לוח משרות דרושים הייטק אבטחת מידע / סייבר, לחיפוש זה נמצאו 413 משרות

Are you passionate about using cutting-edge technology to help protect the world against cyber threats? Do you live and breathe the cyber security world? Do you want to take part in an innovative and disruptive AI security group that has an impact on many customers?
You will be part of a strong security research and data science team who solve highly complex security challenges using disruptive technologies, AI & ML algorithms and a lot of data.
As part of that, you will take part in the design and development of new groundbreaking AI security solutions which make a direct impact on many customers.
At our company we value diverse viewpoints and experiences, as we are solving complex cyber security challenges. We are committed to a safe and inclusive workspace.
Key Responsibilities
Be at the forefront of security innovation, building next-gen detection capabilities powered by AI, deep-learning, machine learning, big data, and deep threat intelligence.
Dive deep into low-level systems, reverse engineering, and file-type behavior to uncover novel attack vectors - and then turn that insight into scalable, ML-driven protections.
Work hand-in-hand with rockstar data scientists, engineers, and PMs in a fast-paced, collaborative environment where ideas move quickly from whiteboard to production.
Lead high-impact research initiatives that fuse classic security expertise with modern data science - shaping models, influencing pipelines, and driving real-world protection outcomes.
Be a key player in a multidisciplinary team where your deep security expertise will directly influence AI/ML model design, data pipeline strategy, and real-world product impact.

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 Security Researcher to join our research group as part of a growing team developing Autopilot, an innovative product for autonomous investigation and response.
As a core member of the team, you'll go beyond research: youll research, design, and develop investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Research and implement new autonomous methods for investigating and responding to targeted attackers, using large-scale, diverse security datasets
Develop and design the graph-based algorithms that power autonomous investigation and decision-making capabilities
Design automated incident response by developing reusable logic that transforms raw security data and alerts into clear, actionable insights.
Leverage graph algorithms, AI techniques, and statistical methods to mimic and scale human security analyst workflows
Conduct deep, hands-on investigations into modern malware, APTs, and complex attack flows to inform detection and response logic
Stay up to date with attacker methodologies, tools, and techniques (TTPs), ensuring our product remains effective against evolving threats
Contribute to a collaborative, fast-paced research team, helping shape our research strategy, improve processes, and continuously enhance the product.

We are looking for a Linux Low Level Security Research team manager for our Tel Aviv R&D center. You will manage and lead a team that is responsible for researching the most recent Malwares, Kernel mitigations, EBPF, and advanced cybersecurity threats, as well as designing, developing and improving our Linux Agent ability to protect against different threats. The position includes researching Linux internals, Reverse engineering, malwares analysis, diving into internals of the Linux kernel and user-mode code, java, javascript and more.
Key Responsibilities
Leading the existing employees as well as hire future employees to join your team.
Be a thought leader around anti-malware detection and protection; designing, planning, and improving our anti-malware detection and prevention capabilities.
Lead the rapid response and find ways to prevent new critical vulnerabilities.
Respond to malware-based security events from customers.
Stay up to date with current malware and new attackers techniques.

We are looking for a Linux Low Level Security Research group manager for our Tel Aviv R&D center. You will manage and lead a group that is responsible for researching the most recent Malwares, Kernel mitigations, EBPF, vulnerabilities, exploits and advanced cybersecurity threats, as well as designing, developing and improving our Linux Agent ability to protect against different threats. The position includes researching Linux internals, Reverse engineering, malware analysis, vulnerability analysis, diving into internals of the Linux kernel and user-mode code, java, javascript and more. The group consists of two Linux Low Level researcher teams.
Key Responsibilities
Leading the existing employees as well as hiring future employees to join your group.
Be a thought leader around Linux detection and protection; designing, planning, and improving our anti-exploit, as well as anti-malware detection and prevention capabilities.
Lead the rapid response and find ways to prevent new critical vulnerabilities and malware.
Figure out different ways to generally catch entire bug-classes or exploitation building blocks to prevent exploits.
Respond to different breach and security events arriving from customers.
Stay up to date with current vulnerabilities, exploitation techniques and malware.

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.

The team is responsible for developing and improving our Windows anti-malware prevention. This includes having top-notch knowledge about the latest malware families in the wild, Windows internals, different attack frameworks and hacktools. As part of this, the team analyzes customer data and issues to prevent malicious activities in our customer's environment, and help to improve the product.
Key Responsibilities
Research and analyze malware and keep up-to-date on the most recent tactics and techniques used in the wild
Create behavioral-based protection that enhances our product's coverage
Leverage our company massive collection network to identify coverage gaps and emerging threats
Assist in the design, evaluation, and implementation of new security technologies
Work in close coordination with other teams, including both development and other research teams, as well as support, sales and other cross-functional teams.

What you will do
Research threat actors, campaigns, and techniques relevant to browser extensions, SaaS apps, autonomous agents, MCP/tooling ecosystems, and related endpoint behaviors.
Build and maintain threat intelligence: TTPs, IOCs where appropriate, ATT&CK-style mappings, and internal knowledge bases.
Design, test, and tune detection logic (behavioral rules, heuristics, models, or equivalent) in collaboration with detection and data science teams.
Analyze customer and telemetry datasets to find novel abuse patterns, false positives, and detection gaps.
Produce clear outputs for multiple audiences: technical blogs, customer-facing briefings, internal playbooks, and engineering specs.
Work with reverse engineering, data engineering, and product to turn research into durable platform capabilities.
Participate in incident-driven research and time-sensitive investigations when new threats emerge.

