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We are looking for a Windows Malware Security Researcher for our Tel Aviv R&D center. You will be part of a team that is responsible for researching the most recent and advanced cybersecurity threats, as well as designing, developing, and improving Anti-Malware capabilities to protect against them. The position includes researching OS internals, picking apart malware samples, delving into the internals of Windows kernel and user-mode code, and finding ways to mitigate new attack vectors.
The proposed role will be part of the research team of the Cortex XDR endpoint protection solution.
We are seeking a highly skilled and experienced Windows Malware Security Researcher to join our growing Windows malware research team of the Cortex XDR agent group. In this role, you will play a key part in enhancing our Endpoint Detection and Response (EDR) agent by prototyping new protection components and techniques and developing advanced malware prevention strategies. You will work on identifying, analyzing, and mitigating sophisticated threats, working closely with various teams to drive innovation. A deep understanding of the Windows operating system is essential.
Key Responsibilities
Playing a pivotal role in shaping the future of our security solutions.
Enhance the effectiveness of our EDR product by designing cutting-edge protection components and developing sophisticated prevention rules.
Researching OS internals and how Windows works under the hood - leveraging this knowledge to develop and improve our anti-malware mechanisms and capabilities.
Research and lead novel protection ideas to production-grade level, serving as the feature subject matter expert.
Research new malware and APT mitigation techniques and develop corresponding capabilities (POC level), or improve existing mitigation capabilities.
Respond to malware-based security events at clients' networks.
Stay up to date with current malware and APT techniques.
Provide feedback to the product management team on new feature requests and product enhancements from our customer base.
Find new malware techniques and APT attacks, including analysis of caught-in-the-wild malware.
Operate independently end-to-end - from initial threat idea, through research and POC, to handing off a production-ready design to core agent engineering with clear specs, test cases, and edge-case analysis.
Be a team player who lifts others up - happy to jump in when a teammate is stuck on a tricky Windows internals or RE question, share what you've figured out, and generally make the people around you better.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities:
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

We are looking for an experienced and highly driven Head of Security to join our Security leadership team, reporting directly to the CISO.

This is a unique opportunity to play a key leadership role in shaping and scaling the security program of a fast-growing fintech company. As Head of Security, you will serve as the CISO's trusted partner, helping drive the organization's security strategy while leading day-to-day execution across multiple security domains.

Yo will oversee both the Security Operations , Security Engineering and GRC organizations, managing team leads and security professionals across Israel and abroad. This role requires a strong combination of strategic thinking, technical depth, operational excellence, and people leadership.

The ideal candidate brings experience from large-scale, cloud-native environments and has successfully led security programs spanning Security Operations, Security Engineering, Compliance, Risk Management, and Security Architecture. You will work closely with Engineering, Infrastructure, IT, Product, Legal, Compliance, and executive leadership teams to continuously strengthen our security posture while enabling business growth.

What You'll Do
Drive execution of strategic security initiatives across the organization.
Partner closely with the CISO to define and execute our security strategy and roadmap.
Translate business objectives into scalable security programs and controls.
Act as a key stakeholder in security governance, risk management, and decision-making processes.
Help shape the future of Security, including emerging domains such as AI Security and Security Automation.

Organizational Leadership & Business Partnership
Lead and mentor multiple security teams, including Security Operations and Security Engineering, through direct management of team leaders and global security personnel.
Build scalable operating models, KPIs, governance processes, and organizational structures that support Sunbit's rapid growth and global expansion.
Partner closely with Engineering, Infrastructure, Product, IT, Legal, Compliance, Privacy, Risk, and Business leaders to ensure security enables business objectives while managing risk appropriately.
Collaborate extensively with US-based stakeholders and cross-functional teams in a dynamic global environment.
Drive the adoption of AI, automation, and emerging technologies to improve security effectiveness, operational efficiency, and scalability.

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

Seeking a highly motivated Internal Audit Manager to join our global Corporate Internal Audit team, focusing on IT Risks, Processes, Controls, and Enterprise AI Governance. The role involves conducting audits and advisory engagements, developing AI solutions for process review, and assessing risks related to AI and IT systems to support the company's rapid transformation.
Key Responsibilities:
Lead technology audit and advisory engagements across various domains, including cybersecurity, infrastructure, applications, data management, IT transformation, and AI-related risks while advising on practical ways to strengthen governance, resilience, and risk management.
Drive governance and oversight of technology programs and emerging AI risks, including model governance, data governance and quality, privacy, security, and responsible AI.
Develop and implement audit methodologies to assess risks across the entire AI lifecycle, including model design, validation, explainability (XAI), bias, and the security posture of Generative and Agentic AI systems-while ensuring compliance with emerging regulations, ethical guidelines, and industry best practices.
Drive the integration of AI risk management into existing technology audit domains by providing expert advice on control design.
Promote innovation within the internal audit function by applying new tools and techniques, such as agentic AI, data analytics, and automation.
Collaborate with cross-functional teams, including Privacy, IT, Engineering, Finance and Infosec, to identify and address audit observations with timely corrective actions.
Lead research on technology risks and controls to formulate recommendations for process improvements and innovation.

