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לפני 4 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.


What You'll Do

Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.

Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.

Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.

Auditing implementations against the threat models you develop and iterate.
Requirements:
What You'll Bring
Experience in security research, threat research, or a closely related field.

Comfortable conducting data analysis in SQL and scripting languages (Python, etc.); much of this role is finding signal in messy real-world data.

Strong written and verbal communication; you'll be explaining threat models to PMs and engineers regularly.

A track record of taking research from interesting finding to shipped capability.

Our Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.


Even Better If You Also Bring

Prior work on LLM/AI application security, such as prompt injection, agent security, model supply chain, securing coding assistants.

Familiarity with developer tooling ecosystems (IDE plugins, MCP, package registries).
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 a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production.
What You'll Do
Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features.
Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats.
Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data.
Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds our company's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments.
Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter.
Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation.
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build.
Requirements:
Experience: 5+ years of hands-on experience in cybersecurity research, exposure management, vulnerability analysis, or threat intelligence.
Product Mindset: Strong ability to tackle projects end-to-end, translating theoretical security research into tangible product features and automated detection logic.
Broad Security Knowledge: Deep understanding of enterprise security tools (EDR, NDR, SIEM, VM, etc.), network topology, and how security components interact to impact network posture.
AI/Agentic Expertise: Proven experience building or heavily shaping AI-powered systems and agentic workflows. You must be able to point to concrete examples where you have integrated LLMs or AI processes to solve complex technical problems.
Attacker's Perspective: Solid foundation in how adversaries think, move laterally, and exploit enterprise environments, paired with expertise in leading vulnerability prioritization standards (MITRE ATT&CK, CISA KEV, EPSS).
Communication: Strong communication skills with demonstrated experience working directly with customers, stakeholders, and cross-functional engineering teams.
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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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a talented Applied Security Researcher to join our team and play a major role in our company's frontier research team, enabling contextual code understanding across complex cloud deployments.
Responsibilities
Drive continuous research from initial concept through PoC to product integration.
Build threat models for AI-native and cloud-native systems: how attackers approach them, how enterprises defend them, and where the gaps are.
Build AI agents that analyze code and/or cloud infrastructure to produce specific insights.
Analyze and understand real-world systems from a security perspective - architecture, data flows, and source code.
Partner across Product, Engineering, and Research to ship what you discover.
Requirements:
5+ years of hands-on experience in security or security research.
A strong threat-modeling mindset - deep understanding of both how attackers approach complex environments and how enterprises defend them
Deep understanding of how complex software systems are built, so you can find where they're vulnerable (Low-level, Distributed, or Core System Engineering mindset)
A foundation in program analysis - parsing, compilation and static code analysis - and comfort reasoning about code as data.
Proven ability to define and implement AI agents, and to make their output reproducible.
Proven ability to work independently, prioritize, and carry complex, multi-quarter projects from concept to working production grade software.
Preferred qualifications
Security research experience in modern cloud environments (AWS, GCP, Azure, Kubernetes, etc) and infrastructure-as-code.
Familiarity with model benchmarking, evaluation, fine-tuning, and with grading agent output against ground truth.
Query languages for security telemetry, graph databases, or large-scale data-mining and clustering experience.
Excellent written and verbal communication, with a track record of shipping alongside cross-functional teams (Product, Engineering, Research).
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.
Join 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:
5+ years of experience in security research, threat hunting, or detection engineering, with a track record of detections deployed in production.
Deep understanding of the cybersecurity landscape, attack vectors, TTPs, and detection methods, especially on Windows.
In-depth knowledge of Windows internals and of how attacker behavior appears in EDR telemetry: process, file, registry, and network events.
Comfortable researching and hunting over very large telemetry datasets using SQL, KQL, Splunk, EDR query languages, or similar.
Python software development experience, including working with data and writing production-quality code.
Ability to drive and own research projects end to end; independent, critical thinker, team player.
Interest in applying machine learning and LLMs to detection, and fluency with modern AI tools in your daily work.
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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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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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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30/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Security Vulnerability Researcher to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.


This is a hands-on role for a seasoned offensive researcher who thrives on technical depth and creativity. Youll collaborate closely with product, marketing, and engineering teams to deliver research that drives customer trust, informs product direction, and shapes industry thought leadership.

