AI Security & SecOps · Live online · 8 weeks · Mentor-led
AI Security & SecOps.
An 8-week, part-time live program for people who already have some IT, security or application background and want an advanced, lab-heavy path: securing AI and LLM applications, and using AI carefully inside security operations. You will threat-model and red-team chat, RAG and agent features, design guardrails and basic governance, then practise AI-assisted detection, triage and incident-response automation with a human approval step. Same length as our Cybersecurity with AI introduction, but built around labs, a scoped red-team and a SOAR-style playbook — not a first-pass survey.
- Threat-model and red-team an LLM or agent application against the OWASP Top 10 for LLM applications, in the lab
- Design practical guardrails, review steps and basic AI-governance artefacts a team can actually run
- Build SIEM/SOAR-style workflows that use AI for detection, triage and response — with approvals, verification and a kill switch
Part-time, live online · 8 weeks · 6–8 hours a week · Fees and EMI options shared on a counsellor call.
Live online · Mentor-led
- 8 weeksDuration
- 6–8 hours a weekTime commitment
- Part-time, live onlineFormat
- Recordings if you miss a sessionAttendance
Join live from anywhere. Weekend-morning batches are offered for learners in the US; evening batches (India time) for the Gulf and Africa; Europe-oriented groups typically meet after work and on Saturdays.
Outcomes
What you will be able to do.
These are skills and work products from the program — not placement, salary or promotion promises.
- 01
Produce a written threat model of a chat, RAG or agent feature mapped to the OWASP Top 10 for LLM applications
- 02
Run a scoped, documented red-team pass, including prompt injection and data-leakage tests, and record residual risk
- 03
Recommend and sketch guardrails: input and output review, least privilege for tools, fallbacks and a human approval step
- 04
Draft basic AI-governance artefacts: an acceptable-use note, a logging and review plan, and when to involve legal or compliance review
- 05
Design an AI-assisted detection or triage workflow in a SIEM-style setting, with every model claim verified against source evidence
- 06
Build a SOAR-style response playbook with approvals, least privilege, verification and a kill switch — not unsighted automation
- 07
Leave with a capstone pack: an LLM security assessment and a SecOps playbook, not a vendor or professional pentest certification
Who it's for
A good fit, and when it is not.
For people with some IT, security or application background; an advanced, lab-heavy path compared with our 8-week Cybersecurity with AI introduction
This program is for
- Security analysts, SOC, detection and incident-response professionals who want a lab-heavy path into AI-powered SecOps
- Software, platform and security engineers who ship chat, RAG or agent features and need to secure them in depth
- IT and security leads who need both LLM-application security labs and a practical SIEM/SOAR automation exercise with AI
- Learners who can commit 6–8 hours a week for 8 weeks, joining live from anywhere, and who already have some IT or security context
This program is not for
- People looking for an official CompTIA, SANS, GIAC, (ISC)² or government certificate. This program issues a Datamarcos certificate of completion
- Complete beginners who need a first course in cybersecurity fundamentals
- People who want a first introduction to AI in security. Our 8-week Cybersecurity with AI course is the lighter starting point
- People seeking placement or salary guarantees — we do not offer those
Starting point
- Some exposure to IT, networks, application logs, security operations or application development is expected
- No prior machine-learning or LLM-engineering experience is required
- You should be willing to inspect logs, prompts or playbooks and write down what you actually tested
- If you are new to both cybersecurity and AI applications, start with the 8-week Cybersecurity with AI introduction
Curriculum
Week by week, 8 weeks.
6–8 hours a week, live and mentor-led. Open a week for topics, labs and what you ship.
- How chat, retrieval and tool-using agents change the attack surface
- Walking the OWASP Top 10 for LLM applications as a working checklist, not as a certificate
- A lightweight threat-model method: assets, threats, existing controls, residual risk
- Picking one chat, RAG or agent feature you will carry through the labs
Projects
Work you can take with you.
LLM application threat model and red-team note
A written threat model mapped to the OWASP Top 10 for LLM applications, plus a scoped, documented red-team pass with residual risk.
Guardrails and governance pack
Input and output review, least-privilege tool use, a logging and review plan, and a short acceptable-use note. Not a legal or official compliance certificate.
Capstone: AI-assisted SecOps playbook
A verified triage or detection workflow and a SOAR-style response playbook with approvals, verification and a kill switch, presented with the LLM security assessment.
Tools
What you will practise with.
