דרושים » אבטחת מידע וסייבר » Application Security Researcher

We're looking for an Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems.
Responsibilities:
Continuously checking and improving security measures to protect our systems.
Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
Helping developers follow secure coding practices and learn how to prevent security risks.
Staying updated on new security threats and best practices to keep our security standards high.
Contributing to our companys security research blog.

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

our company Cloud Security is seeking a Senior Vulnerability Researcher. In this role, you will research various cloud assets, roles, relations, and configurations to uncover 0-day vulnerabilities in major cloud providers and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud environments.
Furthermore, you will be in charge of fostering and spreading our company Cloud Securitys technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud security tools and solutions.
If youre a curious, creative, technical person with an attackers mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.
Your Role:
Investigate and analyze the multi-cloud stack to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
Conduct technical research on cloud platforms to yield new insights, theories, analyses, TTPs
Serve as a technical leader and contributor for a research team exploring emerging cloud technologies and services.

our company Cloud Security is seeking a Senior Vulnerability Researcher. In this role, you will research various cloud assets, roles, relations, and configurations to uncover 0-day vulnerabilities in major cloud providers and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud environments.
Furthermore, you will be in charge of fostering and spreading our company Cloud Securitys technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud security tools and solutions.
If youre a curious, creative, technical person with an attackers mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.
Your Role:
Investigate and analyze the multi-cloud stack to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
Conduct technical research on cloud platforms to yield new insights, theories, analyses, TTPs
Serve as a technical leader and contributor for a research team exploring emerging cloud technologies and services.

We are looking for a Security Researcher who thrives on both sides of the fence. You will develop offensive tradecraft-discovering new attack vectors and writing exploits-then use that perspective to engineer robust, product-level mitigations. If youre energized by finding a novel browser attack on Monday and shipping the defense for it by Friday, this role is for you.
Key Responsibilities
Offensive Research: Discover new attack vectors, abuse patterns, and security gaps in browsers, web applications, OS internals, and enterprise workflows.
Defensive Engineering: Design and implement detections, mitigations, and security policies informed by your offensive findings; close the loop from attack to protection.
Vulnerability & Malware Analysis: Perform reverse engineering on malware, exploits, and obfuscated code across Windows, macOS, and browser environments.
Web & Browser Security: Research techniques ranging from classic vulnerabilities (XSS, SSRF) to browser-specific primitives (extension abuse, DOM manipulation, same-origin bypasses).
Supply-Chain Security: Investigate threats in software supply chains, including browser extension marketplaces and package registries.
Threat Intelligence: Correlate signals across multiple sources to identify malicious infrastructure and adversary TTPs.
Public Impact: Write technical blog posts, publish research, and represent Island at major security conferences (Black Hat, DEF CON, etc.).

our company Cloud Security is seeking a Senior Security Researcher - AI Security to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to define a new discipline. AI security is an emerging field with few established playbooks, and you will help write them. In this role, you will own the research direction for AI security across our company's platform, uncovering novel risks in AI-native systems and translating that knowledge into product capabilities and industry-leading research. You'll be surrounded by experienced researchers and engineers who live and breathe security, with the space and backing to do original work in a domain that is rapidly evolving.
We're looking for an exceptional security researcher who can navigate ambiguity, think like an attacker, and bring clarity to a space that lacks it. You're curious, technically deep, and energized by the challenge of defining risk in systems that are still being understood.
Your Role:
Be at the forefront of an emerging discipline. Conduct technical analysis of AI frameworks, services, and architectures to discover novel risks, vulnerabilities, and attack vectors before they become industry-wide problems .
Define AI security risk by analyzing how exposure is created and exploited in AI systems. Collaborate with engineering and product teams to translate AI research into product findings.
Evaluate the risk of pre-trained models, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex) to define how shadow AI creates organizational exposure.
Author blogs, whitepapers, and technical advisories that set the industry narrative. Present original research at leading conferences and serve as our company's external voice on AI risk topics.
Analyze AI systems from an attacker's perspective to define trust boundaries, map attack techniques, and identify exploitable paths. Translate findings into product features and outbound research.
Investigate and analyze AI infrastructures and services to find 0-day vulnerabilities, security holes, weaknesses, and design flaws.

