VEXAAcademy
AI Security · Job‑Ready

AI Security Foundations (Job‑Ready)

For Freshers → AI Security → Security Engineer

Learn practical AI security basics recruiters expect: LLM risks, safe usage, testing mindset, and governance basics.

Online · Instructor-led
Apply for next cohort See what you’ll learn

Quick facts

  • ModeOnline · Instructor-led
  • Fees₹40,000
  • Duration6 weeks
  • ScheduleWeekends (Live)
  • Next CohortFeb 2026 · Enrolling now
  • LevelJob-ready foundations → real-world practice
  • FocusSecurity thinking + hands-on method
Exact timings shared after enquiry (batch slots limited).
AI Security Foundations (Job‑Ready) badge

Job outcomes (what you’ll be confident in)

A practical baseline for entry-level AI Security roles.

✓
Understand real LLM risks
Prompt injection, data leakage, unsafe tool use, and hallucination impact.
✓
Test AI features safely
Evaluate outputs, boundaries, and abuse cases in a controlled way.
✓
Secure RAG & data access
Know where sensitive data leaks happen and how to prevent it.
✓
Apply basic guardrails
Input/output controls, logging, and safe defaults.
✓
Communicate AI findings
Write clear issues with evidence and practical fixes.
✓
Build job-ready clarity
Explain AI risk scenarios confidently in interviews.

Skill map (what recruiters actually test)

A practical capability map focused on method, evidence, and clear thinking.

LLM risk basics
Understand common failure modes and realistic abuse cases.
Prompt injectionData leakageTool misuseHallucinations
RAG & data access
Know where retrieval pipelines leak and how to harden access.
RAGContext limitsPII riskAccess control
Controls & guardrails
Practical safeguards and monitoring for production AI.
Input filtersOutput checksLoggingRate limits
Threat modeling
Map AI features into attack paths and trust boundaries.
AssetsEntry pointsAbuse casesImpact
Testing mindset
Evaluate behaviors with structured tests and evidence.
Test casesReproScreenshotsLogs
Reporting
Write AI security findings engineers can implement.
RiskEvidenceFixesAcceptance criteria

You’ll learn a repeatable workflow, clean evidence habits, and a report style recruiters trust.

What you’ll practice (safe, guided)

Hands‑on tasks in controlled labs and demo environments.

Prompt boundary testing
Safe prompt injection drills on a demo assistant.
RAG leakage lab
Identify where retrieval can expose sensitive data (safe demos).
Guardrails review
Input/output checks + logging and safe defaults checklist.
AI security findings
Write 2 sample issues with evidence and guardrail fixes.

Roles this prepares you for

VAPT Intern / TraineeAssociate Pentester (Entry)Junior Security AnalystAppSec Trainee (Foundation)

What you get with enrollment

Enquiry

Interested in joining this course? Submit your enquiry below. We will personally review your details and connect with you regarding batch availability and next steps.

Important Note

Use non-sensitive data only. Practice is done with safe demos — no confidential prompts, no real customer data.