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לפני 15 שעות
חברה חסויה
Location: Merkaz
Become a part of our award winning network data research team, and use our network analysis tools along side big data systems.
The position requires deep understanding of network data that will support you in identifying attacks and anomalies through analysis of huge data using both established research tools and self-developed ones.
Requirements:
Deep understanding of network (IP), transport (TCP/UDP) and application layer protocols
At least two years of practical experience with Big Data systems, like Elastic, SQL or Splunk
Experience in research/detection of cybersecurity incidents
Fluent in written English language
כישורים נדרשים
Technological degree (preference for C.S) or a relevant experience in army service
Understanding of Data Science and automation tools: Jupyter, Scipy
Familiarity with IDS tools: Snort, Suricata
Experience with full packet capture (PCAP) analysis, using Wireshark.
This position is open to all candidates.
 
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לפני 20 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a CyOps Analyst, you will be investigating security alerts from the Cynet platform in order to detect threats and conduct live incident response engagements, investigating and analyzing programs and software using analysis programs to identify threats and classify malware based on previous threats and commonalities, investigating and issuing threat intelligence and malware analysis report. The SOC works closely with the Research team to perform tests and uncover new attack vectors to enhance, develop, and configure threat hunting tools. Additional responsibilities include:
* Identifying unknown threats for our global clients through advanced threat hunting services to complement the standard Security Operations Center services.
* Performing analysis and forensics on security threats, malware and attacks in the wild, using industry standard platforms and tools.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.
Requirements:
* Ability to work through shifts at a 24/7 SOC service, including weekends and public holidays
* 1+ year of technical experience within the network, IT, or cyber security domains
* Strong understanding of network architecture and protocols (e.g. HTTP, DNS)
* Hands-on approach to problem solving
* Ability to understand and learn complex technological systems and identify critical areas
* Exceptional analytical skills, creative out of the box thinking, analytical mindset with research orientation
* Strong presentation and training skills
* Experience in operating security tools (e.g. FW, IDS, SIEM, Endpoint protection)
* Fluent English (written and spoken) - a must
* Experience in exposing and exploiting vulnerabilities – advantage
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a MXDR Analyst to join the team of cybersecurity analysts monitoring services 24/7. The role includes development of detection analyses, triage of alerts, investigation of security incidents, proactive threat hunting and enhancement of sensors and overall visibility status. The suitable candidate should be a team player with previous experience in SOC, SecOps or security monitoring, independent, and with a can-do attitude.
Responsibilities:
Working across all areas of SOC, including continuous monitoring and analysis, threat hunting, security compliance, security event auditing and analysis, rule development and tuning, and forensics.
Solving security incidents in accordance with defined service level agreements and objectives.
Prioritizing and differentiating between potential incidents and false alarms.
Addressing clients enquiries via phone, email, and live chat.
Working side-by-side with customers, providing insightful incident reports.
Working closely with peers and higher-tier analysts to ensure that your analysis work meets quality standards.
Identifying opportunities for improvement and automation within the MXDR Operation Lead, and leading efforts to operationalize ideas.
Identifying and offering solutions to gaps in current capabilities, visibility, and security posture.
Correlating information from disparate sources to develop novel detection methods.
Requirements:
At least one year of experience in a SOC/MDR or Managed EDR service, including night and weekend shifts.
Strong analytical thinker, problem-solving mindset, and ability to succeed in a dynamic environment.
Independent, bright and positive analyst who strives for excellence.
Proficiency and experience with scripting (Python).
Strong capabilities in drafting cyber security reports for clients.
Basic understanding of the lifecycle of advanced security threats, attack vectors, and methods of exploitation.
Hands-on experience working with SIEM technologies. (e.g. Splunk, QRadar, ArcSight, Exabeam, etc.)
Familiarity with common data and log sources for monitoring, detection and analysis (e.g., Event Logs, firewall, EDR).
Strong technical understanding of network fundamentals, common internet protocols, and system and security controls.
Basic knowledge of host-based forensics and OS artifacts.
Familiarity with cloud infrastructure, web application and servers - an advantage.
Fluent English (written, spoken) - a must. Another language - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Threat Hunting Expert to join our team and shape the future of threat detection. In this role, you'll be at the forefront of identifying and analyzing emerging threats, helping to shape the features of our Threat Detection platform. You'll be crafting detection logic and hunting strategies that enable security teams to identify and respond to advanced threats across their entire environment.


