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28/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a AI Research Engineer, Security.
Our Research team operates like a startup inside : strategic, high-ownership, and working directly with leadership. We drive the innovation behind AI-native platform, researching and prototyping the next generation of capabilities and guiding both product and go-to-market teams in bringing them to customers. We work at the edge of the security industry, envisioning and building first-of-their-kind, category-defining agentic development security solutions.
What You Will Do:
Research and prototype novel approaches to application security that go beyond traditional AppSec tooling.
Build proofs-of-concept for advanced prevention, detection, triage, and remediation capabilities.
Design experiments and validate new security features through data-driven testing.
Partner with product and engineering to bring successful POCs into the core platform.
Evaluate and optimize LLM-based agents and model outputs for security use cases.
Requirements:
5+ years building security solutions, with deep-level understanding of code security: attack patterns, detection methods, and contextual remediation.
You know how to scientifically tell truth from information: distill signal from noise and extract exceptional results out of AI agents.
Strong research and engineering fundamentals, with hands-on experience building new solutions from scratch.
A problem-solver mindset: you learn fast and approach unfamiliar problems with curiosity.
A proactive team player who takes ownership and helps the team move faster.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a visionary and highly technical Principal / Sr. Principal Security Researcher to join our security research team. In this role, you will be at the forefront of innovating automated defense systems to rapidly protect platform customers against advanced cyber threats at an unprecedented scale. This position offers a unique opportunity to blend deep traditional cybersecurity expertise - including OS internals, reverse engineering, and advanced detection engineering with cutting-edge AI technologies like LLMs, SLMs, and agentic workflows.
You will spearhead the creation of innovative prevention solutions, leveraging massive streams of agent telemetry to design AI-driven logic that neutralizes threats before they execute. As a key technical leader, you will partner closely with top-tier data scientists and product engineers to translate cutting-edge security research into production-grade capabilities, ensuring we stay ahead of the evolving threat landscape.
Key Responsibilities
Develop Automated Defense Systems:Create, engineer, and deploy automated solutions for the prevention and detection of advanced cyber threats, analyzing complex data to rapidly protect platform customers at scale.
Innovate with AI:Partner closely with data scientists to leverage LLMs, SLMs & deeplearning techniques to fuel these advanced prevention solutions and automated defense capabilities.
Enhance Palo Alto Networks Agentix:Research, develop, and continuously improve the Agentix solution. Drive the development of next-generation security content by designing and implementing specialized AI agents to automate security operations and workflows.
Drive Security Innovations:Spearhead new research initiatives from the ground up. Act as the primary driver across key stakeholders, leading top-tier data scientists and engineers to ensure the successful delivery of enterprise-grade security capabilities.
Requirements:
5+ years of hands-on experience in the cybersecurity research field.
Threat Research & OS Internals:Proven track record of applying deep cyber and analytical expertise to build robust security logic using endpoint telemetry. Supported by a profound understanding of Windows and Linux OS/kernel internals to engineer advanced defenses.
Reverse engineering experience:Demonstrated expertise in reverse engineering (e.g., IDA Pro, Ghidra) across multiple platforms to dissect malware and identify sophisticated attack vectors.
Programming & Native Code Comprehension:Strong proficiency in Python for data analysis and rapid prototyping, combined with the ability to comprehend native code (C, C++, or Rust) to effectively read and interpret agent code, low-level system interactions, and memory operations.
End-to-End Research Ownership:A scientific, data-driven approach to solving complex security challenges, with a proven track record of owning research initiatives from initial ideation through to the deployment of production-grade capabilities.
Communication & Mentorship:Excellent communication skills, with the ability to clearly articulate complex threat research to diverse audiences, mentor junior team members, and champion security initiatives across the organization.
Preferred Qualifications
AI Agents & Frameworks:Hands-on experience developing and working with AI Agents and agentic workflows. Technical understanding of the architectural distinctions between an agent, a skill, and Model Context Protocol (MCP). Proven experience utilizing common agentic frameworks.
Data Scale & Telemetry Analysis:Proficiency in query languages (e.g., SQL) and big data platforms (e.g., GCP) to parse, manipulate, and query large-scale agent telemetry, extracting actionable security insights and uncovering threat patterns from massive datasets.
This position is open to all candidates.
 
