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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Everyone is racing to build on AI. Far fewer people are pulling it apart to see how it breaks. That's our work, and we get there before attackers do.
This role is part of our company's AI Security pillar. We research the AI systems the whole industry is rushing to adopt: the agents and frameworks heading into production, and the runtimes and infrastructure beneath them. The work is deep and hands-on. You'll find novel vulnerabilities, build them into full exploit chains, and follow research from a first lead to a working proof of concept.
We're growing the team, and we're looking for a Security Researcher who's at their best with a hard problem and no obvious way in.
Why you'll want to be here
We care about the work, and we care about each other. You'll get room to go deep, people worth learning from, and an early, hands-on look at the security of the tech everyone is betting on. If you've been waiting for a place to do the most interesting research of your career, let's talk.
Key Responsibilities
Research the security of AI systems end to end, from the agents and frameworks they're built on to the runtimes and infrastructure that run them
Take apart complex software and find where it breaks
Turn a vulnerability into a full, working exploit, not just a proof that the bug exists
Understand the defenses modern systems lean on, and how to get past them
Share what you find, through coordinated disclosure and conference talks.
Requirements:
4+ years in security research, vulnerability research, or a closely related field
A strong sense of how software works under the hood, whether that's a modern framework or the system underneath it
Comfortable reading complex code, and reverse engineering with IDA Pro or Ghidra when there's no source
Working knowledge of common vulnerability classes, from unsafe deserialization and logic flaws to memory corruption, and the experience to take one all the way to a working exploit
Excited about AI, and eager to get to its security problems first
Real curiosity, and the drive to go deep when the answer isn't obvious
Nice to have
Experience researching AI systems, agent frameworks, or the infrastructure behind them
Published research, whether CVEs, blog posts, or conference talks
A degree in computer science, mathematics, or engineering, or the hands-on experience to match.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring a Senior Security Researcher to be the security authority behind our AI agents, and the person who decides what "good" means. As our agents take on more of the security workflow, the hardest question stops being "can we build it?" and becomes "is the agent actually right?" Answering that takes someone who understands how vulnerabilities are found, exploited, and remediated at a deep level, and who can turn that judgment into rigorous, repeatable benchmarks the whole team builds against. You'll own those benchmarks. You'll encode your security expertise directly into the agents - the guidelines, heuristics, and domain knowledge they reason with, and guide how they improve over time. You'll help us understand the real complexity behind the features we want to build, and break them into deliverable pieces. And you'll do it with a genuine appetite for experimental AI - comfortable getting your hands dirty with frontier models and agent tooling, not intimidated by it.
What you'll do:
Own our benchmarks and evaluations. Define what "correct" and "high quality" mean for AI agents that detect, prioritize, and remediate security issues. Build and maintain the benchmark datasets, scoring methods, and ground truth that the team measures itself against - and keep raising the bar.
Guide how our agents get better. Dig into where agents fail - false positives and negatives, bad or unsafe fixes, missed exploitability, wrong prioritization - and translate that into concrete improvements to prompts, tools, data, and agent design alongside engineers.
Be the security ground truth. Bring deep, hands-on AppSec judgment to bear on agent outputs: threat-model the edge cases, label the hard examples, and think adversarially about where an autonomous security agent could be confidently wrong.
Scope and decompose new features. Assess the security complexity and feasibility of new capabilities we want to build, explain the risks and trade-offs clearly, and help break ambiguous, research-heavy problems into small, shippable deliverables.
Be our early adopter of experimental AI. Stay on the frontier of models, agent techniques, and tooling. Test what's new, figure out what's real, and bring the useful parts back into the team.
Requirements:
Deep, hands-on application security or vulnerability research experience - you understand how vulnerabilities across SAST, SCA, secrets, IaC, and containers are discovered, exploited, and fixed, and you can tell a real finding from a false one.
The judgment to act as human ground truth: given an agent's finding or fix, you can authoritatively say whether it's correct, and why.
A measurement mindset - comfort defining metrics, building evaluation datasets, and reasoning rigorously about quality rather than relying on gut feel.
A real appetite for AI: hands-on experience with LLMs and/or AI agents, prompt engineering, and a willingness to work with experimental, fast-moving tooling without being thrown by it.
Strong communication - you can explain complex security topics to engineers and PMs, and break big problems into clear, ordered pieces of work.
Coding literacy: comfortable reading code across languages and scripting (e.g. Python) to build evals and analyze results.
Nice to have:
Experience building or evaluating LLM/agent systems, or working with eval frameworks.
Offensive security background - pentesting, exploit development, CTFs.
Detection engineering / security rule authoring.
Published research, CVEs, or conference talks.
Familiarity with ASPM, SAST, or SCA tooling from the building or operating side.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Vulnerability Researcher, you'll build first-principles understanding of the technologies and systems you investigate, then go looking for what's wrong with them: the flawed assumptions baked into established paradigms, the gap between how a system is meant to behave and how it actually behaves, and the novel vulnerabilities and exploitation techniques no one has named yet. This is hands-on, deep technical work - reverse-engineering, breaking, and finding what's exploitable before an attacker does.
What you will Do:

