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27/08/2026
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08/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As our VP Security & Research, you'll report directly to the CEO and own malvertising detection vision, combining deep security research with AI and agentic innovation. You'll lead our security research team, uncover new attack techniques before they reach users, and turn that insight into detection that works in real time at massive scale. You'll build a research agenda that puts GeoEdge on the stage at the world's top security conferences, and partner with Product, R&D, data Science, Customer Support, and other key functions inside and outside the company to bring it to market. You'll be the security and research voice of GeoEdge for customers, partners, and the wider security community. What You'll Do
* Set the strategy and roadmap for malvertising detection and security research
* Lead, mentor, and grow the security research team
* Drive AI and agentic innovation in detection, working with R&D and data Science to turn research into production-grade capabilities
* Uncover and track emerging malvertising threats, evasion techniques, and attacker campaigns across the ad ecosystem
* Own detection quality: push for uncompromising precision, coverage, and speed
* Drive original research and publications, and represent GeoEdge at leading security conferences
* Partner with Product, R&D, data Science, Customer Support, and other key functions in the organization and outside of it
* Report to the CEO and management on research impact, threat landscape, and priorities
Requirements:
What You Bring
* 8+ years in security, including 3+ in leadership
* A proven research track record: publications, CVEs, conference talks, or technical papers
* Hands-on expertise in AI and agentic systems, with experience applying LLMs, Machine Learning, and AI agents to real security problems
* Deep understanding of how attackers evade detection, including cloaking, obfuscation, and adversarial use of AI
* Strong background in web security and web technologies ( JavaScript, browsers, HTTP/HTTPS)
* Experience in threat research, malware analysis, or detection engineering
* Ability to translate complex research into business impact for executives and customers
* Excellent English; BSc in Computer Science or equivalent experience Advantages
* Experience building or shipping AI-powered or agentic security products
* Experience in AdTech, digital advertising, or malvertising research
* Background in a cybersecurity product company
* Experience building or leading a security research team
* Alumni of technological or military intelligence units
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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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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05/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen our detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.


Responsibilities
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance our runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.
Requirements:
4+ years in security research, including cloud, web, or API security.
Experience in detection engineering and building or working with detection-driven security products.
Strong coding and data analytics skills in scripting and programming languages such as Python, JavaScript and bash, and proficiency with SQL-like queries.
Solid grasp of security principles, cloud security, and runtime defense.
Curiosity, creativity, and a self-driven approach to research.
Experience tinkering with LLMs and AI security - a strong plus.
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Responsibilities
Develop advanced detection algorithms to classify cloud technologies while fine-tuning the attack policies that define how our agents identify and exploit vulnerabilities.
Analyze cloud services, APIs, and log payloads to review complex attack paths, reducing false positives and ensuring compliance with industry standards.
Stay at the forefront of novel attack vectors and emerging cloud/API threats, translating new techniques into executable behaviors for the company DAST engine.
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.
Requirements:
2 years of hands-on experience in AppSec or penetration testing, including proficiency with enterprise tools like Burp Suite, OWASP ZAP, or Acunetix.
Hands-on experience with Linux, Windows, Docker, Kubernetes, web protocols (HTTP/S, REST, GraphQL), and authentication mechanisms (OAuth, SAML).
Proficiency in scripting languages such as Python, Bash, or Go to automate security tasks and interact with codebases.
Solid knowledge of networking concepts, the OSI model, and cloud infrastructure (AWS, Azure, or GCP).
Preferred Qualifications
Knowledge of AI/ML and how LLMs or reinforcement learning agents operate within a cybersecurity context.
SaaS and cloud experience, with familiarity in AWS, Azure, or GCP environments and modern cloud-native architectures.
A red teaming background, with experience in simulated adversarial attacks and bypassing standard WAF or security controls.
An analytical mindset with the ability to diagnose complex logs and scans to distinguish between tool failures, configuration issues, and valid security findings.
Self-motivated with the ability to work collaboratively and communicate high-stakes security concepts effectively across teams.
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.

Responsibilities

Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.

Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.

Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.

Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.

Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.

Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.

Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.

Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.
Requirements:
BSc./MSc. in Computer Science, Security, or equivalent military/industry experience.

4+ years of security research (AppSec, malware, adversarial AI, or platform security). Experience with Agentic AI security research is an advantage.

Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling.

Experience with AI systems, agent frameworks, or protocol security (e.g., LangChain, MCP, A2A) is a strong plus.

