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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 Senior Threat Hunting Researcher for Unit 42s Managed Services group, a senior hands-on role combining threat hunting, detection engineering, and incident investigation experience. You will proactively hunt across diverse telemetry to identify suspicious behaviors and emerging threats that evade traditional security. A key part of the role is translating low-fidelity signals into high-fidelity hunting logic and reusable detection opportunities. You will collaborate with multiple teams to share findings, explain coverage, and support response and improvement efforts.
Key Responsibilities
Proactively hunt for suspicious behaviors, malware activity, threat actor tradecraft, and emerging campaign patterns across large-scale customer telemetry.
Build, validate, and tune hunting and detection logic across multiple data sources and security products.
Translate low-fidelity signals, alerts, incidents, and coverage gaps into high-fidelity hunting content and reusable detection opportunities.
Investigate suspicious activity using available telemetry and clearly communicate findings, limitations, and recommended next steps.
Improve detection quality by reducing false positives, increasing signal fidelity, and identifying meaningful coverage gaps.
Collaborate with MDR, Incident Response, Threat Intelligence, Product, and Engineering to improve protection and operational scalability.
Deliver clear, evidence-based reports and technical findings that help customers understand risk and improve defenses.

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.

The Cyber Threat Intelligence Hunter will sit within Unit 42 Managed Threat Hunting and support proactive, intelligence-led hunting across customer environments. This role combines hands-on threat hunting with cyber threat intelligence analysis, helping multinational organizations stay one step ahead of adversaries and cyber threats.
Key Responsibilities
Analyze public and private threat intelligence, Unit 42 research, adversary campaigns, malware activity, infrastructure, indicators, and TTPs.
Translate threat intelligence into actionable hunting hypotheses, investigation workflows, hunting queries, and customer-facing findings.
Execute existing threat hunting reports and hunting workflows, investigate results, and support timely customer reporting.
Investigate scheduled hunt detections and compose clear, professional reports when relevant.
Investigate hunting leads based on IOCs, threat intelligence, internal detections, customer telemetry, and emerging adversary behaviors.
Monitor the threat landscape and prepare initial context for emerging campaigns, enabling the global team to continue deeper investigation and hunting.
Collaborate with threat hunters, detection engineers, incident responders, MDR, and Unit 42 researchers to operationalize intelligence quickly and effectively.
Escalate major, unclear, or high-impact security events to the Threat Hunting leadership team when necessary.
Provide ongoing feedback on findings, hunting reports, queries, intelligence workflows, and operational processes to support continuous improvement.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join 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
Contribute to 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 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.
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content.
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Share insights with the security community through blogs, conference talks, and publications.

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.

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.