we are seeking a highly motivated and talented XDR Research Engineer to join our XDR Research team. In this role, you will develop advanced detection logic to identify and analyze security threats across the company XDR platform. Leveraging the rich data available in the company Cloud data lake, you will conduct extensive research and threat-hunting activities to broaden our detection capabilities and proactively uncover previously unknown threats.
Your work will directly influence the evolution of our companys XDR capabilities and strengthen the security posture of thousands of global customers.
This is an exceptional opportunity for security professionals passionate about Network Security, Detection Engineering, Malware Analysis, and Threat Hunting who want to make a meaningful impact on a fast-growing cybersecurity environment.
Responsibilities
Develop advanced detection logic for the XDR platform to identify security threats.
Conduct research using our company Cloud data, competitive intelligence, and newly published threat reports to expand detection coverage.
Create hunting heuristics and methodologies to uncover unknown or emerging threats.
Continuously improve detection accuracy and enhance the platforms ability to identify threats in a dynamic security landscape.
Participate in cybersecurity breach investigations and security incident activities.
Contribute to technical blogs and PR materials, and participate in cybersecurity conferences.

We're looking for a hands-on Application Security leader with extensive experience building and scaling AppSec programs in high-growth software environments. Proven ability to balance strategy with execution, embed security into engineering workflows, and partner closely with R&D teams to deliver measurable risk reduction without slowing development.
What will you do?
Mature and scale our Application Security function across R&D, establishing clear ownership, processes, and engagement models with engineering teams
Embed application security into CI/CD pipelines and daily development workflows, enabling secure-by-default engineering practices
Hands on knowledge in pen testing and code review in multiple languages.
Lead the implementation, tuning, and ongoing optimization of AppSec tooling (Semgrep, Oligo, Escape DAST), and our company Bug bounty program, driving high signal-to-noise detection and actionable remediation
Define and maintain application security standards, policies, and secure development frameworks aligned with business and engineering needs
Conduct and Lead threat modeling sessions, architecture risk reviews, and secure design assessments for new and existing services
Partner closely with Engineering Managers, Tech Leads, and Architects to promote secure coding practices and pragmatic security decisions
Support our company research program company CTRL, with dedicated research activities and focus on new vulnerabilities discovery.
Establish and track meaningful AppSec KPIs (vulnerability trends, remediation SLAs, pipeline coverage, risk posture) and reported progress to stakeholders
Translate security initiatives into clear execution plans, ensuring adoption and measurable impact across teams
Mentor engineers and security champions, gradually expanding AppSec ownership and scaling the program with organizational growth.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of our companys trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
The Responsibilities
Analyze various network devices, configurations and security products
Implement methods and algorithms to discover network topology, relationships between devices and potential lateral movement paths
Conduct network security assessments to identify weaknesses in customers network infrastructure, and recommend mitigations to monitor and limit unauthorized access
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams.

As the Code & AI Security Research Manager, you will lead an elite team in redefining trust for an era of agentic automation and hyper-connected supply chains. You will serve as a technical lighthouse and strategic leader, managing a high-performance team to secure the core of modern engineering. Your mission is to bridge deep technical research with product innovation, ensuring our customers' security posture evolves faster than the way they build software.
Key Responsibilities
Lead, mentor, and empower a team of world-class security researchers to pioneer AI-native security strategies.
Define the vision for identifying and mitigating novel attack vectors targeting coding agents and autonomous development workflows.
Oversee the evolution of traditional code vulnerabilities into proactive, self-healing workflows that fix issues before they reach a pull request.
Drive deep-dive research into software supply chain vulnerabilities, including CI/CD pipeline risks and third-party package security.
Proactively collaborate with Product and Engineering leaders to integrate research findings into core platform detection and remediation logic.
Establish the team as a global thought leader by overseeing original research publications, influential blog posts, and conference presentations.