What Youll Do
Perform AI-Focused Vulnerability Research: Investigate security risks in AI models, APIs, and infrastructure to uncover exploitable weaknesses and publish insights that strengthen our market leadership.
Lead Red Teaming Against AI Systems: Simulate adversarial attacks on AI pipelines and APIs, creating impactful PoCs that showcase real-world risk and defensive strategies.
Build Customer-Facing Proof-of-Concepts: Partner with product and engineering teams to design and deliver PoCs that align with customer use cases and highlight our security capabilities.
Requirements:
What You Bring
5+ years in Security Research or Offensive Engineering with a proven track record in penetration testing or vulnerability discovery on complex targets.
Deep expertise in Application & AI Security, including experience exploiting APIs, web applications, and AI/ML vulnerabilities such as prompt injection, adversarial manipulation, or model abuse.
Offensive Security & Red Teaming Experience, with practical use of tools, custom exploits, or adversarial testing methods.
Proficiency in developing and presenting PoCs that clearly demonstrate security risks to both technical and non-technical audiences.
Recognized achievements in Bug Bounty or Military-Grade Security Research, or equivalent real-world offensive security experience.
Solid software engineering background, with the ability to read, write, and debug code (Python, JavaScript, Go, etc.).
This position is open to all candidates.
 
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28/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Cloud Security Researcher to join the platform research team. This is a chance to shape the platform end to end- expand what it sees, define how it thinks about risk, and build the AI systems that act on what it finds
What You'll Do:
Integrate new systems and domains- from cloud to shift-left tooling and AI providers- model their data, analyze and enrich it with context from across the platform to generate meaningful insights
Map risk vectors, build threat models, and translate them into actionable posture recommendations
Define how the platform should reason about risk, advancing posture management beyond static rules toward dynamic approaches like graph traversal and reachability analysis
Shape how AI is applied on top of the platform's findings - from agentic systems for insight, context analysis, and remediation to smarter prioritization and prevention
Lead research initiatives end-to-end, working with product and engineering to turn them into shipped capabilities.
Requirements:
5+ years in security research, cloud security, or DevSecOps
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including its identity and data services
Strong understanding of modern DevOps environments: CI/CD pipelines, Infrastructure-as-Code, containers, and Kubernetes
Hands-on coding skills (e.g., Python) and comfort with query languages (e.g., SQL) and reasoning about data flows.
Ability to own research initiatives end-to-end in a fast-moving environment
Excellent written and spoken English
Advantages:
Experience building AI/LLM-based or agentic systems, or securing AI/ML pipelines
Experience with DSPM, data classification, or data security tooling
Background in supply chain security (SBOM, dependency and artifact security)
Open-source contributions, published research, or conference talks.
This position is open to all candidates.
 
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08/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will lead security research. This is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.

You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.

You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.

What You'll Own

The research agenda. Identify where new approaches can meaningfully beat the state of the art in vulnerability detection, triage, and remediation, then decide what we pursue and what we kill. No one hands you a backlog.

Approaches that ship. Build proofs of concept for new detection and remediation techniques, validate them against real world code and data, and carry the winners through to production with engineering. You are accountable for ideas becoming product, not staying research.

The quality bar. Design the datasets, benchmarks, and evaluation pipelines that measure precision, coverage, and false positive rates. Nothing reaches customers past a bar you have not signed off on, and if quality slips, you catch it first.

Vulnerability depth. Deep research into modern attack vectors across cloud (AWS/GCP), containers, microservices, APIs, AI generated code, and LLM applications. Not just how vulnerabilities are found, but how they are born, how they are fixed, and how a whole class gets eliminated.

The data foundation. The internal corpus of vulnerabilities, exploit patterns, and remediation strategies the platform learns from. Its depth and correctness are yours.

Our research voice. What we publish, where we speak, and the credibility the company earns in the security community. Your work should be visible.
דרישות:
What We're Looking For
Experience. 8+ years in security research, vulnerability analysis, or applied security engineering.

Startup DNA. You have worked in an early stage or 0 to 1 environment. Comfortable with ambiguity, shipping without a big org behind you, and changing direction when the data says so. This is a requirement, not a bonus.

Research to product track record. You have turned research into things that shipped: features, tools, detections in production. Not just papers or reports.

Technical depth. Deep expertise in modern application stacks (microservices, containers, cloud platforms). You understand how these systems actually break.

Builder skills. Strong programming ability in at least one modern language (Python, Go, TypeScript). Comfortable writing production quality code.

Data rigor. Experience designing experiments, building datasets or benchmarks, and measuring quality quantitatively. You do not ship on vibes.

LLM fluency. Hands on experience applying LLMs to real problems, whether evaluation, prompting, fine tuning, or agentic systems, or a demonstrated ability to get there fast.

Proven findings. A history of discovering serious vulnerabilities (CVEs welcome) and responsible disclosure.

Communication. You can explain a complex attack and its real impact clearly to engineers, executives, and customers.

Work authorization. Permanent authorization to work in the US for the San Francisco role, or in Israel for the Israel role.

Bonus Points
We care about impact, not credentials. Things that get our attention:

Research that went public and mattered. Publications, disclosures, or talks that changed how people think about a problem, not just filled a slot at a conference.

A product you built at a startup. Something that shipped, that real users depended on, where you can point at your fingerprints.#ENGLISH המשרה מיועדת לנשים ולגברים כאחד.
 
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