Cyber Security Intern

About the Role

We are seeking a proactive and technical Cybersecurity Intern to join our security team. In this role, you will help secure our cutting-edge software architecture, specifically focusing on our production-grade multi-agentic AI systems. You will gain hands-on experience identifying vulnerabilities, analyzing agent communication channels, evaluating guardrails, and enforcing security best practices across automated workflows, cloud environments, and backend infrastructure.

Key Responsibilities

• Multi-Agentic System Security: Assist in auditing, testing, and securing autonomous multi-agent interactions, APIs, and LLM orchestration layers.
• Vulnerability Assessment: Conduct baseline security scans, vulnerability assessments, and risk evaluations on cloud services, web applications, and internal tools.
• Agentic Guardrail Testing: Perform red-teaming and adversarial prompting (prompt injection, agent hi-jacking, tool abuse) to test safety guardrails around autonomous AI agents.
• Code & Architecture Review: Collaborate with engineering teams to review code and infrastructure configurations for security anti-patterns (OWASP Top 10, OWASP LLM Top 10).
• Threat & Event Monitoring: Help monitor application logs, SIEM dashboards, and anomaly detection alerts to identify suspicious behavior or unintended agent actions.
• Documentation & Compliance: Create security documentation, maintain incident response readiness playbooks, and assist in drafting security policies for AI system workflows.

Requirements & Tech Stack

• Fundamentals of penetration testing, ethical hacking, and vulnerability management.
• Hands-on familiarity with Kali Linux and its core security toolkit.
• Understanding of common web application vulnerabilities (SQLi, XSS, CSRF, SSRF, Broken Access Control).
• Knowledge of network security fundamentals (TCP/IP, HTTP/S protocols, DNS, firewalls, and VPNs).
• AI Security & Multi-Agentic Systems:
• Basic understanding of Multi-Agent AI architectures, LLMs, and agentic framework tools.
• Awareness of AI-specific threat vectors (OWASP Top 10 for LLMs), including Prompt Injection, Data Poisoning, Insecure Output Handling, and Excess Agency.
• Interest in testing guardrails, tool call permissions, and access controls between distributed autonomous agents.
• Technical & Development Background:
• Basic scripting and programming experience in Python, Bash, or JavaScript.
• Familiarity with REST APIs, JSON payloads, and microservice/cloud architecture security.
• Understanding of containerization security (Docker, Kubernetes) and CI/CD pipeline concepts.
• Linux system administration basics and command-line proficiency.

Qualifications

• Currently pursuing or recently graduated with a degree in Computer Science, Cybersecurity, Information Technology, or a related technical field.
• Strong problem-solving skills and a proactive "think like an attacker" mindset.
• Solid communication skills with the ability to clearly document security findings and remediation steps.
• High ethical standards and adherence to responsible disclosure practices.