דרושים » אבטחת מידע וסייבר » Principal/Senior Windows Exploit Researcher (Cortex)

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.

Are you an innovative security researcher with a deep understanding of the cyber threat landscape and a passion for protecting modern environments? Do you want to tackle the challenge of securing enterprise networks against evolving threats?
We are seeking a highly skilled professional to focus on the critical, fast-paced domain of Virtualization Security. As a foundational member of a newly formed and growing team, you will explore the 'blue ocean' of threat detection, pioneering next-generation capabilities within the worlds largest cybersecurity enterprise. 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 Responsibilities
Conduct deep research into virtualization technologies, and targeted attacks to fortify our attack prevention mechanisms.
Stay current with the latest attacker methodologies, APT campaigns, and Tactics, Techniques, and Procedures (TTPs) targeting virtualization systems.
Analyze emerging threats and malware to identify new techniques and formulate effective detection and prevention strategies.
Leverage AI and big data methodologies to investigate and analyze extensive datasets across our customer base.
Design cutting-edge protection components and develop sophisticated detection rules to enhance the effectiveness of our security solutions.
Drive the research and development of novel protection concepts, seeing them through to production-grade quality, and serve as a subject matter expert in the field.
Play a pivotal role in shaping the future of our security product offerings.
Collaborate closely with Engineering, Product Management, and other research teams to seamlessly translate research findings and insights into new production features.

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 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.).

Required Senior Malware Researcher
The Dream Job
As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Dream-Maker Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Required Malware Researcher- CTI
The Dream Job
As a Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
The Dream-Maker Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
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
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

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 companys 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 companys 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 looking for a Security Researcher to join our Windows EDR behavioral detection team. You will create statistics-based classification algorithms to detect new malware, process behavior anomalies, and attackers in enterprise networks using data from multiple Windows endpoints. This involves analyzing attack patterns, finding statistical anomalies, and validating detections against real attacks and APTs on customer data.
Key Responsibilities
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data.
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities.
Take an active role in our collection modules by improving existing ones and investigating new ones to improve detection quality.
Simulate attacks in the lab and conduct a deep analysis of the behavior.
Be part of a diverse research group, improving our research processes to create a better product.
Stay up to date with APTs, attacker methodologies, and TTPs.

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.