You will work firsthand with our valued customers to address their complex post-sales concerns where analysis of situations or data requires an in-depth evaluation of many factors. Youre a critical thinker in understanding the methods, techniques, and evaluation criteria for obtaining results. Youll enjoy networking with key contacts outside your own area of expertise, with a strong capability of detailing difficult technical issues to both non-technical and technical professionals.
You will regularly participate in technical discussions with multi-functional teams, creating an environment of transparency that ultimately leads to better products, better working environments, and better cybersecurity. Your quick thinking and support to our clients provides the fast assistance they need to keep their environments secure - which means youll need to move quickly, thoughtfully, and provide technical assistance as needed (often, in high pressure situations).
Your Impact
Provide customers on-site support, deployment and implementation, knowledge transfer, configurations, troubleshooting, and standard methodologies to customers via phone, e-mail, and web.
Use fault isolation and root cause analysis skills to diagnose and tackle complicated technical issues
Provide post sales technical support, while handling support cases to ensure issues are recorded, tracked, resolved, and follow-ups finished in a timely manner
Work to reproduce customer issues and qualify critical issues
Publish Technical Support Bulletins and other user documentation in the Knowledge Base
Build a positive customer experience by working closely with Development, Sales, Quality Assurance, and Marketing
Responsible for reviewing user documentation for training materials, technical marketing collateral, manuals, problem solving guides, etc.
Provide on-call support 24x7 on an as needed basis
Travel may be required to customer sites in the event of a critical situation to expedite resolution
Work shoulder to shoulder with the Sales and Sales Engineering Teams.

Are you passionate about dissecting the intersection of Identity, SAAS, and Cloud infrastructure? We are looking for a visionary Security Researcher to join our team and redefine how organizations understand and mitigate risks across their SaaS and Cloud ecosystems. In this role, you will be investigating the fundamental ways services are utilized and how their configurations can be exploited by modern adversaries. You will bridge the gap between abstract SaaS & cloud architecture and real-world attack execution, transforming complex research into actionable guidance. If you thrive on deconstructing TTPs and building the blueprints for resilient service usage, this is your opportunity to lead the charge in a world-leading cybersecurity company.
Key Responsibilities
Lead ongoing investigations into the risks associated with SaaS, Identity and Cloud platforms, focusing on how these services are integrated within broader environments.
Analyze the functional 'how-to' of cloud services to identify inherent risks and develop robust strategies for secure implementation and usage.
Stay ahead of the curve by researching real-world attacker methodologies and translating these behaviors into practical mitigation strategies.
Design and execute high-fidelity attack simulations in lab settings to observe adversarial behavior firsthand, specifically focusing on identity-based and SaaS.
Create comprehensive research outcomes that guide customers on how to use services securely from the ground up.
Foster a culture of excellence within a diverse team of experts, sharing insights that influence the next generation of cloud and identity security products.

Join a team redefining cloud security operations across Cloud Detection & Response (CDR) and Cloud Security Posture Management (CSPM). Our team operates at the intersection of security, engineering, and large-scale cloud operations. We build products that help organizations detect threats faster, respond with confidence, continuously reduce risk, and secure modern cloud environments at scale. This is an opportunity to help shape the future of autonomous cloud defense by building technology that turns security signals into meaningful action.
Key Responsibilities
Help build the next generation of the Autonomous Cloud SOC by transforming detections, posture findings, and emerging threats into intelligent investigation and response workflows.
Design and build automated playbooks that investigate security signals, gather evidence, assess blast radius, validate risk, and guide or execute response actions.
Work across cloud control planes, identity systems, Kubernetes environments, network telemetry, and posture data to turn signals into high-confidence outcomes.
Leverage existing detections, continuously improve investigation logic, and ensure response workflows remain effective as cloud environments and attacker techniques evolve.

As the Manager of the Rapid Response (RR) team, you will lead a group of malware analysts responsible for developing, improving, and deploying our rapid anti-malware prevention capabilities. Your team is on the front lines of statically analyzing urgent customer issues, stopping malicious activities in their tracks, and developing to halt attacks at the earliest possible stage. In this role, you will guide the teams technical direction, drive automation initiatives, and act as the critical bridge between frontline support, global research, and engineering.
Key Responsibilities
Lead, mentor, and develop a team of fast-paced malware analysts, fostering a "play to win" culture.
Oversee the daily triage, investigation, and resolution of urgent customer escalations, specifically False Positive (FP) and False Negative (FN) malware prevention events - ensuring swift and accurate mitigation.
Drive the team's automation efforts, identifying opportunities to automate routines to reduce response times and scale the team's capabilities.
Direct the analysis of emerging malware families, OS internals, and attack frameworks to ensure the team maintains an up-to-date overview of the current threat landscape.
Guide the development of rapid, high-quality prevention signatures (e.g., YARA, IPS) to enhance product coverage.
Act as the primary technical escalation point and work in close coordination with global research teams, support, engineering, and other cross-functional stakeholders.

We are looking for a macOS Security Researcher for our Tel Aviv R&D center to work on Cortex-XDR for Mac. You will be part of a team in charge of researching, developing, and improving Anti-Malware and Anti-Exploit capabilities. This role involves researching OS internals, exploits, malware, and finding ways to mitigate new attack vectors.
Key Responsibilities
Research, develop, and improve anti-exploitation mitigations and anti-malware modules.
Research macOS internals, application code bases, vulnerabilities, and exploits.
Research malware and find different ways to detect and prevent them.
Analyze customer data to help with detecting and preventing malicious activities in our customers networks.

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.

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.