Hunt for what established security paradigms miss: flawed assumptions, gaps between specified and actual behavior, and novel vulnerability classes and exploitation techniques that don't yet have names.

Reverse-engineer and deeply understand systems, protocols, and architectures at the implementation level - developing a precise understanding of how they actually work, rather than what their designers intended.

Develop hypotheses and convert them into working proof-of-concept exploits that demonstrate real-world risk before attackers do.

Own research threads end-to-end, from an early exploration, developing and following hunches all the way through to a proof of concept, responsible disclosure or publication, following the evidence wherever it leads without waiting for a defined playbook.

Ground understanding of exploitability in attacker reality - when research surfaces findings relevant to how the platform models identity attack surface across human and non-human identities, bring that signal in.

Promote standing in the security community through original research, CVEs, and technical thought leadership that advances the field and earns trust on its merits.
Requirements:
6+ years of hands-on vulnerability research, reverse engineering, or offensive security, with a proven track record of finding non-trivial flaws and the depth in systems, protocols, and architectures to understand precisely why they exist.

A first-principles approach to how things actually work, not how they're documented to work: you pull the thread until you hit ground truth, and you're not satisfied until you do.

The instinct and ability to see what others overlook - the unquestioned assumptions in established systems, the edges no one has tested, the failure modes that live in the gap between spec and implementation.

End-to-end ownership of research: you drive hypotheses to conclusions through dead ends, changes of directions and reach hard proofs

Strong hands-on expertise, converting theories and research into a working chain and proof of concept.

Result driven depth: you go as far as a problem deserves, because the result is worth it, and you know when it is.

A track record of original significant discoveries - published CVEs, novel vulnerability classes or exploitation techniques, research that named a problem the field didn't have words for yet.
This position is open to all candidates.
 
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02/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content.
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream
Requirements:
Strong background in vulnerability research, offensive security, reverse engineering, or exploit development
Deep technical curiosity and a strong understanding of how systems work
Ability to think creatively and approach problems from an attackers perspective
Experience researching vulnerabilities and building proof-of-concepts
Ability to work independently and drive research from idea to publication
The company 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.
Strong communication and writing skills in English
Even Better If You Also Bring
Published research, CVEs, blog posts, conference talks, or open-source projects
Experience with AI Security, endpoint security, browser security, or cloud security
Familiarity with AI tools like Claude, Cursor, Copilot, MCP servers, or local AI runtimes
Experience turning technical findings into content with strong industry impact.
This position is open to all candidates.
 
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30/07/2026
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:
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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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Security Researcher, you'll own and evolve the core of the platform: the frameworks and logics that turn fragmented, cross-surface identity data into precise, high-signal insight. You'll work directly with real-world data to find emerging attack patterns, reason about privilege and exposure, and convert what you learn into intelligence that tells customers what's actually risky - and what to do about it.
Identity is also the fastest-moving attack surface in the enterprise right now. The explosion of non-human identities and autonomous AI agents is rewriting what "who has access to what" even means, and you'll be at the front of it - defining how discovers, scores, governs and secures these identities before the rest of the market has a vocabulary for the risk.
You'll also shape voice in the field. Through original research, published findings, and technical thought leadership, you'll influence how practitioners and analysts understand identity risk as the perimeter dissolves.