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23/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Principal / Sr. Principal Security Research - Advanced Cyber Research (Cortex)
We are seeking a visionary and highly technical Principal / Sr. Principal Security Researcher to join our security research team. In this role, you will be at the forefront of innovating automated defense systems to rapidly protect platform customers against advanced cyber threats at an unprecedented scale. This position offers a unique opportunity to blend deep traditional cybersecurity expertise - including OS internals, reverse engineering, and advanced detection engineering with cutting-edge AI technologies like LLMs, SLMs, and agentic workflows.
You will spearhead the creation of innovative prevention solutions, leveraging massive streams of agent telemetry to design AI-driven logic that neutralizes threats before they execute. As a key technical leader, you will partner closely with top-tier data scientists and product engineers to translate cutting-edge security research into production-grade capabilities, ensuring we stay ahead of the evolving threat landscape.
Key Responsibilities:
Develop Automated Defense Systems:Create, engineer, and deploy automated solutions for the prevention and detection of advanced cyber threats, analyzing complex data to rapidly protect platform customers at scale.
Innovate with AI:Partner closely with data scientists to leverage LLMs, SLMs & deeplearning techniques to fuel these advanced prevention solutions and automated defense capabilities.
Research, develop, and continuously improve the Agentix solution. Drive the development of next-generation security content by designing and implementing specialized AI agents to automate security operations and workflows.
Drive Security Innovations:Spearhead new research initiatives from the ground up. Act as the primary driver across key stakeholders, leading top-tier data scientists and engineers to ensure the successful delivery of enterprise-grade security capabilities.
Requirements:
Required Qualifications:
5+ years of hands-on experience in the cybersecurity research field.
Threat Research & OS Internals:Proven track record of applying deep cyber and analytical expertise to build robust security logic using endpoint telemetry. Supported by a profound understanding of Windows and Linux OS/kernel internals to engineer advanced defenses.
Reverse engineering experience:Demonstrated expertise in reverse engineering (e.g., IDA Pro, Ghidra) across multiple platforms to dissect malware and identify sophisticated attack vectors.
Programming & Native Code Comprehension:Strong proficiency in Python for data analysis and rapid prototyping, combined with the ability to comprehend native code (C, C++, or Rust) to effectively read and interpret agent code, low-level system interactions, and memory operations.
End-to-End Research Ownership:A scientific, data-driven approach to solving complex security challenges, with a proven track record of owning research initiatives from initial ideation through to the deployment of production-grade capabilities.
Communication & Mentorship:Excellent communication skills, with the ability to clearly articulate complex threat research to diverse audiences, mentor junior team members, and champion security initiatives across the organization.
Preferred Qualifications:
AI Agents & Frameworks:Hands-on experience developing and working with AI Agents and agentic workflows. Technical understanding of the architectural distinctions between an agent, a skill, and Model Context Protocol (MCP). Proven experience utilizing common agentic frameworks.
Data Scale & Telemetry Analysis:Proficiency in query languages (e.g., SQL) and big data platforms (e.g., GCP) to parse, manipulate, and query large-scale agent telemetry, extracting actionable security insights and uncovering threat patterns from massive datasets.
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 an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era.

Responsibilities:
Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection.
Define and drive product strategy for AI Security initiatives across platform.
Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams.
Define product requirements and oversee the implementation of new AI Security capabilities and services.
Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs.
Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction.
Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact.
Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market.
Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership.
Requirements:
At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies.
Proven experience building and delivering security products.
Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas.
Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences.
Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures.
Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments.
Strong technical aptitude and ability to work closely with highly technical engineering and research teams.
Excellent communication, prioritization, and stakeholder management skills.
Proven ability to influence and drive alignment across cross-functional teams.
Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.
This position is open to all candidates.
 
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07/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for an AI AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AI AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security. You will also be responsible for working closely under the AppSec Architect. This role is based out of our Tel-Aviv site and will report to the AppSec Architect

What you will be responsible for:

* Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
* Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
* Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
* Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
* Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
* Document: Draft requirement documents for security products and innovative technologies.
The top candidate will also have:

* Endless curiosity and passion for emerging technology
* Ability to handle prioritize and execute multiple tasks simultaneously.
* Ability to work collaboratively across multiple departments.
* Fluent in English - ability to lead meetings and present.
* Strong communication and collaboration skills.

