לוח משרות דרושים הייטק אבטחת מידע / סייבר, לחיפוש זה נמצאו 421 משרות

We are looking for a Research Team Lead to establish and lead a cross-product research team focused on horizontal, high-impact initiatives that influence multiple our company offerings.
Unlike product-embedded research roles, this team drives foundational and strategic research projects across networking, security, identity, automation, and AI-driven capabilities. Examples include large-scale reasoning systems, autonomous policy frameworks, cross-domain detection and response concepts (xOps), and platform-wide intelligence capabilities.
You will combine deep technical expertise with strong leadership and execution skills -identifying impactful research directions, building a high-performing team, and turning advanced research into real platform capabilities used by thousands of customers worldwide.
Responsibilities
Technical Vision & Strategy
Define and execute the roadmap for cross-product research initiatives.
Identify high-leverage research opportunities that impact multiple domains and products.
Drive long-term architectural thinking and influence platform evolution.
Balance innovation, experimentation, and production-readiness.
Team Leadership
Recruit, mentor, and grow a multidisciplinary team of researchers (AI, data, algorithms, networking, security).
Establish high standards for research rigor, experimentation methodology, and engineering quality.
Foster a culture of ownership, collaboration, and technical excellence.
Research & Execution
Lead complex, ambiguous research initiatives from ideation through validation and productionization.
Design large-scale experiments and validation methodologies using our companys data platform.
Drive innovation in areas such as:
Autonomous policy systems
Cross-domain detection and response frameworks
Large-scale reasoning and decision systems
Data-driven optimization and automation capabilities
Ensure research outcomes are measurable, scalable, and aligned with business impact.
Cross-Functional Collaboration
Work closely with Product, Engineering, Architecture, and Product Research teams to translate research into shipped capabilities.
Provide technical guidance and influence cross-organizational decisions.
Act as a bridge between exploratory research and production systems.
Communication & Influence
Present research findings and strategic recommendations to senior leadership.
Produce clear technical documentation, design proposals, and internal position papers.
Represent Platform Research as a center of excellence for cross-product innovation.

we are looking for a high-energy, talented people to join the company 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 company 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 our company 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 companys 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 company Data Warehouse with big-data technologies to support your work.

we are looking for a network and Security Researcher. 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
Monitor and analyze the evolving cybersecurity threat landscape, with a focus on threat intelligence and AI-related security trends
Research threat actors, attack techniques, campaigns, and emerging threats using external intelligence and internal data
Analyze our companys internal data warehouse to identify security trends, attack patterns, and actionable insights
Use SQL, scripting, and AI tools to support threat research, data analysis, and automation
Build internal tools, workflows, or AI agents to improve research efficiency and data investigation
Produce high-quality threat research content, including blogs, reports, and customer-facing insights
Present research findings at conferences, webinars, company events, and internal sessions
Collaborate with SOC, product, research, and data teams to improve detections and product intelligence
Independently manage research projects from idea to analysis, publication, and presentation.

We are seeking a highly experienced Microsoft 365 Cloud Security Engineer to own the administration, configuration, and security of our enterprise Microsoft 365 tenant(s). The ideal candidate has proven hands-on expertise managing Microsoft 365 at scale, including Intune, Exchange Online, SharePoint/OneDrive, Teams, Entra ID, Defender, and related integrations
You will play a key role in ensuring availability, governance, identity and access control, endpoint compliance, and modern security posture across the entire Microsoft cloud ecosystem, with close collaboration across IT, Security, and business stakeholders.
Key Responsibilities:
Microsoft 365 Tenant Administration:
Administer and maintain enterprise-scale M365 tenants, including configuration, governance, and operational support.
Oversee service health, usage reporting, licensing, and user lifecycle management.
Maintain documentation of configurations, workflows, and operational procedures.
Microsoft Intune / Endpoint Management (Full Scope):
Own all aspects of Intune administration, including:
Device enrolment (Windows, macOS, iOS/iPadOS, Android)
Configuration profiles, compliance policies, and security baselines
Autopilot provisioning, device naming policies, and lifecycle
Conditional Access integration with device compliance
Endpoint security policies (AV, firewall, ASR rules, BitLocker, etc.)
Identity & Access Management (Entra ID / SSO):
Manage and secure Microsoft Entra ID (Azure AD) for identity, authentication, and access governance.
Configure and maintain SSO integrations with SaaS applications using SAML/OAuth/OIDC.
Implement and optimize:
Conditional Access policies
MFA enforcement and authentication methods policy
Privileged Identity Management
Identity Protection policies (risk-based controls)
Security & Threat Protection:
Deploy and manage Microsoft Defender stack relevant to the organization
Integrate and manage endpoint security posture with non-Microsoft EDR platforms, such as Sentinel One/CrowdStrike
Collaborate with Security teams to implement detection and response workflows, ensure coverage, and align with organizational policy.
Messaging & Collaboration
Exchange Online:
Administer Exchange Online policies and configurations
Implement email security best practices and support incident response when needed.
Microsoft Teams:
Administer Teams policies and governance - Teams lifecycle policy, app permissions, meeting policies; External access and guest collaboration settings.