What you will Do:
Drive research end-to-end - from hypothesis and exploration all the way through to the intelligence and logic that ship into the platform and makes impact on our customers.
Translate deep expertise in identity and security into the analytical engine that drives how reasons about risk, governance, and access decisions across organizations.
Create and own knowledge - the content, logic and intelligence behind every insight made, while setting and maintaining the quality, accuracy depth and coverage of the platform.
Pioneer approach at the cutting edge of a category being reinvented - as the identity foundations are rebuilt for a new world
Shape the field's understanding of identity through original research and technical thought leadership, while raising the research bar across the team and delivering top-tier value to our customers.
Requirements:
What you will bring:
5+ years of hands-on security research experience, with a track record that demonstrates depth across identity, access control, or adjacent threat domains.
Low ego, high impact - you share findings freely, measure success by the team's impact and you are value-driven, Willing to roll up your sleeves for the foundational work creating knowledge and insights in order to provide real value to real customers.
Innovative and forward thinking - Continuous desire to learn, explore and create.
The instinct to find what others miss: you approach identity attack surfaces, NHI exposure, and AI agent behavior with genuine curiosity and a willingness to go where the research leads.
A collaborative default - happy to share and work alongside product, engineering, and go-to-market teams in order to translate raw research into intelligence that sharpens Oak's platform and customers' understanding of their identity risk.

Nice to have:
A history of original, published work - conference presentations (Black Hat, DEFCON, or equivalent), blog series, or white papers that has moved the needle and made impact.
This position is open to all candidates.
 
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7 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.

You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.

