Senior Security Researcher

we are the worlds first application security platform for Enterprise AI Copilots and Low-Code development. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the worlds top companies, we provide centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding round, solidifying our position as a leader in the industry and enabling us to accelerate our mission of innovation and security.
About the Job:
We are seeking an experienced Senior Security Researcher to join our Research department, focusing on low-code and no-code platforms as well as AI copilots and generative AI technologies. This role offers a unique opportunity to work closely with Inbar Raz, a prominent figure in the security research community known for his pioneering work and thought leadership. Inbars extensive expertise and innovative approach to security research will not only guide but also inspire your work, making our company a place where your contributions can have a significant impact on the future of application security.
Responsibilities:
Conduct thorough research to identify security weaknesses and vulnerabilities within low-code/no-code platforms, AI copilots, and Gen AI technologies.
Perform in-depth analysis of web and API security, identifying potential threats and developing mitigation strategies.
Collaborate with Inbar Raz and cross-company teams to proactively address security concerns during the development lifecycle, particularly in relation to AI and low-code/no-code environments.
Stay up-to-date with the latest industry trends, security threats, and advancements in low-code/no-code technologies, as well as AI and Gen AI, benefiting from Inbar Razs insights and experience.
Develop proof-of-concept exploits, provide recommendations for remediation to affected vendors, and create detections in the platform, with a focus on AI and low-code/no-code security.
Contribute to the development of security guidelines, best practices, and standards tailored for low-code/no-code platforms and AI technologies.
Collaborate with external security researchers and organizations, leveraging Inbars network, to enhance the overall security posture of the low-code/no-code and AI landscape.
Perform publishable research and share it via blog posts, conference talks, and meet-ups, with an emphasis on AI and low-code/no-code security.
Publish research findings and present them at conferences or industry events, showcasing your work alongside Inbar Raz to share insights and advancements with the broader security community.