our web application security certifications guide.
Honest take. OSWE is genuinely hard and genuinely valuable — and because LLM products are web apps, it is the deepest transferable skill on this list for AI-application security. Earn OSWA and get real testing reps first; rushed, it will outrun your experience.
7. The SecOps Group Certified Agentic AI Pentester (C-AgAIPen)
Level: Frontier · attacking autonomous AI agents. An emerging, hands-on certification for the newest AI attack surface — autonomous, tool-using AI agents. Where C-AI/MLPen covers LLM apps, C-AgAIPen targets agentic systems that plan, call tools and act, which introduce whole new abuse paths.
What it is. The Certified Agentic AI Pentester (C-AgAIPen), also from The SecOps Group, is a practical, hands-on certification focused on the security of agentic AI — systems where an LLM plans, invokes tools and takes actions with a degree of autonomy. It extends AI pentesting beyond single-prompt attacks into how agents can be manipulated through their tools, memory, and multi-step reasoning. It is positioned as an accessible, exam-first credential.
Why an AI-security practitioner cares. Agentic AI is where 2026 is heading — copilots and autonomous agents wired into real tools and data. That autonomy creates new abuse paths (tool misuse, prompt-injection-to-action chains, excessive agency) that traditional app testing does not cover. Being early on this frontier is a genuine differentiator, especially as Indian enterprises pilot agentic workflows. Treat it as a specialisation to layer on after you can already test ordinary LLM applications.
| Level | Frontier specialist (agentic-AI security) |
| Exam format | Hands-on practical online exam; exam-first, accessible pricing |
| Best for | Testers extending LLM security into autonomous AI agents |
Note on training. Macksofy does not offer C-AgAIPen — it is a bleeding-edge, exam-only credential. The prerequisite skill is being able to test the app and API layer an agent runs on; build that with our OSWE and OSWA web ladder, and follow the evolving threat classes in our AI-powered cyber threats guide.
Honest take. C-AgAIPen is bleeding-edge and the surface it covers is still stabilising, so value it as an early-mover differentiator rather than a job requirement yet. Do not start here — you need to be able to test ordinary LLM apps before agentic ones make sense.
8. SANS/GIAC AI suite — GAIPS & GOAA
Level: Premium · AI platform security and offensive AI. GIAC’s new SANS-aligned AI certifications — GAIPS (AI Platform Security: auditing and securing GenAI apps and LLM pipelines) and GOAA (Offensive AI Analyst). Premium, lab-based, senior-tier signals, usually mid-career and often employer-funded.
What it is. SANS and GIAC are rolling out a suite of AI-focused certifications built around live-lab, adversary-informed exams. The most relevant here are GAIPS (GIAC AI Platform Security) — validating the ability to audit and secure generative-AI applications and LLM development pipelines — and GOAA (GIAC Offensive AI Analyst) — validating offensive AI techniques such as automated vulnerability discovery and AI-driven attack simulation. Related credentials in the family cover AI security automation and machine-learning engineering. Availability and exam dates are new for 2026, so confirm current status with GIAC.
Why an AI-security practitioner cares. GIAC/SANS credentials are premium, senior-tier signals — they tell consultancies and global capability centres in India that you can run a rigorous, methodical AI-security assessment or offensive AI engagement end to end. The trade-off is cost: SANS/GIAC training and exams are among the most expensive in the field, so these are typically pursued mid-career and often employer-funded, after you already have hands-on experience behind you.
| Level | Premium / senior (AI platform security · offensive AI) |
| Exam format | Proctored GIAC exams with live labs; SANS-aligned training |
| Best for | Experienced practitioners targeting senior AI-security or consultancy roles |
Note on training. Macksofy does not offer the GIAC AI certifications — they are included as benchmark premium credentials. For the same underlying hands-on skill on an accredited, far more affordable path, build offensive-AI-relevant depth through OSWE and pentest breadth through CPENT first, then target GIAC when an employer will sponsor it.
Honest take. The GIAC AI certifications are excellent but expensive, and much of the premium is the SANS brand and their newness. If an employer funds one, take it; if you are self-funding, the OffSec ladder delivers most of the practical, transferable skill for a fraction of the cost and travels well in India.
9. CertNexus CAISS & AWS Generative AI security
Level: Practitioner / cloud · vendor AI-security paths. Two accessible, industry-backed routes: CertNexus’s Certified AI Security Specialist (CAISS) practitioner track, and AWS’s rebuilt generative-AI and security portfolio (Generative AI Developer plus the refreshed Security – Specialty). Good fits if your AI runs on a specific cloud.
What it is. Two vendor and industry-body options. CertNexus CAISS (Certified AI Security Specialist) is a practitioner-focused workshop-and-exam track that teaches securing AI systems in enterprise settings. AWS has rebuilt its portfolio around generative AI — a Generative AI Developer credential plus a refreshed Security – Specialty (SCS-C03) exam — so cloud engineers can validate securing AI workloads on AWS specifically. Confirm current exam codes and availability with each provider.
