דרושים » אבטחת מידע וסייבר » Network & Security Researcher

We are looking for a Research Team Lead to establish and lead a cross-product research team focused on horizontal, high-impact initiatives that influence multiple company offerings.
Unlike product-embedded research roles, this team drives foundational and strategic research projects across networking, security, identity, automation, and AI-driven capabilities. Examples include large-scale reasoning systems, autonomous policy frameworks, cross-domain detection and response concepts (xOps), and platform-wide intelligence capabilities.
You will combine deep technical expertise with strong leadership and execution skills -identifying impactful research directions, building a high-performing team, and turning advanced research into real platform capabilities used by thousands of customers worldwide.
Responsibilities
Technical Vision & Strategy
Define and execute the roadmap for cross-product research initiatives.
Identify high-leverage research opportunities that impact multiple domains and products.
Drive long-term architectural thinking and influence platform evolution.
Balance innovation, experimentation, and production-readiness.
Team Leadership
Recruit, mentor, and grow a multidisciplinary team of researchers (AI, data, algorithms, networking, security).
Establish high standards for research rigor, experimentation methodology, and engineering quality.
Foster a culture of ownership, collaboration, and technical excellence.
Research & Execution
Lead complex, ambiguous research initiatives from ideation through validation and productionization.
Design large-scale experiments and validation methodologies using our companys data platform.
Drive innovation in areas such as:
Autonomous policy systems
Cross-domain detection and response frameworks
Large-scale reasoning and decision systems
Data-driven optimization and automation capabilities
Ensure research outcomes are measurable, scalable, and aligned with business impact.
Cross-Functional Collaboration
Work closely with Product, Engineering, Architecture, and Product Research teams to translate research into shipped capabilities.
Provide technical guidance and influence cross-organizational decisions.
Act as a bridge between exploratory research and production systems.
Communication & Influence
Present research findings and strategic recommendations to senior leadership.
Produce clear technical documentation, design proposals, and internal position papers.
Represent Platform Research as a center of excellence for cross-product innovation.

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 are looking for a high-energy, talented people to join the company Security team. As a Security Engineer, you will take part in product content development and build logics and signatures to mitigate emerging security threats. Your work outcome will feed our company Cloud security products such as the IPS and Suspicious Activity Monitoring with the latest protections. You will analyze protocols and investigate various attacks utilizing network analysis tools and modern data analysis frameworks. Joining our company is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security.
Responsibilities:
Research and analyze new threats and develop product content such as IPS signatures and logic to provide the best protection for our companys customers.
Enhance product accuracy and its ability to detect new threats in the dynamically-changed security landscape.
Monitor your work using different monitoring tools and methods over the cloud.
Utilize our company Data Warehouse with big-data technologies to support your work.

We are seeking a dynamic and experienced Threat Hunter to lead proactive cybersecurity efforts by uncovering hidden threats across our environment. In this role, you will drive hypothesis-based hunting, perform deep analysis and validation of security telemetry, investigate suspicious network activity, and continuously improve threat detection and response. You will also assess CVE relevance and exploitability to prioritize real-world risk, and leverage threat intelligence feeds and enrichment pipelines to enhance hunting context, detection accuracy, and response effectiveness.

If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.


Responsibilities:
Apply data analytics to analyze security-related network data, uncover actionable threat intelligence, detect anomalies and malicious behavior, and automate findings into an enhanced detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Work closely with Product and Engineering to translate threat intelligence into product strategy, prioritized features, and defensive enhancements.
Monitor and analyze the latest vulnerabilities, CVEs, exploits, and threat actor TTPs, with a focus on techniques relevant to microsegmentation, identity security, lateral movement, and internal reconnaissance.
Integrate external threat feeds and intelligence sources into our product - including normalization, enrichment, classification, and validation of feed relevance.
Contribute to detection logic, threat models, and internal tooling that turn intelligence into prevention and protection.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.

As a Security Research Team Leader, you will lead a high-impact research team dedicated to decoding the "DNA" of enterprise assets, from Cloud instances to Industrial OT. You will bridge the gap between deep technical discovery and product innovation for our CAM and CPA lines. You will drive the transition from manual research to AI-automated intelligence at scale within a collaborative environment.
Responsibilities
Team Leadership: Directly manage and mentor a specialized team of researchers, overseeing task prioritization and professional development.
AI Integration: Implement AI and LLM-driven workflows to automate asset identification, fingerprinting, and technical documentation parsing.
Cross-Functional Synergy: Act as the primary technical liaison between Research, Product (CAM/OT), and Engineering to translate findings into features.
Technical Deep Dives: Lead research into network protocols (TCP/IP) and device signatures to improve discovery and classification engines.
Data-Driven Strategy: Use Python and SQL to query massive datasets, identify emerging asset patterns, and build functional research scripts.