WHAT YOU WILL DO

Work directly with customers to help them solve concrete security pain points and operational use cases using , primarily during POVs and onboarding.
Perform advanced threat hunting across customer datasets to identify meaningful security findings, including compromise evidence, exploitation indications, suspicious activities, and visibility or posture gaps.
Build and evolve internal tools and AI-powered capabilities that support threat hunting, anomaly detection, and exploratory analysis.
Translate immediate customer security needs into ad-hoc security content, including detections, threat hunting notebooks, and investigative workflows.
Participate in customer-facing sessions alongside Sales Engineers and Technical Account Managers to present findings, explain security context, and walk through capabilities and content.
Deliver technical demonstrations, workshops, trainings, and hands-on sessions that show customers how to use for their security workflows.
Research emerging threats, including new CVEs and active campaigns, in collaboration with the CTI team, and translate them into immediate detections and threat hunting content.
Publish public-facing technical content on threat hunting and SecOps, including blog posts, webinars, open-source tools, and research findings.
Requirements:
At least 6 years of hands-on experience in security operations, threat hunting, incident response, or detection engineering, working with real production data.
Strong hands-on experience investigating security events, performing advanced threat hunting, and identifying meaningful findings.
Deep familiarity with common attack techniques, attacker behavior, and modern threat landscapes across endpoint, identity, network, cloud, and application environments.
Comprehensive knowledge of security controls and security architectures across cloud, network, identity, application, and endpoint environments.
Experience working with large-scale security datasets and performing exploratory analysis, anomaly detection, and investigative research.
Ability to write efficient, readable code and scripts for analysis, automation, and internal tooling used by the team.
Comfort working directly with customers in technical discussions, explaining findings, tradeoffs, and investigative approaches clearly and practically.
Experience collaborating with product, engineering, or research teams to influence tooling, workflows, and platform capabilities.
Strong written communication skills, with the ability to produce clear technical documentation and public-facing content when needed.
Excellent English communication skills, both written and verbal.
Curiosity and initiative to research emerging threats, new techniques, and evolving attacker behavior, and apply that research in practice.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are expanding our Fraud Intelligence Unit and need passionate, sales-focused, fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for conducting deep-dive, targeted analysis of fraud patterns to support high-impact, engagement strategies for prospective customers, with the goal of supporting the sales team and business in securing revenue growth. Unlike broader trend analysis roles within the team, this position focuses on generating highly tailored insights for a defined set of priority prospects, helping articulate the need for our advanced fraud and financial crime prevention solutions.

You will work closely with internal stakeholders to analyse us and external data with a hypothesis-driven approach, uncovering specific vulnerabilities, attack patterns, and risk exposures relevant to individual organisations or segments. Your work will translate complex data into compelling, evidence-based narratives that highlight both the impact of fraud and the urgency of addressing it.