Why you should join us:

* Our global team is made up of awesome forward thinking, innovative go-getters.
* Learning and growth opportunities within a fast-paced tech startup environment.
* Clear career advancement path for strong performers.
* We are committed to setting each other up for success. As a member of our team, you will work within an environment that encourages growth, initiative taking and continuous mutual feedback in order to reach your full potential.
* And of course, Wolt+ and lots of yummy treats in the kitchen:-) Does this sound like a perfect position for you or a friend? apply here.
Requirements:
* 2-4 years experience as an Application Security Engineer or similar role from a Software Development Company
* In-depth knowledge in threat modeling, risk management, and security controls.
* Experience with AI Security and Security AI.
* Proficiency with OWASP Top 10: API, LLM, and Agentic applications.
* Hands-on competency integrating security tools such as SAST, DAST, SCA, and API security testing.
* Familiarity with CI/CD pipelines and Infrastructure as Code implementation.
* Practical background in software development and coding.
* In-depth knowledge of cloud technologies and cloud-native applications, AWS and GCP.
* Cybersecurity certifications such as OSCP, GPEN, CSSLP.
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.

WHAT YOU WILL DO
Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.
Requirements:
WHAT YOU WILL BRING
6+ years of hands-on experience in detection engineering, security research or incident response - working with real production data at scale.
Deep knowledge of attacker techniques and behavior across at least 2 from: cloud, identity, endpoint, and network environments, with the ability to translate that directly into high-fidelity detection logic.
An AI-native mindset - you've built or applied AI-powered tooling in a security context (detection pipelines, alert investigation, hunting workflows) and you default to AI-powered approaches before reaching for manual ones.
Experience working within or alongside a product or engineering team - you understand how software gets built, and you know how to make your security expertise actionable for R&D and Product.
Strong coding skills (Python or similar), used for research, data analysis, detection development, and tooling.
A product-oriented approach to research - you think about scale, usability, and customer impact, not just technical correctness.
Self-directed and a strong self-learner - you don't wait to be pointed at problems, and you move fast when you find them.
Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences.
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As Security Research Team Lead at our company, you will lead the team turning security research and enterprise security data into actionable insights and product capabilities. You will combine people management with hands-on technical leadership, helping customers understand their exposure and get more value from their security tools.
Were looking for a leader with a strong background in cybersecurity research, deep understanding of enterprise security tools, and a data-driven approach to solving problems. You should be equally comfortable mentoring researchers, shaping a research roadmap, and joining customer calls to explain findings and understand real-world challenges.
What You'll Do
Lead and Develop the Team: Manage, mentor, and grow a team of security researchers. Set clear goals, provide technical guidance and feedback, and build a culture of rigor, curiosity, and ownership.
Own the Research Roadmap: Define and prioritize research initiatives in partnership with product and engineering. Balance customer needs, emerging threats, and strategic opportunities, taking projects from initial investigation through production delivery.
Drive Security Tool Research: Lead deep research into enterprise security platforms, including EDR, SIEM, firewalls, IAM, and vulnerability management tools. Assess configurations, policies, coverage, and defensive capabilities to identify gaps and improve security effectiveness.
Engage Directly with Customers: Lead technical customer discussions, explain findings clearly, investigate complex questions, and turn feedback into research and product improvements.
Turn Data into Security Insights: Guide how the team collects, models, correlates, and validates security data. Translate fragmented telemetry and configuration data into reliable assessments, prioritized findings, and actionable recommendations.