Principal Security Researcher (Cortex - AgentiX)
Job Summary:
As a Principal Security Researcher , you will act as an architect for the Autonomous SOC, focusing directly on Cortex AgentiX. You will design and build intelligent, automated investigation and remediation agents that empower thousands of customers to secure their environments at scale.
We are looking for a practitioner who combines deep hands-on expertise investigating threats and protecting organizations with a pragmatic approach to solving complex security challenges.
Key Responsibilities:
Develop in-product specialized agents to accelerate detection, respond to real-time threats, prioritize, and mitigate risks.
Establish guardrails, continuous evaluation metrics, and deterministic controls for agentic AI, ensuring complex multi-step plans execute reliably.
Drive the complete product development lifecycle, encompassing definition, design, implementation, and testing phases.
Partner cross-functionally with product management, engineering, and research teams.

we are looking for a Cyber Researcher.
As a cyber researcher , you will be at the forefront of research on AI security. You will engage with questions such as how to protect the weights of an advanced model against cyber threats, and how to evaluate cyber capabilities such as AIs ability to exploit vulnerabilities, carry out network attacks, and develop malware. This role sits at a unique intersection of cybersecurity expertise and AI capabilities, where your background in vulnerability and security research will help shape the future of AI security.
Representative projects:
Expanding the quantity, quality, and variety of our cyber capabilities evaluation challenges (e.g. constructing original CTF-style vulnerability & exploitation challenges, network attack simulation challenges, and more, including original types of challenges).
Leading research into methods to mitigate cybersecurity risks related to the misuse of AI, the theft of model weights, or risks associated with integrating models with dangerous capabilities in AI agents.
Publishing your research and/or delivering research to our customers.
Advising and supporting the development of the products were building.

we are looking for a Research Engineer
As a research engineer , you'll be at the forefront of building systems to evaluate and secure frontier AI models. You'll work on infrastructure and experiments to assess model capabilities, implement agent frameworks, and develop mitigations for advanced AI systems. Your role will involve creating robust evaluation pipelines, developing security-focused testing frameworks, and building tools that help understand and mitigate risks related to frontier models. Youll have a chance to understand the research context and your codes impact and contribute as a meaningful part of a growing team.
Representative projects:
Building a tool to continuously evaluate models and mitigate their risks. From designing the APIs for frontier labs, to building analysis and visualization tools that summarize 10,000+ transcripts into specific conclusions.
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Developing controlled environment frameworks for more secure use of frontier models.
Designing and building agents that improve a models ability to complete complex tasks. Includes many potential avenues, such as incorporating SOTA prompting practices, creating tools for task delegation, and more.
Publishing your research and/or delivering research to our customers.

Were looking for a Senior SecOps Engineer to own and evolve the security infrastructure, tooling, and controls that protect engineering environment.
This is a hands-on security engineering role focused on building, implementing, and operating the systems that enable our engineering teams to work securely at scale. Youll work closely with our Infrastructure Engineers and the broader Engineering team to embed security into our infrastructure and development environment without slowing teams down.
Youll take ownership of security tooling and posture management across our environment - from evaluating and deploying new security technologies to continuously improving how we identify, prioritize, and remediate security risks.
Were looking for someone with a strong background in Security Operations, Infrastructure Security, or Security Engineering who has operated and secured modern engineering environments.
Representative Responsibilities:
Own, operate, and continuously improve security infrastructure, tooling, and controls across cloud infrastructure, engineering systems, identity, and endpoints.
Evaluate, implement, and integrate security technologies across our engineering environment.
Own security posture and vulnerability management, including identifying, prioritizing, tracking, and driving remediation of security risks.
Partner closely with Infrastructure and Engineering teams to identify security gaps and implement practical, scalable solutins.
Integrate security tooling into engineering workflows, including vulnerability and dependency scanning tools
Build and improve security monitoring, detection, alerting, and incident response capabilities.
Automate security operations and controls to improve coverage, consistency, and efficiency.

we are looking for a Technical Policy Researcher.
As a Technical Policy researcher at Irregular, you'll tackle some of the biggest and most complex questions of AI development and deployment. Your work outlining problems, solutions and principles for governments, frontier labs, and deployers will shape the emerging field of AI security.
Representative projects:
Threat modeling and fleshing out in what specific way could a strong cyber-capable model cause harm.
Taxonomies for dangerous AI capabilities or mitigations.
Policy proposals for models' refusal policy (which prompts models should refuse to follow).
Following up on publications and news on AI policy, AI risks and mitigations, and technical AI research.
Writing academic papers and blog posts detailing our research around evaluation theory or mitigation recommendations.
Publishing your research and/or delivering research to our customers.

Required Sr MSIAM SOC Engineer (Unit 42)
Job Summary
As a Senior SOC Engineer within Unit 42, you will drive the creation, validation, and optimization of custom detection rules and automated playbooks across our global customer base. Acting as a trusted advisor, you will collaborate closely with clients to maximize their security posture using Cortex XSIAM and Unit 42 expertise. This highly analytical role leverages your deep understanding of detection lifecycles, proactive automation, and threat intelligence to secure enterprise environments. You will architect end-to-end security lifecycles that seamlessly connect data ingestion with high-fidelity detection engineering.
Key Responsibilities:
Own the full lifecycle of custom detections and response automations, deploying them as high-fidelity Cortex XSIAM correlation rules and playbooks through a rigorous engineering process of development, testing, staging, and soft implementation.
Drive the continuous refinement of correlation rules to ensure strict standards for performance, accuracy, and operational relevance.
Translate Unit 42 threat intelligence research and emerging adversary TTPs into actionable, robust detection logic.
Champion proactive automation by engineering sophisticated playbooks to resolve emerging security challenges and optimize operational workflows ahead of demand.
Architect the end-to-end security lifecycle within Cortex XSIAM, seamlessly connecting data ingestion, high-fidelity detection engineering, and sophisticated response automation.

We are looking for a senior researcher to focus on vulnerability research and exploitation in embedded environments.
In this role, you will research proprietary technologies and analyze complex IoT and embedded devices.
You will be responsible for taking your research from initial discovery to a full end-to-end solution in production.