Key responsibilities:
Support the Sales team in the generation and progression of revenue-generating opportunities.
Conduct deep, targeted analysis of our data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
Apply advanced analytical techniques and hypothesis-driven investigation to uncover insights that are not visible through high-level trend analysis.
Leverage AI-assisted analytical tools to enhance the scale and speed of analysis, while applying rigorous data validation and expert judgment to ensure accuracy and relevance.
Translate analytical findings into tailored, prospect-relevant narratives that clearly articulate fraud exposure, business impact, and the value of mitigation strategies.
Develop insight-driven materials that support commercial engagement, including customer-specific briefings, strategic reports, and pre-sales narratives.
Collaborate closely with sales, marketing, and regional teams to align analytical tasks with customer priorities and commercial objectives.
Design and develop effective data visualisations that simplify complex findings and strengthen the impact of customer-facing storytelling.
Present findings internally as well as directly to customers, demonstrating credibility through data-backed insights and clear articulation of fraud risks.
Build and maintain analytical frameworks, datasets, and repeatable methodologies that support scalable customer-focused analysis.
Identify opportunities to enhance analytical workflows through automation and AI, while ensuring critical thinking and professional judgment guide all conclusions.
Stay current with emerging fraud trends, analytical techniques, and AI capabilities, applying them to continuously improve the precision and impact of insights.
Requirements:
A bachelors/masters degree in a STEM field and/or self-directed technology-focused education in data analytics or programming.
Experience in fraud, financial crime, data analysis, or a related field (banking experience advantageous but not essential depending on analytical strength).
Strong SQL skills (intermediate to advanced).
Experience with Python and/or R (strongly advantageous).
Hands-on experience with AI tools to support research and analysis, with a clear understanding of their capabilities, limitations, and associated risks.
Strong analytical skills with the ability to work with complex, large-scale datasets and extract actionable insights.
Strong written and verbal communication skills, with the ability to translate technical findings into clear, commercially relevant narratives.
Experience in delivering effective messages to executive level audiences.
Ability to create impactful data visualisations that support insight communication.
This position is open to all candidates.
 
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09/07/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
As a DFIR team member, you will participate in hands-on security research and investigations, helping our customers understand and mitigate cyber threats and attacks.

Responsibilities
Perform incident response lifecycle and real-time activities, including detection and analysis, containment and eradication, and recovery
Perform incident response in a cloud environment (Azure, AWS etc.).
Perform digital forensics investigations
Research and analyze tactics, techniques, and procedures (TTPs) used by malicious actors
Perform hunt-evil and find-evil activities for proactively detecting attacks
Work closely with our in-house red team, CTI, and cyber architect teams
Work closely with worldwide companies, CISOs, and technology experts
Requirements:
Qualifications
2-3 years of experience as a DFIR team member
Experience with performing digital forensics in a cloud environment
Experience with performing digital forensics of Windows-based and/or Linux-based platforms, network forensics, and analysis
Thorough understanding of threat hunting models, as well as cyber threat intelligence, including TTP and IoCs extraction and mapping
Experience with research and data analysis of large DBs via Splunk, Elasticsearch, SQL, or VQL
Strong understanding of targeted attacks; able to create customized tactical remediation plans
Good written and verbal English communication skills
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Intelligence Analyst, Threat Intelligence Delivery
About the job
In this role, being onsite and embedded with a customer several days per week, you will leverage our cyber threat intelligence to enable network defenders and customer Cyber Threat Intelligence (CTI) teams to defend against the threats they face. You will be supported and enabled by a network of colleagues and specialists right across Threat Intelligence and will contribute to our wealth of technical skills and CTI knowledge. You will have access to industry leading tooling and data and will work towards delivering on customer priority intelligence requirements. You will be supporting the customer's CTI defensive mission, helping their Security Operations Center (SOC), threat hunters, detection engineers, and CTI analysts counter threats and enable the safe and secure running of their networks and operations.
A recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone.
Responsibilities
Build an understanding of the customers' CTI requirements. Identify their needs and opportunities for deployment of CTI within their operations to have the greatest defensive impact.
Track, research and contribute CTI analysis within Threat Intelligence, of customer's priority threat concerns.
Enable customer SOC analysts and Hunt teams to deploy and leverage our CTI.
Generate CTI and perform analysis of customer data, taking their bespoke sources to identify threat activity, or to build and automate investigative workflows.
Support the integration of CTI into customer's security processes and technologies, including Security Information and Event Management (SIEM) and Threat Intelligence Platform (TIP) systems. Write intelligence reporting against customer requirements, appropriate for their intelligence analysts or executive readers.
Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience in a customer-facing role in cyber intelligence and cyber operations.
Experience working with security operations functions such as SOC tier 1/2, Hunt teams, executive managers, Chief Information Security Officer (CISO).
Experience working in a government or military environment, developing cyber threat intelligence for network, host and log analysis, to enable the detection and response to cyber threats.
Experience analyzing Indicators of Compromise (IOCs ) including sandbox output.
Preferred qualifications:
Experience in leveraging cyber threat intelligence to describe, track and develop new intelligence on advanced persistent threats.
Experience in SOC operations, threat hunting, detection engineering and SOC workflow optimization.
Experience conducting/supporting incident response and investigations within enterprise environments.
Experience with network Intrusion Detection System (IDS) monitoring, Endpoint Detection and Response (EDR) solutions, SIEM, Security Orchestration, Automation, and Response (SOAR) integration, managing, contributing CTI into threat intelligence platform.
Understanding of core cyber security concepts, common enterprise IT infrastructure components, operating system internals and networking.
Eligible to obtain security clearance in Israel as this can be a client requirement.
This position is open to all candidates.
 