Shape Integrations and Product Capabilities: Own the research requirements and security logic behind integrations, security control assessments, and exposure prioritization. Work closely with engineering to ensure research translates into accurate, scalable product features.
Set Research Quality Standards: Establish methods for validating findings, testing assumptions, and measuring accuracy. Ensure conclusions are supported by evidence and recommendations account for customer context and operational constraints.
Guide AI-Powered Research and Workflows: Shape the security knowledge, reasoning logic, and evaluation methods behind our companys AI-powered capabilities, ensuring outputs are accurate, explainable, and useful.
Partner Across our company: Collaborate with product, engineering, data, and customer-facing teams to align priorities, resolve technical challenges, and deliver meaningful customer outcomes.
Requirements:
Leadership Experience: Proven experience managing security researchers or a closely related technical team, including mentoring, performance management, and project delivery.
Cybersecurity Research Expertise: 6+ years of relevant hands-on experience in cybersecurity research, security control assessment, detection engineering, exposure management, or related fields.
Deep Security Tool Knowledge: Strong understanding of enterprise security platforms, their APIs, configuration models, policies, and telemetry. Ability to evaluate what a tool can protect against, how it is deployed, and where gaps remain.
Data-Driven Research Skills: Experience working with complex security datasets, defining data models, and correlating information across sources. Comfortable using Python, SQL, or similar tools to investigate data, test hypotheses, and validate research at scale.
Technical Judgment: Ability to challenge assumptions, review research methods and results, and guide the team through ambiguous problems while staying close to the technical details.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an AI Security Researcher with a strong AppSec foundation. At the core, this is a deeply technical application security role at an engineering level. You'll sit with development teams, get involved in their processes, understand how software is actually built, and bring a security perspective from the inside. You'll enhance traditional AppSec with agentic tools and security layers, working directly with enterprise customers on hands-on engagements. On top of that defensive foundation, you'll layer AI-specific offensive capabilities: researching and executing attacks against AI/ML systems.
This is a unique opportunity to combine strong AppSec fundamentals with cutting-edge AI red teaming and agentic consulting, with a clear growth path as a researcher.
Roles and Responsibilities:
Conduct deep, engineering-level application security work: review architectures, assess code, and embed with development teams as a technical peer throughout the development lifecycle
Lead AI-focused security assessments and red team engagements for enterprise customers, identifying vulnerabilities in AI/ML systems, agentic workflows, and LLM-based applications
Enhance traditional AppSec processes with agentic tools and AI security layers
Research and develop novel attack techniques targeting AI/ML systems, including prompt injection, model manipulation, and agentic framework exploits
Translate offensive findings into actionable security recommendations for customers and internal teams
Stay at the forefront of AI security: continuously research emerging attack surfaces and contribute to the growing body of AI threat knowledge.
Requirements:
Deep, hands-on application security experience at an engineering level: someone who sits with dev teams, understands development processes from the inside, and reviews code and architectures as a peer (Must)
At least 1 year of dedicated, immersive work in AI security: research, experimentation, or offensive engagements targeting AI/ML systems (Must)
Offensive security capabilities with a focus on AI-specific attack vectors (Must)
Strong understanding of AI/ML technologies, including LLMs, agentic systems, and common AI application architectures
Development skills: comfortable reading and writing code, building tools, and understanding codebases
Excellent communication skills and comfort working directly with enterprise customers
Fluent English
Nice to have:
Published research or public talks on AI security topics
Experience with traditional penetration testing or red teaming
Background in building or deploying AI/ML systems from the development side.
This position is open to all candidates.
 
