דרושים » אבטחת מידע וסייבר » AI Cyber Security Researcher- Posture

Were looking for a Threat Engineer to assess and develop our state-of-the-art detection solution. In this role, you will own the security coverage of our detection platform and guide development to strengthen our customers' resilience to emerging unknown threats. Your expertise in cyber security will drive our true AI-driven detection platform.
Responsibilities
Work closely with developers and data scientists to produce AI detection models.
Design and shape AI-driven security agents by encoding expert attacker and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies.
Act as a domain expert partner for product and engineering teams, ensuring AI-driven security decisions remain grounded in real attacker tradecraft and operational reality.
Apply your cyber expertise to investigate emerging threats and define technical requirements to mitigate them.
Architect and build scalable solutions for evaluating the platform security metrics.

we are seeking a Threat Researcher to analyze enterprise environments and strengthen network resilience. This role focuses on researching device configurations, network relationships, and lateral movement opportunities, while developing methods and tools to harden infrastructures against advanced threats.
The ideal candidate will also support PoCs by applying research capabilities to real-world govermental environments and working closely with customers to validate threat scenarios and demonstrate cyber value.
Responsibilities
Analyze various network devices, configurations, and security products
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
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Drive threat research efforts in customer and PoC environments to uncover, simulate, and validate real-world attack scenarios, demonstrating cyber value through our company Securitys platform capabilities
Translate technical research findings into actionable insights for customer-specific environments.
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams
Produce technical reports and research publications to share findings and methodologies.

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

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 looking for an Offensive Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques. You will build offensive breach scenarios, with a particular emphasis on cloud environments (AWS, Azure, GCP) and adversarial techniques against AI systems and agents, integrating the latest security knowledge into the platform of threats and 1-day exploits. The role sits alongside our core threat research team and contributes to the full Hacker's Playbook across Windows, Linux, and AD red teaming as well.

The Impact You Will Have:
Lead research in Cloud offensive techniques across AWS, Azure, and GCP: privilege escalation paths, identity abuse, metadata service attacks, lateral movement across cloud-native services.
Drive offensive AI research: building adversarial techniques against AI systems and agents (prompt injection, model evasion, agent hijacking, supply-chain attacks on AI pipelines).
Research in rich environments: Work across Windows, Linux, Mac, Docker, and advanced cloud environments (AWS, Azure, GCP).
Research and implement a huge variety of cyber tactics (privilege escalation, defense evasion, lateral movement, OS persistence, credential access, etc)
Exploit complex 1-days on apps & native OS.
Innovate & Build: Work with a wide variety of technologies to simulate real-world adversarial behavior.

Were looking for a Pentest Product Associate to join our Product team and help expand the power of our company.
In this pivotal role, you will be the primary operator of our cutting-edge AI-driven Dynamic Application Security Testing (DAST) agent while simultaneously innovating detection mechanisms for cloud-native technologies.
You will bridge the gap between automated AI testing and cloud infrastructure, defining the "rules of engagement" for our agents to ensure they effectively simulate sophisticated attacks and accurately classify the modern attack surface.
WHAT YOULL DO
Engineer Detection & Attack Logic: Develop advanced detection algorithms to classify cloud technologies while fine-tuning the attack policies that define how our agents identify and exploit vulnerabilities.
Validate Complex Findings: Analyze cloud services, APIs, and log payloads to review complex attack paths, reducing false positives and ensuring compliance with industry standards.
Research Novel Threats: Stay at the forefront of novel attack vectors and emerging cloud/API threats, translating new techniques into executable behaviors for the company DAST engine.
Drive Product Evolution: Collaborate directly with Research, Backend, and R&D teams to turn operational insights into feature requests, positioning our company as the market leader in vulnerability management.

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 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:
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.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world security research. You'll help us harness the power of our companys trillions of security signals to rapidly diagnose and alert the latest attacker behaviors, drive critical context-rich signals, construct new tools and automations to support customers, identify threats, and detect advanced attacker techniques.
Responsibilities
Analyze various network devices, configurations and security products
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
Develop research tools and frameworks to perform automatic analysis of network devices and security products
Research and analyze network-related cybersecurity threats and trends
Work closely with other internal engineering and AI teams to integrate new capabilities into our platform and guide cross-product architectural decisions
Act as a security subject matter expert for multidisciplinary teams.

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 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.