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16/07/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Were looking for a Fraud Data Analyst who combines deep technical analytical skills with a strategic mindset and a curiosity for identifying fraud signals and driving trust in the fintech domain. Youll partner closely with product, engineering, and support teams to turn complex data into automated detection models, scalable protocols, and measurable business protection.
As a Fraud Data Analyst, you will be responsible for safeguarding the platform by identifying, investigating, and mitigating fraudulent activity. Your goal is to move beyond manual ticket handling by architecting scalable investigation protocols, automating detection logic, and providing strategic data insights that reduce the teams dependency on manual intervention.
Responsibilities
Lead complex transactional data into insights for suspicious patterns.
Design and maintain Standard Operating Procedures (SOPs) for fraud investigations to ensure consistent, repeatable, and fast resolution times across the team.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders - Product, BE, etc. influencing both tactical and strategic decisions.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.
Requirements:
4+ years of experience in data analytics, with a relevant degree and a strong foundation in statistics.
2+ years in Risk Operations, or Trust & Safety (Fintech/Payments a plus), with a proven track record of preventing 1M+ in annual fraudulent losses.
Proven ability to translate complex fraud patterns into high-performance heuristic rules and decision trees that function in real-time environments without degrading system latency.
Strong command of SQL, Python, and data visualization tools (Tableau).
Proven track record of turning manual processes into automated workflows.
Proficient in using AI/LLM for advanced fraud detection, pattern recognition, accelerating analytical workflows.
Experience working with a transaction volume of at least 10M/day at scale.
Advantages
Experience with European and International fintech regulations (e.g. GDPR) and their impact on fraud monitoring and user data privacy.
Experience mentoring analysts or leading analytical projects.
A deep interest in fraud, AI, or communication apps.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
5+ years of experience in cybersecurity research, with a proven track record of impactful projects.
Good knowledge of Linux OS internals, including both user and kernel space.
Solid knowledge of the cyber threat landscape, modern malware techniques, and APTs.
Hands-on experience in real-world threat hunting, incident response, or detection engineering.
Proficiency in programming languages such as Python, C, and/or C++, with a strong understanding of system-level programming and APIs.
Excellent problem-solving skills and a passion for cybersecurity innovation.
Ability to work independently, take initiative, and collaborate effectively in a team environment.
Preferred Qualifications
Background in EDR/XDR products or security solution development.
Experience in reverse engineering, including familiarity with debugging and disassembly tools such as GDB, IDA Pro, or Ghidra.
Experience in advanced data analysis, statistics, or machine learning for security applications.
Experience with Linux kernel development or vulnerability research.
Familiarity with virtualization platforms (e.g., ESXi/vCenter).
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Identity Security Analyst who will focus on investigating and resolving customer-reported security bugs. In this role, youll sit at the intersection of security research, product engineering, and customer success: youll reproduce issues, analyze impact and root cause, coordinate fixes with R&D, and communicate findings back to customers in a clear, actionable way.
This is a hands-on, technical position ideal for someone who enjoys debugging, incident-style investigations, and direct customer impact.
Requirements:
2-4+ years in a technical security or support role, such as:
Security Analyst / SOC Analyst
Security Engineer
Technical Support Engineer in a security or infrastructure product
Solid understanding of:
Identity and access concepts (Active Directory, authentication, privileges, groups)
Basic networking and protocols (TCP/IP, DNS, HTTP/S, SMB, LDAP/LDAPS)
Scripting and automation skills in PowerShell to speed up investigation and test setup.
Hands-on experience with:
Debugging and reproducing complex customer issues in lab environments
Strong analytical and problem-solving skills; able to systematically break down ambiguous issues.
Excellent written and verbal communication skills in English; able to explain complex technical findings to both technical and non-technical audiences.
Preferred Qualifications:
Experience with enterprise security products, especially in one or more of:
Identity security / AD security
EDR/XDR, SIEM, or network security tools
Operating systems (Windows Server/AD)
Familiarity with MITRE ATT&CK and common attack patterns against AD and identity.
Familiarity with Azure DevOps
Experience working with bug trackers / case management tools.
Prior experience in a customer-facing role (support, consulting, PS) is a strong plus.
Hands-on experience with:
Log analysis (e.g., Windows Event Logs, Sysmon, SIEM)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8757773
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an Incident Response Engineer to join the IR team. This technical role focuses on active investigation, threat mitigation, and the continuous improvement of the security organizations posture through detection engineering and automation development.