Why an AI-security practitioner cares. Most real AI systems in India run on a major cloud, and a lot of AI-security work is really cloud-security work applied to model endpoints, data pipelines and identity. These credentials suit engineers who already live in a cloud platform and want to formalise securing GenAI workloads there. CAISS is a broader, vendor-neutral practitioner signal; the AWS path is deep but platform-specific. Choose based on where your organisation actually deploys.
| Level | Practitioner / cloud (applied AI security) |
| Exam format | Workshop + exam (CAISS); proctored specialty exams (AWS) |
| Best for | Cloud and platform engineers securing GenAI workloads |
Note on training. Macksofy does not offer CAISS or the AWS AI exams. If your route into AI security is through cloud, ground it in strong security fundamentals first — our Security+ program builds the vendor-neutral base, and the SOC / blue-team certifications guide maps the defensive and cloud-monitoring skills that AI-workload security leans on.
Honest take. CAISS and the AWS AI path are most valuable when they match your actual stack — pick the AWS route only if your organisation runs AI on AWS. If you are still deciding a direction, invest in vendor-neutral fundamentals first; cloud-specific AI credentials pay off fastest once you know where you will deploy.
10. ISACA AAISM (Advanced in AI Security Management)
Level: Advanced · AI-security governance & leadership. ISACA’s Advanced in AI Security Management — the first AI-centric security-management certification, aimed at senior leaders. It maps to the NIST AI RMF, ISO/IEC 42001, the OWASP LLM Top 10 and MITRE ATLAS, and requires an existing CISM or CISSP. The governance capstone of this list.
What it is. Advanced in AI Security Management (AAISM) is ISACA’s AI-security-management certification, introduced as the first credential of its kind. It is a strategic, governance-level qualification: managing AI risk, building AI-security programmes, and aligning to the frameworks enterprises and regulators are adopting — the NIST AI Risk Management Framework, ISO/IEC 42001, the OWASP Top 10 for LLM Applications and MITRE ATLAS. It is experience-gated: candidates must already hold an active ISACA CISM or (ISC)² CISSP. Confirm current fees and requirements with ISACA.
Why an AI-security practitioner cares. AAISM is where AI security meets leadership and compliance. It suits senior managers, security architects and CISOs who must define how an organisation governs AI — policy, risk, assurance and regulatory alignment — rather than perform hands-on testing. In India’s larger enterprises and GCCs, an AI-governance credential is a strong differentiator for a security-leadership track, and it complements, rather than competes with, the technical certifications above.
| Level | Advanced / senior (AI-security governance) |
| Exam format | Proctored exam; requires an active CISM or CISSP |
| Best for | Managers, architects and CISOs owning AI-security governance |
Note on training. Macksofy does not offer AAISM, CISM or CISSP; AAISM is an advanced, experience-gated leadership goal rather than a starting point. For the security-leadership direction, our EC-Council CCISO program builds executive-level security governance, and the hands-on ladder above (CEH v13, OSCP, OSWE) gives the technical grounding that credible AI-security leaders draw on.
Honest take. AAISM is a senior, governance-oriented capstone, not a beginner move — its CISM/CISSP prerequisite alone rules it out early. Set it as a multi-year target for an AI-security-leadership track, and build the technical and management foundation underneath it first.
Frequently Asked Questions
What is the best AI or LLM security certification to start with in India?
If you are new, start with CompTIA Security+ for fundamentals, then EC-Council CEH v13 — version 13 is AI-powered and treats AI as a first-class attack surface, which makes it the most HR-recognised AI-aware first step. When you are ready to specialise, the dedicated hands-on route is the SecOps Group’s Certified AI/ML Pentester (C-AI/MLPen), grounded in the web-exploitation skill of OffSec OSWE. You can train for the foundational and web credentials with Macksofy across India; see https://www.macksofytrainings.com/locations/.
Does Macksofy offer a dedicated AI security course?
Not yet — AI security is a new field and Macksofy does not currently run an AI-specific certification course. What Macksofy does offer are the programs that build the transferable skills AI-security roles are hired on: CompTIA Security+ for fundamentals, CEH v13 (AI-powered) for ethical-hacking breadth, OSCP for hands-on pentesting, and OSWA/OSWE for the web and API exploitation that LLM-application security is built on. Dedicated AI certs like C-AI/MLPen, CAISP and AAISM are earned directly with their certifying bodies; this guide points you to the nearest Macksofy program for each.
Why does a web certification like OSWE matter for AI and LLM security?
Because almost every LLM product is a web or API application with a model attached. Most of the risks in the OWASP Top 10 for LLM Applications — prompt injection, insecure output handling, server-side request forgery, supply-chain and excessive-agency issues — live in the surrounding application code, not the model weights. OSWE (WEB-300) teaches white-box source-review and exploit development, which is exactly the skill needed to audit an AI product’s codebase and prove impact. Train for it with Macksofy at https://www.macksofytrainings.com/courses/oswe-web-300-course-training-certification/.