These are tools used in the sessions. Product and company names are trademarks of their respective owners and are shown for identification only; no affiliation is implied.
Frameworks and practice
- OWASP LLM Top 10
- Threat-model worksheets
- Red-team test plans
- Playbook templates
SecOps practice
- Python
- GitHub
AI assistants used with review
- ChatGPT
- Claude
Format and schedule
Part-time, live, with regional batches.
Part-time and live online, in a small mentor-led cohort. Weekend-morning batches are offered for learners in the US. Evening batches (India time) are offered for learners in the Gulf and Africa. Europe-oriented groups typically meet after work and on Saturdays. Recordings are shared if you miss a live session. Exact days, times and the next cohort date are confirmed on a counsellor call.
Join live from anywhere. Weekend-morning batches are offered for learners in the US; evening batches (India time) for the Gulf and Africa; Europe-oriented groups typically meet after work and on Saturdays.
Fees and EMI options shared on a counsellor call. A Datamarcos certificate of completion is awarded when you finish the program work. Cohort start dates are shared on a counsellor call — we do not publish a date until then.
Lead mentorMentor
Deepesh Mishra
Founder, Datamarcos · Solution Architect · Corporate Trainer · BITS Pilani alumnus
Deepesh is the founder and lead mentor at Datamarcos. He has worked as a solution architect and corporate trainer in data and AI, and has trained teams at 200+ organizations. Live sessions on this program are mentor-led, with practical, project-based delivery.
FAQ
Questions, answered.
Can't find yours? A counsellor will answer it on a short call.
How is this different from Cybersecurity with AI?
Both programs are 8 weeks and part-time. Cybersecurity with AI is the introduction: a first pass at AI in security operations and at securing LLM applications. AI Security & SecOps is the advanced, lab-heavy course. You spend more time in labs — prompt injection tests, a scoped red-team, guardrails you re-test, basic AI-governance artefacts, and a SIEM/SOAR-style detection, triage and incident-response playbook with approvals and a kill switch. If you want a first course, start with Cybersecurity with AI.
Is this an official CompTIA, SANS, GIAC or government certificate?
No. Completing the program leads to a Datamarcos certificate of completion. We use public frameworks such as the OWASP Top 10 for LLM applications, and we refer to maps such as the NIST AI Risk Management Framework, as working checklists. We do not award, and do not prepare you for, a third-party certification exam.
How long is the program and how much time does it take?
Eight weeks, part-time and live online, at about 6–8 hours a week including the live session and lab work.
Who is it for?
Security, SOC, detection and incident-response professionals, and engineers who ship LLM or agent features and need to secure them in depth. Some IT, logging or security exposure is expected. It is not a first course in cybersecurity fundamentals, and it is not the lighter introduction — that is Cybersecurity with AI.
Are the sessions live?
Yes. Sessions are live and mentor-led, with recordings if you miss a class. Weekend-morning batches are offered for learners in the US, with other regional times available. Exact times are confirmed on a counsellor call.
Will you teach a specific SIEM or SOAR product?
You will practise SIEM- and SOAR-style workflows — detection, triage, enrichment and playbooks with human gates — in a tool you can access or in a practice environment. Datamarcos is not a vendor for those products, and the program is not a vendor certification.
What about fees?
Fees and EMI options shared on a counsellor call.
Is there a refund policy?
Yes. Datamarcos has a 7-day refund policy. If the program is not right for you, ask within 7 days of enrollment.
The full program guide
Read the 8 weeks curriculum.
Modules, projects, tools and format in one PDF. No prices are listed; fees are shared on a counsellor call.
Full program guide
AI Security & SecOps brochure
Share your details once to read and download the complete syllabus.
Unlock the syllabusSmall-batch live cohorts
Secure AI systems, and use AI in the SOC with controls.
Share a few details. A counsellor will talk through your background, how this lab-heavy 8-week path compares with our Cybersecurity with AI introduction, the next cohort, fees and enrollment.
- Eight weeks, 6–8 hours a week, live and mentor-led
- Lab-heavy: LLM and agent application security plus AI-powered SecOps
- The advanced counterpart to the 8-week Cybersecurity with AI introduction
- Honest scope: not an official CompTIA, SANS or GIAC certificate, and no placement or salary guarantees
- Live, mentor-led sessions with Deepesh Mishra
- Honest outcomes: no placement or salary guarantees
- 7-day refund policy: not right for you? Ask within 7 days for a refund.
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