The successful candidate will be responsible for the full lifecycle of security incidents, from initial triage to recovery. Beyond reactive response, this role involves tuning SIEM correlation rules and developing SOAR workflows to increase operational efficiency.

What Youll Be Doing
Incident Management: Execute the IR lifecycle (Triage, Containment, Eradication, Recovery) for complex security events.
Technical Investigation: Perform root cause analysis and forensic examination across Windows, Mac, and Linux environments.
Detection & Tuning: Collaborate with the IR team to create, test, and tune SIEM rules and dashboards to reduce false positives and improve visibility.
Automation Engineering: Build and refine SOAR playbooks and automated response actions to streamline repetitive investigation tasks.
Cloud Security: Monitor and mitigate cloud-native threats across Azure, AWS, and GCP environments.
Requirements:
Requirements
Experience as a SecOps/IR Analyst or Engineer with a heavy focus on active investigation.
Deep understanding of the Incident Response lifecycle (Triage, Containment, Eradication, Recovery).
Hands-on experience handling and managing security alerts, performing root cause analysis, and leading investigations.
Experience working across cloud providers (Azure, AWS, GCP) to identify and mitigate cloud-native threats.
Strong knowledge of operating systems (Mac, Windows, Linux) and their respective artifacts.
Proficiency with Splunk or other SIEM platforms for log analysis and threat hunting.
Experience with XSOAR or other security automation tools from an end-user/analyst perspective.
Strong knowledge of security technologies, including EDR, Mail Relay, Vulnerability Scanning, Secure Access, and MDM.
Scripting experience with Python or Bash to assist in data parsing and investigation tasks.

Nice to Have
Detection Engineering: Ability to build and improve SIEM rules, correlations, and dashboards.
Automation Development: Experience developing new SOAR workflows, automated actions, and response playbooks.
Technical Literacy: Familiarity with REST APIs and Regex for advanced querying and tool integration.
Container Security: Familiarity and experience with K8S (Kubernetes).
Consultative Skills: Ability to guide best practices in Cloud Security and SIEM operations.
This position is open to all candidates.
 
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