{"id":1993913,"url":"https://alion.io/job/appviewx-senior-agent-identity-security-researcher","title":"Senior Agent Identity Security Researcher","company":{"id":1888,"name":"AppViewX","domain":"appviewx.com","url":"https://alion.io/company/appviewx","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":94,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Gemini","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenAI","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-08-28T12:19:38Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-21T00:08:03Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Job Title: Senior AI Security Researcher - Agent Identity Security (AIS)\nLocation: Bengaluru, Karnataka & Coimbatore, Tamil Nadu\nExperience: 4+ years \nAppViewX is the only machine and agent identity security company built for the AI and quantum era, bringing together discovery, automation, control, and intelligence. The AVX Platform helps enterprises reduce risk by providing complete visibility and governance over every machine and AI agent identity, automating their lifecycle, controlling their access, and proving compliance at the speed business demands. Trusted by global enterprises across financial services, healthcare, and technology, AppViewX is recognized as a leader in the IDC 2026 MarketScape for Certificate Lifecycle Management and KuppingerCole’s 2025 Non-Human Identity Management Leadership Compass. For more information, users can visit appviewx.com.\nOur Values:\nOur values define how we work, make decisions, and deliver for our customers and each other. Some reflect strengths deeply engrained in how we work. Others represent the standards we are committed to building together. \nWe Do What We Say: We own our commitments, communicate honestly about progress, and measure success by results, not activity. \nWe Are Trusted Experts: We continuously build our expertise, offer candid guidance, and focus on the outcomes our customers and colleagues need. \nWe Raise the Bar: We stay curious, challenge the status quo, take smart risks, and turn better ideas into meaningful results. \nWe Win Together: We share information, debate openly, commit together, and recognize that our success is connected to the success of our customers and teammates. \nIf these values reflect how you want to work and contribute, you will find an opportunity to make a meaningful impact at AppViewX. \nRole Overview\nWe are looking for an experienced AI Security Researcher to lead deep technical research for the Agent Identity Security (AIS) platform.\nThis research-focused role continuously explores the evolving AI and Agentic AI security landscape and translates findings into actionable security intelligence, prototypes, technical recommendations, and thought leadership for AIS.\nThe researcher will focus on AI agents, Agentic AI frameworks, MCP and emerging agent protocols, LLM security, AI identity, tool security, AI supply-chain risks, prompt and context security, and AI governance standards. The role will also continuously evaluate competitive products and emerging technologies to identify new threats, capabilities, and opportunities relevant to AIS.\nA critical responsibility of this position is to serve as an independent security research function for AIS, continuously challenging the platform architecture, integrations, gateways, policy enforcement mechanisms, and agent interactions to ensure AIS remains secure as the AI ecosystem evolves.\nThe ideal candidate combines a strong security research mindset with hands-on technical ability and can move from research → threat hypothesis → experimentation → PoC → security recommendation → product influence → publication.\nWhat will you be responsible for?\nLead AI Security Research: Conduct continuous research into emerging threats across LLMs, AI agents, autonomous systems, Agentic AI platforms, MCP servers, AI tools, models, AI gateways, and AI development environments.\nResearch Agentic AI Attack Surfaces: Identify and analyze vulnerabilities involving prompt injection, indirect prompt injection, tool poisoning, excessive agency, insecure tool execution, privilege escalation, credential exposure, data exfiltration, memory poisoning, context manipulation, agent impersonation, and cross-agent attacks.\nResearch AI Identity Security: Investigate security challenges associated with human-to-agent, agent-to-agent, agent-to-tool, agent-to-MCP-server, and agent-to-model identities, including authentication, authorization, delegation, impersonation, credential management, and non-human identities.\nEvaluate Emerging AI Protocols: Research new protocols and standards supporting AI and autonomous agents, including Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, agent communication standards, tool protocols, identity standards, and emerging interoperability frameworks.\nBuild Research PoCs: Develop working proof-of-concepts for emerging AI protocols, frameworks, security controls, attack techniques, and defensive mechanisms to validate their relevance to AIS.\nPerform Adversarial Security Research: Build controlled attack scenarios against AI agents, MCP servers, tools, models, and gateways to understand realistic attack paths and determine how AIS should detect, prevent, or govern them.\nContinuously Test AIS Security: Independently evaluate AIS architecture, APIs, agent integrations, MCP Gateway, policy enforcement, hooks, SDKs, credentials, authentication flows, and other security-sensitive components for potential weaknesses.\nDrive Security-by-Research for AIS: Identify security gaps before they become customer or production risks and provide engineering teams with clear technical findings, attack scenarios, severity assessments, and recommended mitigations.\nPerform Competitive Security Analysis: Continuously research competing and adjacent products across AI security, AI governance, AI-SPM, MCP security, identity security, cloud security, and Agentic AI security.\nMaintain Competitive Intelligence: Compare competitor capabilities, architectures, security approaches, integrations, research publications, patents, product releases, and positioning against AIS and identify opportunities for technical differentiation.