Senior Security Researcher

Description

About Us

Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale.

We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide.

Join us in shaping how AI agents are secured at enterprise scale.

About the Role

We’re seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen Zenity’s detection capabilities. In this role, you’ll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. It’s a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.

Responsibilities

• Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
• Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
• Develop, refine, and design world-class detection logic and rules to enhance Zenity's runtime protection.
• Perform threat-hunting activities across large data sources to identify emerging attack patterns
• Drive full-cycle research: from hypothesis and experimentation to production validation.
• Collaborate with engineering and product teams to deliver actionable insights.

Requirements

• 4+ years in security research, including cloud, web, or API security.
• Experience in detection engineering and building or working with detection-driven security products.
• Strong coding and data analytics skills in scripting and programming languages such as Python, JavaScript and bash, and proficiency with SQL-like queries.
• Solid grasp of security principles, cloud security, and runtime defense.
• Curiosity, creativity, and a self-driven approach to research.
• Experience tinkering with LLMs and AI security - a strong plus.