דרושים » אבטחת מידע וסייבר » Security Researcher

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 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.

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 Palo Alto Networks 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.

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

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 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 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.

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.

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.

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.