דרושים » ניהול ביניים » Senior Security Researcher - AI Team

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'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.

Everyone is racing to build on AI. Far fewer people are pulling it apart to see how it breaks. That's our work, and we get there before attackers do.
This role is part of our company's AI Security pillar. We research the AI systems the whole industry is rushing to adopt: the agents and frameworks heading into production, and the runtimes and infrastructure beneath them. The work is deep and hands-on. You'll find novel vulnerabilities, build them into full exploit chains, and follow research from a first lead to a working proof of concept.
We're growing the team, and we're looking for a Security Researcher who's at their best with a hard problem and no obvious way in.
Why you'll want to be here
We care about the work, and we care about each other. You'll get room to go deep, people worth learning from, and an early, hands-on look at the security of the tech everyone is betting on. If you've been waiting for a place to do the most interesting research of your career, let's talk.
Key Responsibilities
Research the security of AI systems end to end, from the agents and frameworks they're built on to the runtimes and infrastructure that run them
Take apart complex software and find where it breaks
Turn a vulnerability into a full, working exploit, not just a proof that the bug exists
Understand the defenses modern systems lean on, and how to get past them
Share what you find, through coordinated disclosure and conference talks.

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.

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.

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 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 Palo Alto Networks 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.

As a Security Operations & Automation, you'll be the hands-on architect of how Port detects, investigates, and responds to threats - built around AI agents and deep tooling integrations, not manual triage. You'll own incident response across corporate systems, workstations, and identity, unify alerts from every source - including cloud-originated signals that need a response - into a single SOAR/XDR fabric, and deploy AI agents to handle first-line investigation and response.

You'll work closely with IT and the Cloud Security team - taking the lead on investigation, triage, and response while they own the underlying cloud and SDLC architecture - and turn complex security signals into structured, AI-assisted, largely autonomous outcomes - fighting fire with fire.



Responsibilities

Architect and own Port's AI-driven detection and response stack, integrating SIEM, XDR, SOAR, EDR, and IAM into a single automated fabric rather than siloed tools.
Deploy and tune AI agents to handle first-line alert triage, enrichment, and investigation, with humans engaged only for true edge cases - manual L1 triage is the exception, not the default.
Build SOAR playbooks and integrations across the security and IT toolchain (endpoint, identity, ticketing, chat) so detection, enrichment, and remediation run automatically end to end - regardless of which system or platform an alert originates from.
Own the alert pipeline as a whole: unify signals from EDR, IAM, and other sources - including cloud and SaaS alerts surfaced by the Cloud Security team - into one triage and response workflow, so nothing falls through the cracks between tools.
Evaluate and integrate best-of-breed, AI-native security tools - SIEM, XDR, SOAR, EDR, email security, AI guardrails, ZTNA, and others - wiring each into the unified detection and response fabric rather than running them as siloed point solutions. Hands-on tool integration (APIs, connectors, log and telemetry ingestion) is a core skill for this role, not an occasional task.
Drive vulnerability and patch management across corporate systems and endpoints, automating prioritization and remediation workflows and coordinating with IT against strict SLAs.
Build and tune detection rules specific to Port's environment, treating detection as code and feeding AI-driven correlation across the XDR layer.
Maintain security dashboards (MTTD/MTTR, automation rate, % of alerts resolved without human touch) and report on how automation is cutting noise and response 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.

We're building something special in our Israel-based Offensive Security organization, and we're hiring multiple people across three key areas:
Penetration Testing
Red Team Product
Security Research
While these roles share a common foundation in offensive security tradecraft, each brings its own unique focus and impact.
We're looking for deep expertise in at least one of these areas, with the ability to grow across others. We have multiple openings and are looking for talent at various levels. As we get to know you through the interview process, we'll work together to identify the best fit matching your expertise and interests with the specific role and level (Senior, Lead, or Principal) that makes the most sense for both you and the team.
Role Overview
We are seeking a highly skilled offensive security professional to join our elite team. This role is ideal for someone who thrives on breaking systems, finding creative attack paths, and using their findings to drive meaningful security improvements across our company's products and infrastructure.
You will work alongside some of the best minds in security, operating with significant autonomy and impact. Whether you specialize in deep application level penetration testing, red teaming, security research or vulnerability discovery, we want to hear from you-you don't need to be an expert in all three domains. What unites these roles is a relentless attacker mindset, a drive to find and demonstrate real-world impact, and the ability to translate offensive findings into lasting security improvements.
Responsibilities
Conduct advanced penetration testing, red team operations, or security research targeting our company's cloud infrastructure, applications, and services
Discover, exploit, and document security vulnerabilities using creative and methodical approaches
Develop custom tools, exploits, and attack techniques to simulate real-world adversaries
Collaborate with product teams to remediate vulnerabilities and improve secure design practices
Contribute to the maturity of our offensive security program through automation, tooling, and process improvements
Mentor and share knowledge with team members, fostering a culture of continuous learning
Present findings and security insights to technical and executive audiences
Stay ahead of emerging threats, attack techniques, and offensive security tradecraft.