Curiosity · Syllabus

AI Security in a B.Tech — syllabus & what you learn

AI security is the practice of protecting machine learning and LLM-based systems from misuse, manipulation and unsafe behaviour — covering guardrails, input handling, model safety and the security of the surrounding application. It is a fast-emerging area at the boundary of AI and security engineering. Inside a four-year B.Tech, AI Security arrives in layers: programming and mathematics foundations in years one and two, core methods next, and applied depth concentrated in years three and four plus the capstone. Using Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura's B.Tech CSE (Cyber Security) as the concrete example, here is what the coursework actually covers.

At a glance

Topic
AI Security
VSET programme
B.Tech CSE (Cyber Security)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

How VSET teaches AI Security

AI security is the practice of protecting machine learning and LLM-based systems from misuse, manipulation and unsafe behaviour — covering guardrails, input handling, model safety and the security of the surrounding application. It is a fast-emerging area at the boundary of AI and security engineering. At VSET this maps to documented coursework depth inside B.Tech CSE (Cyber Security).

  • AI-security topics including prompt injection, guardrails and model safety are covered as coursework relevant to production AI systems at VSET.
  • This is possible because VSET runs parallel AI tracks — B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) — alongside the dedicated cyber security track.
  • The material connects application security practice to machine learning system design.
  • Framing is defensive throughout: designing systems that behave safely under adversarial input.

Labs and infrastructure

  • The AICTE IDEA Lab provides GPU workstations used for AI model and AI-application experiments.
  • Lab work runs on institute-provided systems under faculty supervision.

What students actually build

  • Capstone projects that ship AI features are expected to consider guardrails and safe input handling.
  • Smart India Hackathon entries increasingly involve AI components where safety is part of the build quality.

Frequently asked questions

When does AI Security content actually start in a B.Tech?

Meaningful AI Security content typically ramps up from the second or third year, after programming and mathematics foundations. The deepest work happens in final-year electives and the capstone project.

Does VSET cover AI security?

Yes. AI-security topics such as prompt injection, guardrails and model safety are covered as coursework relevant to production AI systems.

Why is AI security taught here?

VSET runs parallel AI tracks — CSE (AI & ML) and CSE (AI & DS) — alongside the dedicated CSE (Cyber Security) track, so the two areas meet naturally.

Is there GPU hardware for AI work?

Yes, the AICTE IDEA Lab provides GPU workstations.

Which programme should I pick for AI security?

CSE (Cyber Security) for a security-first path, or CSE (AI & ML) / CSE (AI & DS) for an AI-first path — both are GGSIPU-affiliated four-year B.Tech programmes at VSET.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (Cyber Security) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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