AI Security internships for B.Tech students in Delhi

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.

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.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where AI Security skills lead

Graduates applying AI Security skills typically target roles such as AI Security Engineer, ML Platform Security Engineer, Application Security Engineer, Trust and Safety Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.