\nTrack Emerging Threats: Monitor security research, vulnerabilities, CVEs, attack techniques, academic publications, security conferences, open-source projects, and industry developments relevant to AI and Agentic AI.\nResearch AI Security Standards: Track and evaluate standards and frameworks including OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, AIUC-1, and other emerging AI security and governance standards.\nMap Research to AIS Capabilities: Translate newly identified attack techniques and security risks into potential AIS posture checks, policies, detections, risk indicators, compliance mappings, and security controls.\nCreate White Papers: Author technically rigorous white papers covering AI security threats, Agentic AI security, MCP security, AI identity, governance, emerging protocols, attack techniques, and AIS security approaches.\nPublish Technical Research: Produce security advisories, technical blogs, research reports, attack demonstrations, architecture recommendations, and other technical thought-leadership content.\nDevelop Threat Models: Create and continuously evolve threat models for AI agents, MCP ecosystems, AI gateways, models, tools, credentials, memory systems, RAG pipelines, and autonomous workflows.\nCreate AI Security Taxonomies: Develop reusable classifications for Agentic AI threats, attack techniques, vulnerabilities, identities, security controls, and defensive mechanisms.\nCollaborate with Engineering and Product: Present research findings to architects, engineering teams, security teams, and product management and help translate validated research into future AIS capabilities.\nSupport Customer Security Discussions: Provide deep technical expertise for strategic customer discussions, security workshops, research briefings, and complex questions around AI and Agentic AI security.\nRepresent AIS Research: Contribute to external technical communities through research papers, responsible disclosures, standards discussions, conference submissions, technical demonstrations, and open-source initiatives where appropriate.\nWhat do we require? \n4+ years of cybersecurity experience, with significant experience in security research, application security, cloud security, offensive security, identity security, vulnerability research, or related disciplines.\nDemonstrated research experience in AI/ML security, LLM security, Agentic AI security, application security, identity security, or emerging cybersecurity technologies.\nStrong understanding of LLMs, AI agents, Agentic AI frameworks, RAG systems, tools/functions, memory, context management, AI gateways, and model APIs.\nHands-on knowledge of MCP and emerging AI/agent protocols, with the ability to independently build clients, servers, integrations, attack scenarios, and security PoCs.\nStrong understanding of AI attack techniques including prompt injection, tool poisoning, data exfiltration, insecure output handling, excessive agency, memory manipulation, supply-chain attacks, and privilege escalation.\nStrong knowledge of authentication, authorization, OAuth/OIDC, API security, IAM, workload identities, secrets, tokens, credentials, RBAC/ABAC, and zero-trust principles.\nStrong hands-on programming capability in Python, with the ability to rapidly build research tools, attack simulations, protocol implementations, automation, and PoCs.\nExperience with security testing and research tools across web applications, APIs, cloud infrastructure, containers, identity systems, and distributed applications.\nFamiliarity with major AI ecosystems and platforms such as OpenAI, Anthropic, Microsoft Copilot, Google Gemini, AWS Bedrock, Claude Code, Cursor, GitHub Copilot, Salesforce Agentforce, and other emerging agentic platforms.\nKnowledge of security and AI frameworks such as OWASP, MITRE ATT&CK/ATLAS, NIST AI RMF, ISO/IEC 42001, and emerging Agentic AI security standards.\nAbility to independently read and analyze research papers, specifications, protocol definitions, standards, open-source implementations, and security advisories and determine their relevance to AIS.\nStrong technical writing skills with demonstrated ability to produce white papers, research reports, vulnerability reports, technical blogs, threat models, or academic publications.\nExperience performing competitive technical analysis and converting findings into actionable recommendations for engineering and product teams.\nStrong analytical mindset with the ability to challenge assumptions, formulate attack hypotheses, design experiments, and validate findings through reproducible research.\nAbility to work independently on ambiguous and emerging security problems where established security patterns or industry standards may not yet exist.\nPublished security research, CVEs, responsible disclosures, patents, academic papers, conference presentations, open-source security tools, or contributions to security/AI standards are strongly preferred.\nExpected Research Outcomes\nWe will measure success primarily by research impact rather than feature delivery. Expected outcomes include:\nIdentification of new AI and Agentic AI attack techniques relevant to AIS.\nResearch-backed recommendations that improve the security architecture of AIS.\nWorking PoCs for emerging AI protocols, threats, and defensive techniques.\nNew security posture checks, policies, detections, or controls proposed from validated research.\nRegular competitive intelligence identifying technical gaps and differentiation opportunities.\nHigh-quality white papers, technical publications, threat models, and research reports.\nIdentification and responsible remediation of security weaknesses within AIS.\nContributions to industry discussions, standards, open-source initiatives, patents, or original security research.\nA continuously maintained AIS AI Security Research Roadmap covering emerging protocols, threats, standards, competitors, and research priorities.\nWhy AppViewX?\nAppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. 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