דרושים » אבטחת מידע וסייבר » Principal/Senior Security Researcher - Windows EDR (Cortex - XDR)

Are you an innovative security researcher with a deep understanding of Linux systems and a passion for protecting modern environments? Do you want to lead the charge in securing enterprise networks against the latest threats?
We're looking for a skilled professional to join our team, focusing on the critical and rapidly evolving fields of Linux Security. You'll be a foundational member of a new and growing team dedicated to the blue ocean of detection, developing multiple new capabilities within the largest cybersecurity enterprise in the world.
This is a unique opportunity to apply your expertise and influence the future of threat prevention-helping us build cutting-edge security solutions from the ground up.
Key Responsibilitie
Play a pivotal role in shaping the future of our security solutions.
Enhance product effectiveness by designing advanced protection components and developing sophisticated detection rules.
Research Linux OS internals, virtualized environments, and malware behaviors to inform and strengthen our attack prevention mechanisms.
Apply advanced AI and big data approaches to investigate and analyze large-scale datasets across our client base.
Lead research on novel protection concepts and bring them to production-grade quality, serving as a subject matter expert.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs targeting Linux systems.
Conduct static and dynamic reverse engineering of Linux malware to uncover new techniques and develop mitigation strategies.
Collaborate closely with engineering, product management, and other research teams to translate research findings into production features.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

we are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by our company, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

We are looking for a Windows Malware Security Researcher for our Tel Aviv R&D center. You will be part of a team that is responsible for researching the most recent and advanced cybersecurity threats, as well as designing, developing, and improving Anti-Malware capabilities to protect against them. The position includes researching OS internals, picking apart malware samples, delving into the internals of Windows kernel and user-mode code, and finding ways to mitigate new attack vectors.
The proposed role will be part of the research team of the Cortex XDR endpoint protection solution.
We are seeking a highly skilled and experienced Windows Malware Security Researcher to join our growing Windows malware research team of the Cortex XDR agent group. In this role, you will play a key part in enhancing our Endpoint Detection and Response (EDR) agent by prototyping new protection components and techniques and developing advanced malware prevention strategies. You will work on identifying, analyzing, and mitigating sophisticated threats, working closely with various teams to drive innovation. A deep understanding of the Windows operating system is essential.
Key Responsibilities
Playing a pivotal role in shaping the future of our security solutions.
Enhance the effectiveness of our EDR product by designing cutting-edge protection components and developing sophisticated prevention rules.
Researching OS internals and how Windows works under the hood - leveraging this knowledge to develop and improve our anti-malware mechanisms and capabilities.
Research and lead novel protection ideas to production-grade level, serving as the feature subject matter expert.
Research new malware and APT mitigation techniques and develop corresponding capabilities (POC level), or improve existing mitigation capabilities.
Respond to malware-based security events at clients' networks.
Stay up to date with current malware and APT techniques.
Provide feedback to the product management team on new feature requests and product enhancements from our customer base.
Find new malware techniques and APT attacks, including analysis of caught-in-the-wild malware.
Operate independently end-to-end - from initial threat idea, through research and POC, to handing off a production-ready design to core agent engineering with clear specs, test cases, and edge-case analysis.
Be a team player who lifts others up - happy to jump in when a teammate is stuck on a tricky Windows internals or RE question, share what you've figured out, and generally make the people around you better.

The Cortex Threat Intelligence team is responsible for maintaining an up-to-date overview of the ever-changing threat landscape and its effects on the Cortex product suite. This includes the collection, analysis, and dissemination of technical threat intelligence from multiple internal and external sources. As part of this role, you will identify detection opportunities, automate threat intelligence processes, and develop tools and methodologies to increase team productivity. our company's Cortex XDR is a market-leading platform with an almost unparalleled telemetry data lake. Our team is deeply data-driven; it is the ideal environment for analysts who are enthusiastic about data mining, tracking threat actors, and deconstructing complex cyberattacks.
Key Responsibilities
Monitor the global threat landscape using diverse sources to proactively identify potential coverage gaps and improve Cortex XDRs defensive posture.
Perform in-depth research into cyberattack techniques to provide actionable insights and suggestions for improving product capabilities.
Leverage our company's telemetry datasets to identify emerging attack patterns and hunt for novel threats.
Design and propose robust detection logic across multiple operating systems (Windows, macOS, Linux).
Partner with cross-functional teams within our company to communicate findings and co-develop security enhancements.
Transform technical intelligence into high-impact deliverables, including customer-facing reports, research articles for the company blog, or presentations at international security conferences.

We are seeking a Principal/Senior Security Researcher to lead proactive research into emerging abuse patterns across agentic and modern endpoint environments. This includes browser extensions, SaaS- and web-delivered code, autonomous agents, MCPs and related tooling, and other forms of non-binary software that do not fit neatly into a traditional malware-focused model.
In this role, you will define and drive independent research initiatives rather than simply respond to predefined queues. You will conduct deep technical investigations, including reverse engineering, telemetry analysis, controlled experimentation, and data-driven validation, and translate your findings into actionable outcomes for the product. These may include detection concepts with clear success criteria, recommendations for new telemetry or platform behavior, and concise technical narratives for engineering, product, executive, or customer-facing audiences.
You will act as a senior research partner to engineering and product leadership, helping shape priorities around what to instrument, what to build, what to retire, and how to reason about ambiguous signals in production environments. The role requires strong technical judgment, strategic thinking, and the ability to turn complex research into evidence-backed product impact.
Key Responsibilities
Define and execute proactive research programs: novel attack surfaces (e.g., browser extensions, SaaS-delivered code, autonomous agents, MCP/tooling ecosystems), long-horizon threats, and systemic gaps in visibility or detection.
Perform deep technical analysis beyond routine triage: reverse engineering, behavioral modeling, data-driven hypothesis testing, and rigorous validation of findings at scale.
Set direction for how research translates into product and detection: prioritization frameworks, threat models, evaluation criteria, and standards of evidence for shipping high-impact changes.
Partner with senior engineering and product stakeholders to shape roadmap, telemetry, and architecture informed by research; influence design tradeoffs before issues appear in the field.
Lead complex, ambiguous investigations end-to-end and synthesize conclusions for executive and customer-facing audiences when stakes are high.
Represent the team through high-quality technical artifacts (e.g., in-depth publications, conference-quality work, or equivalent internal briefings) that establish external and internal credibility.

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 our 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're looking for a Threat Detection Researcher to join the Threat Research team and spread the power of our company. In this role, you will further develop the Cloud-native Threat Detection domain.
WHAT YOULL DO
Design behavioral baselines for complex cloud environments using diverse signals, and develop high-fidelity detections based on those baselines.
Expand our company's detection engine with novel and high-impact telemetry sources, pushing the boundaries of what can be detected in modern cloud environments.
Conduct deep technical research into complex cloud services to uncover novel attack vectors.
Investigate real-world attacks across cloud environments, identity providers (IDPs), and infrastructure-as-a-service (IaaS) platforms.
Hunt and analyze emerging threats and active campaigns targeting cloud ecosystems.