AI Security Research Intern

Position: AI Security Research InternLocation: Remote/HybridDuration: 3–6 MonthsDepartment: AI Security & ResearchReporting To: Lead – AI Security EngineeringStipend: INR 12000/MonthAbout 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 ResearchExplore 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 AnalysisPerform end-to-end analysis of each AI service to understand:Service purpose and architectureSupported models (e.g., GPT-3.5, GPT-4, custom models, vision models)Input/Output behaviorSecurity features, guardrails, and content-safety modules3. API & SDK EnumerationIdentify 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 AnalysisExtract and analyze metadata for AI services, including:Model versionsDeployment regionNetwork configurationAccess control settingsLogging and monitoring settings5. Misconfiguration DetectionEvaluate AI service configurations to detect:Access control weaknessesUnrestricted endpoint exposureLack of content-safety controlsImproper network/firewall settingsWeak authentication mechanismsDocument findings with clear pass/fail criteria.6. Security Control DevelopmentConvert metadata analysis into testable security controls for AI security evaluation.Create baseline security benchmarks for AI services across cloud providers.7. Threat ModelingConduct threat modeling for AI systems, focusing on:Model misuse and prompt-based attacksData poisoning risksModel inversionUnauthorized accessAbuse of deployed AI endpointsPropose mitigations based on recognized AI threat frameworks.8. Hands-On Research & PrototypingBuild 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 SkillsBasic 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 SkillsStrong 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.