What You'll Do
Drive Groundbreaking Research

Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

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

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team

Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.
דרישות:
8+ years in security research, threat research, or closely related fields (offensive security, detection engineering, incident response, cloud security engineering). Fewer years are fine if your depth and track record are exceptional.
Deep multi-cloud expertise - strong hands-on experience across at least two of the major cloud providers (AWS, Azure, GCP), with working knowledge of the third. You understand the IAM models, logging pipelines, APIs, and attack surfaces that matter in each.
A track record of original research - you've published meaningful technical findings through blog posts, conference talks, open-source tools, or vulnerability discoveries that moved the needle. We want someone who doesn't just consume research - you produce it.
Strong adversarial mindset and critical thinking - you think like an attacker targeting cloud infrastructure, SaaS platforms, identity systems, and Kubernetes. You can model threat scenarios, map out attack paths, and poke holes in defenses.
Ability to operate autonomously on ambiguous, high-stakes problems. You don't wait for detailed specs - you identify what matters and drive it forward.#ENGLI המשרה מיועדת לנשים ולגברים כאחד.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a threat Security Researcher to own the "right" side of the platform - from live cloud workloads and the eBPF telemetry they emit, through adversary behavior in containers and Kubernetes, into the AI systems and agents now embedded in production. You'll hunt down how novel attack techniques actually unfold at runtime - the credential theft, the lateral movement, the abuse of a model or an MCP tool - then turn that research into the detection logic that runs over our vast runtime telemetry and powers real-time threat protection. This role sits at the intersection of threat research, cloud, AI security, and detection engineering.
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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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a research-minded, DevOps-fluent Security Researcher to own the "left" side of the platform - from source code and IaC, through CI/CD pipelines, into running cloud workloads and the sensitive data they touch. You'll trace how risk originates in a commit or a data store and follows an attack path all the way to runtime, then turn that research into the posture logic that powers our code-to-cloud, CSPM and DSPM capabilities. This role sits at the intersection of DevSecOps, cloud, data security, and AI systems.
Conduct deep technical research across the full software development lifecycle - source code, IaC, dependencies, CI/CD pipelines, artifacts, and runtime - to map the environment and discover novel risks, misconfigurations, and end-to-end attack paths (code-to-cloud), then enrich findings with context and generate meaningful, actionable remediation.
Lead research into Data Security Posture Management (DSPM): how sensitive data is stored, classified, moves, and gets exposed across cloud data stores, and translate this into data discovery, classification, and data-flow risk logic.
Correlate runtime context from our eBPF sensors with code, pipeline, and data findings to prioritize what is actually reachable and exploitable - not just theoretically vulnerable.
Research and apply AI and ML techniques to strengthen the policy engine itself - improving detection accuracy and coverage, reducing false positives, and making risk prioritization and analytics smarter across code, cloud, data, and runtime signals.
Lead product initiatives from inception to production. Collaborate closely with product, backend, and GTM, translating research into shipped product capabilities.
Define and build complex policy and risk-prioritization logic spanning code, cloud, data, and runtime.
Requirements:
5+ years of experience in Cyber Security research, cloud security, or DevSecOps, particularly in cloud environments.
Military background experience, University Degree, or Ex-CNAPP.
Deep understanding of modern DevOps and CI/CD environments - pipelines (e.g., GitHub Actions, GitLab CI, Jenkins), Infrastructure-as-Code (e.g., Terraform, CloudFormation), containers, and Kubernetes.
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and its data and identity services.
Ability to learn the inner mechanisms of complex architectures - low level, cloud, and data.
Hands-on skills with scripting languages (e.g., Python) and query languages (e.g., SQL); comfort reasoning about data stores and data flows.
Ability to work independently in a dynamic, fast-moving, and demanding environment - owning research initiatives end-to-end and leading projects on your own across product, backend, and GTM teams.
Excellent written and oral communication skills in English.
Advantages:
Experience in AI Security Research, or securing AI/ML pipelines and workloads.
Experience with DSPM, data classification, or data security tooling.
Knowledge of graph and data science algorithms (e.g., graph analytics, clustering, anomaly detection, statistical modeling).
Experience with software supply chain security (SBOM, dependency and artifact/registry security).
Contributions to open-source security tooling.
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8773769
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
04/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Security Researcher , you will play a key role in shaping the future of modern runtime AI security. You will investigate how real-world attacks unfold across AI-enabled applications, agents, tools, executed in cloud environments, and turn those insights into innovative, production-grade security capabilities across our AI Security Posture Management (AI-SPM) and AI Detection & Response (AI-DR) products.

This role is ideal for a deeply technical researcher who is driven to understand AI attacks at their core - not just identify suspicious prompts or surface-level indicators. You will research how prompt injection, tool misuse, agent drift, model abuse, and other emerging AI attack techniques translate into real runtime behavior and security impact. You will then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work in production.

Specifically, you will:

Research real-world attacks targeting models, agents, MCP/tooling ecosystems, RAG applications, and AI-enabled production systems.
Drive research end-to-end - explore, design, develop, validate, and deploy detection logic and protections based on runtime telemetry, exploit PoCs, technical analysis, and threat intelligence.
Shape AI-SPM capabilities by identifying what telemetry, signals, and modeling are required to continuously discover AI components, classify AI behavior, map risk, and detect unsafe or anomalous usage in production.
Shape AI-DR capabilities by researching how to detect AI-driven attacks, prove runtime impact, establish causality, and distinguish failed attempts from real compromise.
Work closely with engineering and product teams to turn deep technical research into practical security capabilities that deliver clear customer value.
Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat research, application security, or a related technical security role.
Strong understanding of modern attack techniques, including the ability to analyze vulnerabilities, exploitation flows, and attacker behavior in real systems.
Familiarity with AI application architectures and concepts, including LLM-based applications, agents, tooling layers, models, RAG.
Experience designing and conducting hands-on technical research, including investigations, experiments, exploit analysis, and PoC development.
Strong programming skills for code analysis, research tooling, proof-of-concepts, and building vulnerable or instrumented test environments.
Experience working with runtime telemetry, behavioral signals, or detection-oriented datasets, and the ability to translate research into scalable detection logic.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across research, engineering, and product teams.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8768190
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
04/08/2026
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.
 
Show more...
הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8768186
סגור
שירות זה פתוח ללקוחות VIP בלבד