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.

As a Solution Engineer for Next-Gen Trust Security (NGTS), you are the premier technical subject matter expert for our company's Machine Identity Management portfolio. Following our integration with CyberArk, you will lead the technical charge in transforming how enterprises manage cryptographic trust.
You will be responsible for defining technical solutions that secure critical business imperatives, evangelizing our "better together" integration of Certificate Lifecycle Management (CLM) and Zero-Touch Public Key Infrastructure (ZTPKI) within the Strata Cloud Manager (SCM) platform. You will serve as the technical bridge between the Network Security teams and Identity stakeholders, ensuring that enforcement systems (NGFW/SASE) stay synchronized as certificate lifecycles compress.
Your Impact
Technical Win Leadership: Lead Proof of Value (PoV) engagements and technical validations for NGTS, ensuring a high technical win rate by demonstrating operational resilience and outage elimination.
Solution Architecture: Design unified cryptographic governance models within Strata Cloud Manager that align certificate operations with network enforcement.
Strategic Execution: Identify critical projects and actions required to achieve a customer's desired security end-state; eliminate sales obstacles through creative and adaptive problem-solving.
Market Evangelism: Act as a thought leader on the "Cryptographic Reset," educating CISOs and VP-level stakeholders on the risks of 47-day certificate lifecycles and the path to Post-Quantum Cryptography (PQC).
Product Advocacy: Share industry experience regarding customer usage patterns to provide feedback to product teams on how to make NGTS/MIM easier for customers to adopt fully.
Strategic Discovery: Conduct deep-dive discovery sessions to uncover unmanaged or "rogue" certificates using network-native discovery tools.
Cross-Functional Collaboration: Partner with Solutions Consultants (SCs), Account Managers, and the CyberArk MIM Specialist team to build and execute account-based pursuit strategies.
Platformization: Drive the adoption of Secure Flex credits by showing customers how to consolidate siloed CLM/PKI tools into a centralized control plane.

We help organizations reinvent themselves. Through data, technology, and strategic thinking, we lead transformation processes that reshape how organizations operate, make decisions, and grow. If youre looking to work in an environment that encourages initiative, challenges ideas, and creates real impact - this is the place for you. Integrity, excellence, and innovation are not just values - they are our standard. We are looking for a Cloud Security Engineer who combines strong technical skills with a client-facing mindset, to help design, secure, and evolve cloud environments for leading organizations. This role offers exposure to real-world enterprise challenges across Azure, Microsoft 365, and modern security architectures, with growing involvement in AI security topics. What youll do:
* Work hands-on with clients to design and secure Azure and Microsoft 365 environments
* Deliver cloud security solutions across identity, data protection, and monitoring
* Conduct security assessments and configuration reviews in enterprise environments
* Support architecture design and implementation of security controls
* Act as a trusted technical advisor for clients
* Take part in projects involving AI systems, focusing on risks, data protection, and security best practices
תת מחלקה:
יעוץ סייבר ואבטחת מידע

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.