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6 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Security Researcher , you will play a key role in shaping the future of modern runtime and AI security. You will investigate how real-world attacks unfold across applications and cloud environments, and turn those insights into innovative, production-grade security capabilities.

This role is ideal for a deeply technical researcher who is driven to understand attacks at their core - not just identify surface-level indicators. You will research exploitation chains, runtime behavior, attacker techniques, and emerging AI attack patterns, then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work.

Specifically, you will:

Research real-world attack techniques targeting modern applications, cloud-native environments, and AI-driven systems.
Design, develop, validate, and deploy detection algorithms based on technical research, large-scale runtime telemetry, threat intelligence, and exploit PoCs.
Shape the strategy for detection data collection by defining the required telemetry, collection points, and data quality standards needed to support effective protection.
Drive research efforts end-to-end, from initial exploration and technical investigation to production-grade protection capabilities for active threats.
Work closely with engineering and product teams to turn research into practical security capabilities.
Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat detection engineer, or a related technical security role.
Strong understanding of modern application attack techniques, including the ability to analyze vulnerabilities and exploitation flows.
Deep expertise in Linux internals.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Experience designing and conducting hands-on technical research, including investigations, experiments, and PoC development.
Strong programming skills for code analysis, research tooling, and building proof-of-concepts and vulnerable test applications.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across teams.
Data analysis skills and hands-on experience working with databases.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Security Researcher- Detection AI Research, you will be tasked with joining the Detection AI Research team, where security research meets machine learning. We use EDR telemetry from millions of endpoints to hunt for sophisticated, highly evasive attacks and to close the coverage gaps they expose, using ML models and LLM-based agents that we design, build, and run in production. As a Senior Security Researcher in our AI Detection research team, you will bring the attacker's-eye view: which techniques matter, how they look in endpoint data, and what separates a real intrusion from benign noise at scale. You will work alongside the data scientists who build our models, and your detections will reach real customers through Wayfinder analysts, threat hunters and detection engines.
Requirements:
Research attack techniques and TTPs and how they manifest in our EDR telemetry, and turn that research into detection hypotheses that hold across millions of endpoints.
Design, build, own, and maintain AI-powered detections end to end: turn a detection hypothesis into a production pipeline that analyzes fleet-wide EDR data, applies the team's ML models and LLMs to separate real intrusions from benign activity, and surfaces advanced attacks that analysts and threat hunters can triage and act on.
Drive the development of LLM-based agents that automate detection authoring: define what a correct, robust detection looks like, and expand our agent's detection coverage autonomously.
Analyze detection gaps and false positives together with MDR analysts, threat hunters and detection engineering teams, and feed the findings back into the detections.
Write high-quality production Python and own your code in production.
Stay current with APTs, attacker methodologies, and emerging TTPs.
This position is open to all candidates.
 
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8835426
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
04/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Exposure Management Research Group at our company Software Technologies is expanding. We are looking for an experienced Offensive Security Researcher to join our newly formed AEV Team and lead the offensive side of our Agentic Exposure Validation (AEV) research.
About the group
The Exposure Management Research Group is the research arm behind our company's Exposure Management platform. The platform helps organizations see and reduce their risk from the outside in, across their external attack surface, threat intelligence, and digital risk. The group brings together vulnerability researchers, threat intelligence analysts, phishing researchers, and data scientists. Together, we track threat actors and campaigns, analyze vulnerabilities and active exploitation, and turn that research into detections, intelligence, and validation capabilities that serve thousands of customers worldwide. Our work relies heavily on data science, machine learning, and agentic AI to operate at scale.
About the position
Exposure validation goes beyond identifying that a vulnerability exists. Its purpose is to show whether an attacker could actually exploit that vulnerability, and how far they could get. In this position, you are responsible for bringing real offensive expertise into our AEV capability, which runs on an agentic AI system that validates exposures across our customers' environments.
You conduct hands-on offensive research, define the exploitation methodologies the system follows, and set the standard for what a validated, customer-ready finding looks like. You also work closely with our threat intelligence and detection teams, so that proven attack paths turn into protections for our customers.
This is a research position with direct product impact. It combines practical red team work with shaping how an AI-driven platform conducts, reasons about, and reports offensive activity.
What you'll do
Design and run offensive research against external attack surfaces: web applications, APIs, cloud-exposed services, identity, and edge infrastructure
Turn single findings into demonstrated impact through exploit chaining, lateral movement, and blast-radius analysis
Write and maintain the exploitation methodologies and attack hypotheses our agentic AEV engine runs on
Review agent runs and findings. Separate proven impact from claimed impact, and turn the gaps you find into better prompts, methods, and guardrails
Set the bar for customer-ready findings: a clear impact story, a reproducible chain, and remediation guidance a security team can act on
Work with threat intelligence researchers to turn in-the-wild attacker behavior (named actors, active campaigns, newly exploited vulnerabilities) into validation plays
Help close the purple loop by turning proven attack paths into detection and protection logic, and working with detection engineering on coverage
Contribute to the team's research output, including internal knowledge sharing and, where it fits, external publications and talks.
Requirements:
2+ years of hands-on offensive security experience: red teaming, penetration testing, or offensive research
Real exploitation depth beyond confirming vulnerabilities, including exploit chaining, privilege escalation, lateral movement, and showing business impact
Comfort with the non-deterministic side of offense: business logic flaws, misconfigurations, credential and token abuse, and using information disclosure as an entry point
Strong scripting and automation skills (Python preferred)
Clear written communication. You can explain a complex attack chain to an engineer and to a CISO
Strong advantage
A consulting background covering many customer environments, not one internal estate. You know what customers value in an engagement deliverable and how to present it
Broad exposure to defensive technologies, security controls, and vendors, and an understanding of what attacks look like from the defender's side.
This position is open to all candidates.
 
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