Senior AI Security Researcher

About this role

Job Title: Senior AI Security Researcher - Agent Identity Security (AIS)

Location: Bangalore, Coimbatore

Experience: 4+ years

AppViewX 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.

Our Values:

At AppViewX, our values reflect how we work together in practice—not just what we aspire to. They show up in everyday decisions, how we collaborate across teams, and how we treat each other while building and delivering our work. If these values resonate with you, you’ll likely feel at home here.
• Clarity: We interact with transparency, simplicity, and shared purpose.
• Unity: We build unity through mutual respect, trust, and collaboration.
• Innovation: We stay curious, challenge assumptions, and drive continuous improvement.
• Speed: We act with urgency, focus, and follow-through to deliver results fast.
• Precision: We bring accuracy, consistency, and care to everything we do.

Role Overview

We are looking for an experienced AI Security Researcher to lead deep technical research for the Agent Identity Security (AIS) platform.

This 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.

The 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.

A 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.

The 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.

What will you be responsible for?

• Lead 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.

• Research 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.

• Research 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.

• Evaluate 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.

• Build 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.

• Perform 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.

• Continuously 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.

• Drive 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.

• Perform 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.

• Maintain Competitive Intelligence: Compare competitor capabilities, architectures, security approaches, integrations, research publications, patents, product releases, and positioning against AIS and identify opportunities for technical differentiation.

• Track 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.

• Research 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.

• Map Research to AIS Capabilities: Translate newly identified attack techniques and…