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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Security Analyst - **Company:** Planetart LLC - **Location:** Woodridge, IL, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing Security, Code Generation, Code Review, Cyber Security, Programming Tools, Open Web Application Security, Secure Coding, Software Engineering, Software Vulnerability Management, Data Processing, Google Cloud, Large Language Models, Software Security, Generative AI, Cyber Threat Analysis, Agentic-AI, National Institute of Standards and Technology Cybersecurity Framework, GWAPT, AI Platforms, Information Technology, Static Application Security Testing, Dynamic Application Security Testing - **Published:** October 25, 2026 - **Apply:** https://www.thejobnetwork.com/job/ad5fb780-a71c-48ca-a76c-0094b8924ce1/application-security-analyst ## About the Role * Bachelor's degree in Computer Science, Cybersecurity, or equivalent experience. * 3-5 years of experience in application security, vulnerability management, or related role. * Hands-on experience with SAST/DAST tools (Snyk required; Semgrep preferred). * Knowledge of OWASP Top 10, CWE, and secure development practices. * Practical experience using generative AI tools or AI-assisted security and development tools, including writing effective prompts, verifying outputs, and recognizing inaccurate or unsupported results. * Working knowledge of large language models (LLMs), common AI application security risks, and controls such as input and output validation, access restrictions, and protection of sensitive data. * Ability to evaluate AI-generated code and security recommendations using manual review and established testing tools; understanding of responsible AI use and data handling requirements. * Familiarity with bug bounty platforms and coordinated vulnerability disclosure processes. * Understanding of threat intelligence processes and incident response workflows. * Strong written and verbal communication skills with the ability to collaborate across technical and business teams. * Preferred: Experience with cloud platforms (AWS, GCP, Azure), GRC frameworks (NIST CSF, ISO 27001, SOC 2), and professional certifications (GWAPT, OSWE, GWEB, CEH, CISSP). Familiarity with security testing of LLM applications, retrieval-augmented generation (RAG), AI agents, or AI service integrations is also preferred. ## Description PlanetArt is looking for an Application Security Analyst to support the company's Security Department. The successful candidate will be responsible for securing our applications by managing vulnerabilities identified through Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and other application security software (currently Snyk, with possible future use of Semgrep). This role will also oversee the Bug Bounty program, provide support for security notifications from the MSSP, conduct threat intelligence research, and contribute to governance, risk, compliance (GRC), cloud security, and third-party risk management activities. The analyst will use approved artificial intelligence (AI) tools to support security analysis and remediation, apply sound judgment to AI-generated outputs, and help assess the security of AI-enabled applications and development workflows., * Manage vulnerabilities identified through SAST, DAST, and other application security tools. * Validate, prioritize, and assign vulnerabilities to Application Development (AppDev) teams; track remediation efforts and verify closure. * Oversee the Bug Bounty program, including triage, validation, and coordination with AppDev and external researchers. * Conduct threat intelligence research to identify risks to applications and the broader organization. * Support MSSP-provided security notifications through validation, triage, and assignment of issues. * Collaborate with AppDev to improve secure coding practices and provide remediation guidance. * Use approved AI tools to assist with vulnerability triage, code review, threat research, and remediation guidance; independently validate findings and recommendations before acting on them. * Review AI-generated code and AI-assisted development workflows for security weaknesses, and help AppDev teams apply secure coding and testing practices. * Assess AI-enabled applications and integrations for risks such as prompt injection, sensitive data exposure, insecure output handling, and excessive permissions in AI agents and connected tools. * Follow company policies for AI use, protect source code, credentials, and confidential data, and contribute to guidance for evaluating AI tools and third-party AI services. * Contribute to organizational GRC initiatives, audits, and compliance efforts. * Provide support for cloud security initiatives and third-party risk management reviews.