Were looking for a Senior Security Researcher to drive high-impact research across cloud, runtime, and application environments, and translate it into product-grade detections. This is a hands-on role for someone who can lead investigations end-to-end: from understanding attacker tradecraft and vulnerabilities, through building reliable detection logic, to influencing product direction.
On a typical day youll:
Lead deep-dive research into real-world attacks, vulnerabilities, and emerging cloud and runtime techniques
Own complex investigations (DFIR, threat hunting, root-cause analysis) and convert learnings into durable detections
Design and implement advanced detection logic and analytics across cloud assets, containers, Kubernetes, and Linux runtime telemetry
Build prototypes and production-ready components that improve detection accuracy, fidelity, and coverage
Partner closely with engineering and product to shape roadmap priorities and guide implementation details
Develop research methodologies, testing frameworks, and validation processes for new detections
Mentor and level up other researchers and engineers through reviews, knowledge sharing, and technical guidance
Represent the team externally through publications, technical blogs, and conference talks.

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.

we are seeking a hands-on and innovative Robotics Security Tech Lead / Senior Robotics Engineer to lead our Cyber-Physical / Embodied AI Security efforts. In this key role, you will bridge advanced security research and real-world robotics development, building and validating practical prototypes on real robots (HW/SW integration, sensors, communications, ROS/ROS2).
You will define and execute a research-to-demo roadmap that showcases realistic attack/defense scenarios and measurable security improvements for embodied AI systems. The role includes mentoring and leading student projects at university and collaborating closely with our company engineering and product teams to translate insights into deployable solutions.
Job Responsibilities
Lead the end-to-end research-to-prototype cycle for robotics/embodied AI security: ideation threat modeling PoC development validation demo readiness.
Build and maintain an experimentation platform for security evaluation on real robots
Investigate and mitigate threats across the embodied AI stack, including (high-level):
autonomy policy safety failures,
communications command authenticity,
software supply chain / update pipeline risks,
data protection privacy in real environments.
Design defense strategies and resilience mechanisms (monitoring, anomaly detection, guardrails, fail-safe behaviors, controlled recovery).
Lead and mentor student researchers at Reichman University: define projects, guide implementation, review results, and ensure research quality.
Produce clear technical documentation, evaluation reports, and demo artifacts for internal and external audiences.

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.

In this role, you will be the architect of our "security brain." You will write the low-level code that observes what is happening (eBPF/Golang) and build the AI models that understand, diagnose, and prevent issues (LLMs/Python).
Key Responsibilities
1. The "Eyes": eBPF Development & Systems Engineering
Lead the Cimon Agent: Spearhead the active development of our high-performance eBPF agent "Cimon" using Golang and C.
Kernel-Level Innovation: Design and implement eBPF programs for deep observability, runtime security, and container monitoring.
Performance Obsession: Write beautiful, highly efficient code that runs in the Linux kernel with minimal overhead.
Community Leadership: Actively participate in the eBPF and open-source communities, contributing code and presenting technical deep dives at conferences.
2. The "Brain": AI Innovation & Security Research
AI-Driven Security Solutions: Architect and prototype models for:
Automated Exploitability: Checking SAST/SCA findings for validity.
AI Remediation: Automatically fixing Dockerfile misconfigurations and generating patches.
Model Detection: Identifying AI models embedded within codebases.
Benchmarking & Rigor: Design evaluation frameworks to measure model accuracy, false positives, and robustness in security contexts.
Prompt Engineering: Shape prompt strategies and workflows to translate real-world security challenges into actionable AI logic.
3. The Intersection: Collaboration & Evangelism
Cross-Functional Leadership: Serve as the technical link between the AI development team and the core security engineering team.
Thought Leadership: Author whitepapers, technical blogs, and deliver talks on the cutting edge of "AI for Systems Security."
Mentorship: Guide engineers on best practices for both low-level systems design and AI integration.
Why This Role?
No Context Switching Cost: You won't just be researching; you will be building the tools you research. You control the data collection (eBPF) and the analysis (AI).
Deep Tech Focus: This isn't a wrapper-API role. You will be dealing with kernel bypasses, memory safety, and LLM hallucinations all in the same week.
Impact: Your work will directly power the next generation of automated security remediation.