דרושים » אבטחת מידע וסייבר » Security Researcher

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.

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.

The Exposure Management Research Group at our company Software Technologies is expanding. We are looking for an experienced Offensive Security Researcher to join our newly formed AEV Team and lead the offensive side of our Agentic Exposure Validation (AEV) research.
About the group
The Exposure Management Research Group is the research arm behind our company's Exposure Management platform. The platform helps organizations see and reduce their risk from the outside in, across their external attack surface, threat intelligence, and digital risk. The group brings together vulnerability researchers, threat intelligence analysts, phishing researchers, and data scientists. Together, we track threat actors and campaigns, analyze vulnerabilities and active exploitation, and turn that research into detections, intelligence, and validation capabilities that serve thousands of customers worldwide. Our work relies heavily on data science, machine learning, and agentic AI to operate at scale.
About the position
Exposure validation goes beyond identifying that a vulnerability exists. Its purpose is to show whether an attacker could actually exploit that vulnerability, and how far they could get. In this position, you are responsible for bringing real offensive expertise into our AEV capability, which runs on an agentic AI system that validates exposures across our customers' environments.
You conduct hands-on offensive research, define the exploitation methodologies the system follows, and set the standard for what a validated, customer-ready finding looks like. You also work closely with our threat intelligence and detection teams, so that proven attack paths turn into protections for our customers.
This is a research position with direct product impact. It combines practical red team work with shaping how an AI-driven platform conducts, reasons about, and reports offensive activity.
What you'll do
Design and run offensive research against external attack surfaces: web applications, APIs, cloud-exposed services, identity, and edge infrastructure
Turn single findings into demonstrated impact through exploit chaining, lateral movement, and blast-radius analysis
Write and maintain the exploitation methodologies and attack hypotheses our agentic AEV engine runs on
Review agent runs and findings. Separate proven impact from claimed impact, and turn the gaps you find into better prompts, methods, and guardrails
Set the bar for customer-ready findings: a clear impact story, a reproducible chain, and remediation guidance a security team can act on
Work with threat intelligence researchers to turn in-the-wild attacker behavior (named actors, active campaigns, newly exploited vulnerabilities) into validation plays
Help close the purple loop by turning proven attack paths into detection and protection logic, and working with detection engineering on coverage
Contribute to the team's research output, including internal knowledge sharing and, where it fits, external publications and talks.

Were growing and looking to hire a Vulnerability Research Team Lead who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
As a Vulnerability Research Team Lead, you will lead a world-class group of vulnerability researchers in analyzing complex cyber-physical systems. You will balance hands-on technical excellence with people management, guiding your team through deep-dive disassembly, code audits, and exploit development. You will be responsible for the team's research roadmap, ensuring we stay ahead of emerging threats while fostering a culture of innovation and professional growth.
Responsibilities
As a Vulnerability Research Team Lead, your impact will be:
Leadership & Mentorship: Lead, hire, and develop a team of high-performing Vulnerability Researchers, fostering a collaborative and high-standard environment.
Research Strategy: Define and execute the team's research roadmap, prioritizing targets that provide the highest value to our customers and products.
Technical Oversight: Provide expert guidance on static/dynamic analysis, reverse engineering, and exploit development projects.
Cross-Functional Collaboration: Work closely with R&D, Product Management, and Threat Intelligence teams to translate research findings into actionable security features.
Thought Leadership: Represent our research in the industry through blogs, whitepapers, or conference presentations (BlackHat, DEF CON, etc.).

As Security Research Team Lead at our company, you will lead the team turning security research and enterprise security data into actionable insights and product capabilities. You will combine people management with hands-on technical leadership, helping customers understand their exposure and get more value from their security tools.
Were looking for a leader with a strong background in cybersecurity research, deep understanding of enterprise security tools, and a data-driven approach to solving problems. You should be equally comfortable mentoring researchers, shaping a research roadmap, and joining customer calls to explain findings and understand real-world challenges.
What You'll Do
Lead and Develop the Team: Manage, mentor, and grow a team of security researchers. Set clear goals, provide technical guidance and feedback, and build a culture of rigor, curiosity, and ownership.
Own the Research Roadmap: Define and prioritize research initiatives in partnership with product and engineering. Balance customer needs, emerging threats, and strategic opportunities, taking projects from initial investigation through production delivery.
Drive Security Tool Research: Lead deep research into enterprise security platforms, including EDR, SIEM, firewalls, IAM, and vulnerability management tools. Assess configurations, policies, coverage, and defensive capabilities to identify gaps and improve security effectiveness.
Engage Directly with Customers: Lead technical customer discussions, explain findings clearly, investigate complex questions, and turn feedback into research and product improvements.
Turn Data into Security Insights: Guide how the team collects, models, correlates, and validates security data. Translate fragmented telemetry and configuration data into reliable assessments, prioritized findings, and actionable recommendations.
Shape Integrations and Product Capabilities: Own the research requirements and security logic behind integrations, security control assessments, and exposure prioritization. Work closely with engineering to ensure research translates into accurate, scalable product features.
Set Research Quality Standards: Establish methods for validating findings, testing assumptions, and measuring accuracy. Ensure conclusions are supported by evidence and recommendations account for customer context and operational constraints.
Guide AI-Powered Research and Workflows: Shape the security knowledge, reasoning logic, and evaluation methods behind our companys AI-powered capabilities, ensuring outputs are accurate, explainable, and useful.
Partner Across our company: Collaborate with product, engineering, data, and customer-facing teams to align priorities, resolve technical challenges, and deliver meaningful customer outcomes.

