דרושים » אבטחת מידע וסייבר » Senior Security Researcher

we are looking for a Security Researcher to join our core R&D team and help build the next generation of cloud runtime protection.
In this role, you'll research vulnerabilities, attack techniques, and emerging threats, turning your findings into real product capabilities through clean, efficient code. You'll work on low-level systems, offensive security research, and help develop the technologies that protect enterprise cloud environments.
If you're passionate about building security products that make a real impact, we'd love to hear from you!

Responsibilities
Research emerging attack techniques, vulnerabilities, and adversary behaviors.
Design and develop new security capabilities to identify sophisticated threats.
Perform reverse engineering and in-depth analysis of malware, exploits, and attack techniques.
Collaborate closely with Product and Engineering teams to translate research into product capabilities.
Build research tools, prototypes, and automation to support security investigations.
Research emerging threats and translate relevant findings into new product capabilities.
Improve detection quality by analyzing false positives, false negatives, and attacker behavior.
Contribute to technical discussions, knowledge sharing, and security best practices across the company.

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're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

As a Product Security Researcher , you will dive deep into the security landscape of modern browsers, operating systems, and enterprise applications to discover novel vulnerabilities, evaluate real-world threat scenarios, and help shape our security posture through innovation and hands-on research. You will be instrumental in driving advanced security initiatives that help maintain position at the cutting edge of secure enterprise computing.

Key Responsibilities:

Vulnerability Research: Identify and analyze vulnerabilities in browser components, system integrations, and third-party libraries relevant to the Enterprise Browser.
Security Testing & Tooling: Develop custom tooling and automation for security testing, fuzzing, and vulnerability detection tailored to our product stack.
Threat Modeling: Collaborate with developers, architects, and the Product Security Lead to assess threat scenarios and attack surfaces for new features and integrations.
Exploit Prototyping: Build proof-of-concepts to validate the impact and exploitability of discovered security issues.
Collaboration & Knowledge Sharing: Support development teams in secure coding practices, and contribute to internal knowledge bases and playbooks.
Security Research Enablement: Stay ahead of the curve by tracking current exploits, security trends, and techniques; attend or present at security conferences and engage with the broader security community.

This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. As an Security Researcher, you will push the boundaries of what autonomous agents can achieve.

Your goal is to conduct cutting-edge research into novel attack vectors and vulnerabilities, using those insights to both sharpen our AI and lead the industry conversation on AI-driven security. Youll work alongside a tight-knit team building excellent software in the security space.

Responsibilites
Original Research: Develop new attack strategies and offensive testing techniques for web, network and AI targets, and translate real-world knowledge into improvements for the AI agent
Thought Leadership: Produce high-quality technical content, including research papers, stage demonstrations, or technical blog posts that showcase unique capabilities and security philosophy.
Public Advocacy: Represent research at major security conferences and industry events.
AI Enhancement: Part of the team improving the AI hacker to make it more dangerous and creative.
Collaboration: Work closely with AI and engineering teams to continuously improve agent capabilities and ensure research findings are integrated into the product.

As a Product Security Low-Level Researcher , you will focus on deep technical research across operating systems, kernels, drivers, and low-level system components that underpin modern enterprise computing. You will investigate complex attack surfaces, uncover subtle and high-impact vulnerabilities, and translate cutting-edge research into practical security improvements for platform. This role emphasizes deep systems knowledge, hands-on experimentation, and original research that pushes beyond application-layer security.



Key Responsibilities:

Low-Level Vulnerability Research: Research and discover vulnerabilities in operating system kernels, drivers, system services, virtualization layers, and low-level system components relevant to execution and trust boundaries.
Kernel & OS Internals Analysis: Analyze kernel subsystems (memory management, scheduling, IPC, filesystems, networking) and OS security primitives to identify design flaws, logic bugs, and exploitation opportunities.
Exploit Development & Validation: Develop proof-of-concept exploits for kernel- and driver-level issues to validate impact, assess exploitability, and inform mitigation strategies.
Security Testing & Tooling: Design and build custom tooling for kernel fuzzing, syscall/interface testing, driver analysis, and low-level instrumentation across supported platforms.
Cryptography & Trust Mechanisms: Assess the implementation and usage of cryptographic primitives, key management, secure boot, attestation, and hardware-backed security features, identifying weaknesses or misuse patterns.
Threat Modeling at the System Level: Collaborate with architects, platform engineers, and the Product Security Lead to model threats across privilege boundaries, boot chains, isolation mechanisms, and OS-level integrations.
Research Enablement & Knowledge Sharing: Track emerging exploitation techniques, kernel research, and advanced persistent threat tradecraft; contribute findings to internal playbooks, design guidance, and long-term security strategy.

As a Security Researcher , you will play a key role in shaping the future of modern runtime and AI security. You will investigate how real-world attacks unfold across applications and cloud environments, and turn those insights into innovative, production-grade security capabilities.

This role is ideal for a deeply technical researcher who is driven to understand attacks at their core - not just identify surface-level indicators. You will research exploitation chains, runtime behavior, attacker techniques, and emerging AI attack patterns, then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work.

Specifically, you will:

Research real-world attack techniques targeting modern applications, cloud-native environments, and AI-driven systems.
Design, develop, validate, and deploy detection algorithms based on technical research, large-scale runtime telemetry, threat intelligence, and exploit PoCs.
Shape the strategy for detection data collection by defining the required telemetry, collection points, and data quality standards needed to support effective protection.
Drive research efforts end-to-end, from initial exploration and technical investigation to production-grade protection capabilities for active threats.
Work closely with engineering and product teams to turn research into practical security capabilities.

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.

We are seeking a Senior/Principal Linux Security Researcher for our Tel Aviv R&D center to advance our Cortex-XDR Agent for the Linux platform, which provides runtime protection to servers and cloud workloads. In this role, you will be a key member of a team responsible for researching, developing, and improving our Anti-Exploit and Anti-Malware capabilities. Your work will involve deep exploration of OS internals, exploits, malware, delving into cloud security, and finding ways to mitigate new attack vectors.
Key Responsibilities
Research, develop, and improve state-of-the-art endpoint security solutions focused on comprehensive prevention. This includes broad defense against attack classes like malware and exploits, spanning from low-level mitigations to application-level security
Research Linux OS internals, kernel, application codebases, vulnerabilities, malware and exploits
Respond to security events coming from customers, in the context of malware and exploitation prevention.