Proficiency in Python for prototyping, research tooling, and detection logic; familiarity with TypeScript or Go is a plus for collaborating with engineering.

Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access.

Demonstrated ability to transform research into productized runtime detections.

Self-driven, curious, and eager to define the next frontier of enterprise security.
This position is open to all candidates.
 
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15/10/2026
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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הגשת מועמדותהגש מועמדות
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28/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Threat Security Researcher to join our Threats team at the intersection of security research, AI, and product. You'll own detection research across runtime, cloud, network, identity, code, while actively shaping how AI capabilities are applied to solve real security problems at scale.
Conduct deep technical research into modern cloud environments and AI systems and discover novel attack techniques.
Lead product initiatives in the threats domain from inception to production. Collaborate closely with product, backend, and GTM, translating research into product capabilities.
Define and create complex detection logic over our vast telemetry, with a focus on coverage that scales across customer environments.
Identify gaps in detection coverage and evaluate detection quality. ensuring security logic is reliable and impactful.
Stay up to date with the evolving threat landscape (threat intelligence, campaigns) and incorporate into our product
Contribute to PR presence - technical research content, talks, open-source tooling.
Requirements:
5+ years of experience in threat research, including threat hunting, incident response or detection engineering
Military background experience, university degree, or Ex-CNAPP
Curious, detail-oriented mindset with proven ability to self-learn complex topics and new mechanisms.
Hands-on skills with scripting languages (e.g., Python) as well as query languages (e.g., KQL
Ability to work independently and also across teams, in a dynamic, fast-moving, demanding environment
Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences.
Advantages:
Experience in AI Security Research
An AI-native mindset, you've built or applied AI-powered tooling in a security context
Experience conducting data-driven research and working with large-scale telemetry.
Experience in public-facing work, such as presenting at recognized industry conferences or authoring technical blog posts.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a passionate Lead or Senior Offensive Security Engineer for our growing Offensive Security Automation team. This hands-on offensive security position requires a cyber security professional whose primary focus is to perform security assessments and vulnerability research using internal AI tools using frontier models, with a focus of designing and developing the AI automation and autonomous harnesses together with the team.

This is a role for someone who can perform offensive security testing at scale, combining deep security expertise with the judgment to direct and improve AI-driven tooling.

What You'll Actually Be Doing
Perform security assessments and vulnerability research across web applications, APIs, and cloud/hybrid infrastructure, using internal AI tools and frontier models to scale coverage and depth that you will develop.
Make sure our internal solution can perform exploitation, vulnerability chaining, business logic and authorization abuse, privilege escalation, and lateral movement, beyond what automated tooling alone can find.
Run end-to-end engagements: scoping, execution, reporting, and remediation guidance.
Discover systemic/architectural weaknesses, not just isolated bugs, and drive secure-by-default fixes.
Partner with engineering, security architecture, and detection & response teams to close root causes and validate control effectiveness.
Produce high-quality technical reports with clear exploitation paths and prioritized remediation.
Develop the automation and autonomous harnesses that direct frontier models to perform offensive security testing continuously and at scale.
Design agent-based workflows that reason over large data, plan for risk signals, business logic and execute multi-step offensive testing that will adapt based on results, recon, hypothesis ranking, chaining of bugs exploitation, AI-Driven assessments, and reporting.
Establish human-in-the-loop checkpoints so automation scales offensive coverage without sacrificing safety or precision.
Translate your own tradecraft into reusable, explainable automation that the team can run and build on.
Requirements:
You're Our Person If...
6+ years (Senior) / 8+ years (Lead) hands-on offensive security experience such as pentesting, red teaming, or app/security research, with proven complex engagement delivery.
Deep, must-have vulnerability knowledge in cloud and web application security: OWASP Top 10+ vulnerability classes, identity/authz attack vectors, and cloud/hybrid attack surfaces.
Hands-on experience using internal AI tools and frontier models to perform or accelerate security testing, not just conceptual familiarity!
Software engineering fundamentals: System design, API integration, working with distributed services and technologies.
Ability to write custom scripts/tooling/payloads and contribute to building automation and autonomous harnesses including prompt engineering.
Excellent written and verbal communication skills.


Even Better If...
Experience with agentic frameworks, prompt optimization, agent evaluation, or lightweight model fine-tuning.
Published security research, CVEs, or conference talks.
Familiarity with MITRE ATT&CK/ATLAS and offensive AI/ML attack surfaces (prompt injection, agentic privilege abuse).
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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