Required Principal / Sr. Principal Security Research - Advanced Cyber Research (Cortex)
We are seeking a visionary and highly technical Principal / Sr. Principal Security Researcher to join our security research team. In this role, you will be at the forefront of innovating automated defense systems to rapidly protect platform customers against advanced cyber threats at an unprecedented scale. This position offers a unique opportunity to blend deep traditional cybersecurity expertise - including OS internals, reverse engineering, and advanced detection engineering with cutting-edge AI technologies like LLMs, SLMs, and agentic workflows.
You will spearhead the creation of innovative prevention solutions, leveraging massive streams of agent telemetry to design AI-driven logic that neutralizes threats before they execute. As a key technical leader, you will partner closely with top-tier data scientists and product engineers to translate cutting-edge security research into production-grade capabilities, ensuring we stay ahead of the evolving threat landscape.
Key Responsibilities:
Develop Automated Defense Systems:Create, engineer, and deploy automated solutions for the prevention and detection of advanced cyber threats, analyzing complex data to rapidly protect platform customers at scale.
Innovate with AI:Partner closely with data scientists to leverage LLMs, SLMs & deeplearning techniques to fuel these advanced prevention solutions and automated defense capabilities.
Research, develop, and continuously improve the Agentix solution. Drive the development of next-generation security content by designing and implementing specialized AI agents to automate security operations and workflows.
Drive Security Innovations:Spearhead new research initiatives from the ground up. Act as the primary driver across key stakeholders, leading top-tier data scientists and engineers to ensure the successful delivery of enterprise-grade security capabilities.

Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream.

Required Senior Security Researcher
Description
About us
We are building autonomous AI hackers that think like the world's best offensive security experts, act like them, and then help fix what they find before the real ones do. If this mission speaks to you, come defend the world's software: autonomously, continuously, and in-depth.
About the role:
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 our unique capabilities and security philosophy.
Public Advocacy: Represent our 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.

We are seeking a visionary and highly technical Principal / Sr. Principal Security Researcher to join our security research team. In this role, you will be at the forefront of innovating automated defense systems to rapidly protect platform customers against advanced cyber threats at an unprecedented scale. This position offers a unique opportunity to blend deep traditional cybersecurity expertise - including OS internals, reverse engineering, and advanced detection engineering with cutting-edge AI technologies like LLMs, SLMs, and agentic workflows.
You will spearhead the creation of innovative prevention solutions, leveraging massive streams of agent telemetry to design AI-driven logic that neutralizes threats before they execute. As a key technical leader, you will partner closely with top-tier data scientists and product engineers to translate cutting-edge security research into production-grade capabilities, ensuring we stay ahead of the evolving threat landscape.
Key Responsibilities
Develop Automated Defense Systems:Create, engineer, and deploy automated solutions for the prevention and detection of advanced cyber threats, analyzing complex data to rapidly protect platform customers at scale.
Innovate with AI:Partner closely with data scientists to leverage LLMs, SLMs & deeplearning techniques to fuel these advanced prevention solutions and automated defense capabilities.
Enhance Palo Alto Networks Agentix:Research, develop, and continuously improve the Agentix solution. Drive the development of next-generation security content by designing and implementing specialized AI agents to automate security operations and workflows.
Drive Security Innovations:Spearhead new research initiatives from the ground up. Act as the primary driver across key stakeholders, leading top-tier data scientists and engineers to ensure the successful delivery of enterprise-grade security capabilities.

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.

WHAT YOU WILL DO
Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.