Is the Certified AI/ML Pentester (C-AI/MLPen) worth it?
For hands-on testers moving into AI security, yes. C-AI/MLPen from The SecOps Group is one of the first genuinely dedicated AI/LLM pentest credentials — a practical, CTF-style exam covering prompt injection, data leakage and the OWASP LLM Top 10 — and it is inexpensive relative to the big-name exams, making it strong on signal-to-cost. It assumes prior pentesting experience and is exam-only (no full course), so pair it with real web/API testing reps and study of the OWASP LLM Top 10 before you sit it.
Which AI security certifications can I actually train for at Macksofy?
None are AI-specific, because Macksofy does not yet run a dedicated AI-security course. What you can train for are the four transferable-skill programs on this list: CompTIA Security+ (an independent exam-prep bootcamp), EC-Council CEH v13 (Macksofy is an EC-Council Accredited Training Center), and the OffSec exam-prep bootcamps for OSCP (PEN-200) and OSWE (WEB-300). The other six certifications — C-AI/MLPen, CAISP, C-AgAIPen, the GIAC AI suite, CertNexus CAISS / AWS GenAI, and ISACA AAISM — are not offered; each entry points you to the nearest Macksofy program to build the skill those credentials assume.
What is the difference between offensive AI certifications and AI-governance ones like AAISM?
Offensive AI certifications (C-AI/MLPen, C-AgAIPen, GIAC GOAA, and CEH v13’s AI modules) prove you can find and exploit vulnerabilities in AI and LLM systems — the break side. AI-governance certifications (ISACA AAISM) prove you can manage AI risk and build AI-security programmes aligned to frameworks like the NIST AI RMF, ISO/IEC 42001, the OWASP LLM Top 10 and MITRE ATLAS — the leadership side, and AAISM requires an existing CISM or CISSP. Which you prioritise depends on whether your career leans toward hands-on testing or security management.
Do I need to know how to code or do machine learning to work in AI security?
For the offensive and application-security side, strong web/API and scripting skills matter far more than deep machine-learning theory — you are usually attacking the application around the model. For the build-and-defend side (secure MLOps, pipeline security, credentials like CAISP), more ML and engineering background helps. A practical route for most people in India is to build hands-on pentesting and web-exploitation ability first (OSCP, OSWA, OSWE), then layer AI-specific knowledge on top through the OWASP LLM Top 10 and a dedicated AI-pentest credential.
How long does it take to move into an AI or LLM security role?
If you already have a security or pentesting foundation, adding AI-specific capability can take only a few focused months — study the OWASP Top 10 for LLM Applications, build lab reps against vulnerable LLM apps, and earn a dedicated credential like C-AI/MLPen. Starting from scratch, realistically plan 12–18 months: foundations and AI-aware ethical hacking (Security+, CEH v13), then the hands-on ladder (OSCP, OSWA, OSWE), then the AI specialisation. Documented exploits and write-ups matter more to Indian employers than exam count.
Start your AI-security path the right way
AI and LLM security rewards people who can prove what they can do, not just what they have passed — and because the field is so new, demonstrable skill counts for even more. Lay a security foundation, get broad, AI-aware ethical-hacking context with CEH v13, build the hands-on pentest base with OSCP, then climb the web-exploitation ladder that underpins AI-application security — OSWA / WEB-200 then OSWE / WEB-300 — before layering on a dedicated AI credential like C-AI/MLPen or CAISP. Macksofy delivers the foundational and web programs with labs, exam preparation and placement assistance across India — browse training in your city, follow the threat landscape in our AI-powered cyber threats guide and OWASP LLM Top 10 series, see where AI-security roles sit on pay in our highest-paying jobs guide, and map the wider field in our in-demand skills, web application security and beginner certifications guides.
Disclaimer: Certification names, exam codes, formats, prerequisites and pricing are set by the certifying bodies (CompTIA, EC-Council, OffSec, The SecOps Group, Practical DevSecOps, GIAC/SANS, CertNexus, AWS, ISACA) and — because AI security is a fast-moving, newly emerging field — change frequently; always confirm current details directly with them before booking. Macksofy Trainings is an EC-Council Accredited Training Center; our CompTIA and OffSec programs are independent exam-preparation bootcamps and are not affiliated with or endorsed by those vendors. The SecOps Group C-AI/MLPen and C-AgAIPen, Practical DevSecOps CAISP, the GIAC AI certifications, CertNexus CAISS, the AWS AI credentials and ISACA AAISM are referenced as benchmark certifications for which Macksofy does not currently offer a course. This guide profiles certifications and roles, not named individuals, and reflects general guidance rather than guaranteed employment or salary outcomes.
