AI Security Research Intern

Position :

AI Security Research Intern

Location : Remote / Hybrid

Duration : 3–6 Months

Department :

AI Security & Research

Reporting To :

Lead – AI Security Engineering

Stipend : INR 12000 / Month

About Us :

Bulwarkers specializes in providing comprehensive cybersecurity solutions, offering expertise in Vulnerability Assessments and Penetration Testing, and strategic security measures.

Role Overview :

We are looking for a highly motivated

AI Security Research Intern

to join our AI Security Engineering team. The intern will work on researching security aspects of AI and Machine Learning services across major cloud platforms. This role offers hands-on exposure to real-world AI services, cloud platforms, security assessment techniques, and threat modeling—contributing directly to the development of our AI Security Posture Management (AI-SPM) framework.

Key Responsibilities :

1. Cloud AI Services Research

Explore and document AI / ML services across

Azure, AWS, Google Cloud, and other major cloud providers

Identify active and inactive AI services within cloud environments and collect deployment details (resource ID, instance type, metadata, guardrails, and related configurations).

2. Technical Deep-Dive Analysis

Perform end-to-end analysis of each AI service to understand :

Service purpose and architecture

Supported models (e.g., GPT-3.5, GPT-4, custom models, vision models)

Input / Output behavior

Security features, guardrails, and content-safety modules

3. API & SDK Enumeration

Identify available APIs, endpoints, parameters, and response patterns for each AI service.

Explore official SDKs (Python, Node.js, Go, etc.) and understand authentication mechanisms.

4. Metadata & Configuration Analysis

Extract and analyze metadata for AI services, including :

Model versions

Deployment region

Network configuration

Access control settings

Logging and monitoring settings

5. Misconfiguration Detection

Evaluate AI service configurations to detect :

Access control weaknesses

Unrestricted endpoint exposure

Lack of content-safety controls

Improper network / firewall settings

Weak authentication mechanisms

Document findings with clear pass / fail criteria.

6. Security Control Development

Convert metadata analysis into

testable security controls

for AI security evaluation.

Create baseline security benchmarks for AI services across cloud providers.

7. Threat Modeling

Conduct

threat modeling for AI systems

, focusing on :

Model misuse and prompt-based attacks

Data poisoning risks

Model inversion

Unauthorized access

Abuse of deployed AI endpoints

Propose mitigations based on recognized AI threat frameworks.

8. Hands-On Research & Prototyping

Build minimal PoCs to test API behaviors, content-safety features, and service guardrails.

Validate security findings using SDKs, scripts, Postman, and cloud CLI tools.

Qualifications : Technical Skills

Basic understanding of

cloud platforms

(Azure / AWS / GCP).

Good programming knowledge in

Python or Node.js

Familiarity with REST APIs and SDK usage.

Understanding of AI / ML concepts (models, training, inference).

Knowledge of authentication (OAuth2.0, API Keys, IAM roles) is a plus.

Security Skills (Preferred)

Understanding of cloud security fundamentals.

Familiarity with security misconfigurations and risk assessment.

Basic knowledge of AI security concepts (prompt injection, data leakage, etc.) is preferred but not mandatory.

Soft Skills

Strong analytical and problem-solving ability.

Good research and documentation skills.

Ability to work independently and meet research deadlines.

What You Will Learn :

Deep understanding of AI security across cloud ecosystems.

Hands-on experience with Azure OpenAI, AWS Bedrock, GCP Gemini, and other AI services.

Real-world exposure to AI misconfigurations and threat modeling.

Building security controls, benchmarks, and testable validations for AI services.

Developing automation scripts for cloud and AI security checks.

Ideal Candidate :

This role is ideal for students or early-career professionals passionate about

AI, security, and cloud technologies

, and who want to build a career in the emerging field of

AI Security and AI Governance

How to Apply :

If you’re passionate about this role and want to be part of an innovative team, apply now through LinkedIn or send your resume to

career@bulwarkers.com