דרושים » אבטחת מידע וסייבר » security researcher

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
we're looking for a Cyber security researcher to join the research team within our posture management group. our product is ai-driven, and this is a research role on the research team. youll characterize and analyze risks and potential vulnerabilities in enterprise networks (domain- and network-level) and translate those findings into logic built into our product. a core part of the role is helping to build ai agents that emulate threat actors flow and mindset, modeling how a real adversary would reason through and traverse an environment to anticipate and detect those paths.
5+ years of experience, including hands-on experience as a security researcher (red team, penetration testing, exploit research, or similar).
implement methods and algorithms to discover network topology, relationships between devices, and potential lateral movement paths
conduct network security assessments to identify weaknesses in customers network infrastructure and recommend mitigations to monitor and limit unauthorized access.
research and characterize attack techniques, misconfigurations, and vulnerabilities across enterprise domain and network environments (e.g., active directory, network segmentation, identity infrastructure, exposed services).
build poc exploits/attack chains to validate risk hypotheses before they're modeled into the product. collaborate with product and engineering teams to define how identified risks should be surfaced, prioritized, and remediated for customers.
produce clear technical documentation of research findings, attack paths, and proposed detection logic.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
we are hiring a threat researcher who is passionate about turning raw threat data into clear intelligence and operational outcomes. youll play a major role in advancing our next-gen detection platform across threat actor attribution, adversary infrastructure analysis, external attack surface management (easm), and stix-based knowledge management.
investigate and analyze emerging threats and malicious techniques, and define technical requirements to mitigate them.
execute the detection research roadmap across threat actor attribution, adversary infrastructure analysis, easm insights, and stix-based knowledge management.
conduct in-depth infrastructure and campaign analysis, including domain/ip relationships, hosting patterns, and certificates.
design and shape ai-driven security agents by encoding expert threat actor and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies.
work closely with developers and data scientists to produce ai detection models.
architect and build scalable solutions to evaluate platform security metrics.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
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 the company's malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation ai-driven "artificial cyber researchers".
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.
7+ years of experience in Cyber security, with significant hands-on experience in malware research focused on apts and state-linked actors.
strong proficiency with re tools such as ida pro, ghidra, x64dbg/windbg, and common dynamic analysis/sandbox environments.
deep understanding of os internals (windows/ Linux / Android /mac), common persistence and execution techniques, and modern offensive tradecraft.
demonstrated experience extracting configs, c2 endpoints, and capabilities from both compiled and scripted malware.
strong investigative mindset, attention to detail, and ability to work with incomplete or obfuscated data.
experience researching or defending government or critical infrastructure organizations- advantage.
if you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, wed love to hear from you!

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
as a senior threat intelligence researcher, you will be responsible for tracking advanced adversaries and leveraging your deep technical expertise across attacker capabilities, infrastructure, and tactics. you will create and refine approaches to uncover and monitor active threat actors, as well as surface irregular and emerging behaviors in the broader threat landscape. the intelligence you generate will directly strengthen the company's understanding of threat actors and will inform proactive hunting, detection engineering, and defensive decision-making.
lead complex threat intelligence investigations through in-depth analysis of the global threat landscape, with a focus on advanced and state-linked actors.
define and prioritize threat research focus areas (actors, campaigns, sectors, techniques) aligned with the company's customers and product roadmap.
deliver actionable cyber threat intelligence and design and execute hunting campaigns using analytics, automation, and advanced ai capabilities.
curate and maintain structured knowledge on actors, campaigns, infrastructure, and ttps in the company's internal threat knowledge base.
work closely with cyberai researchers on the development of next-generation artificial cyber researchers and ai-driven analysis capabilities.

We are looking for a hands-on security researcher who combines an attacker mindset, fraud-domain curiosity, strong technical depth, and data analysis skills. You will investigate real-world fraud patterns, reproduce attacker techniques, analyze telemetry, enrich our data collection capabilities, discover new security signals, and work closely with product, data, and engineering teams to turn research insights into production-grade detection and prevention mechanisms.

This role is especially relevant for researchers with experience in browser technologies, mobile-native applications, or both. You may work on desktop and mobile browsers, browser APIs, browser automation, client-side signals, native mobile applications, Android/iOS behavior, mobile security, emulators, device signals, and mobile automation.

You will help expand our visibility into new signals and patterns that improve fraud detection, model performance, and customer protection.

If you are a talented researcher who enjoys solving complex problems, working with messy real-world data, and building practical defenses against modern fraud and abuse, we want you to join our team.



What youll do:

Research emerging fraud and abuse techniques across account takeover, bots, automation, phishing, social engineering, device spoofing, emulators, remote access tools, suspicious network infrastructure, and related attack vectors.
Identify, design, and validate new data collection opportunities, security signals, behavioral patterns, device indicators, browser indicators, and mobile app indicators.
Analyze real-world telemetry, customer-provided labels, behavioral signals, device signals, network indicators, and attack patterns to identify detection opportunities.
Reproduce attacker techniques in lab and production-like environments, generate telemetry, identify detection gaps, and translate findings into detection logic.
Design, validate, and tune detection and prevention mechanisms with attention to coverage, explainability, false positives, customer impact, and production stability.
Build research infrastructure, analysis workflows, and internal tools using Python.
Produce robust data features that can later be used by machine learning models, detection logic, rules, dashboards, and customer-facing insights.
Work with model training pipelines, evaluate model behavior, compare training and validation results, and help determine whether new features improve detection quality.
Collaborate closely with data science, engineering and product, teams to take ideas from research hypothesis through validation, implementation, monitoring, and production feedback.
Stay up to date with fraud trends, attacker tooling, automation frameworks, browser abuse techniques, mobile abuse techniques, malware behavior, phishing techniques, and underground ecosystem developments.
Communicate findings clearly to technical and non-technical stakeholders, including recommended actions, tradeoffs, expected impact, and model/detection quality considerations.

We are looking for a high-energy, talented people to join the Security team. As a Security Engineer, you will take part in product content development and build logics and signatures to mitigate emerging security threats. Your work outcome will feed our Cloud security products such as the IPS and Suspicious Activity Monitoring with the latest protections. You will analyze protocols and investigate various attacks utilizing network analysis tools and modern data analysis frameworks. Joining us is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security.
Responsibilities:
Research and analyze new threats and develop product content such as IPS signatures and logic to provide the best protection for our customers.
Enhance product accuracy and its ability to detect new threats in the dynamically-changed security landscape.
Monitor your work using different monitoring tools and methods over the cloud.
Utilize our Data Warehouse with big-data technologies to support your work.

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 us, 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 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.

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.