דרושים » אבטחת מידע וסייבר » Security Research

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.

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.

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.

we are looking for a Senior Web Security Researcher.
As a Senior Web Security Researcher at Nimble, you will spearhead our efforts in the research domain, driving our cutting-edge data gathering solutions. You will work on complex technical challenges at the intersection of browser internals, reverse engineering, and large-scale data gathering. You will analyze and break down advanced client-side protection mechanisms, dive into large and complex codebases such as Chromium, and develop high-performance, cross-platform capabilities that power our products.
This role is both hands-on and research-driven: youll be expected to investigate hard problems, turn insights into solutions, and help push the boundaries of whats possible in web data gathering.
What Youll be Doing:
Reverse-engineer and analyze advanced bot-detection systems, including JavaScript based mechanisms and API interaction flows.
Analyze and modify large-scale browser codebases that empower our products.
Apply a deep understanding of browser internals and architecture to improve stability, performance, and resistance to anti-automation measures.
Collaborate with researchers and developers to integrate findings into production solutions.
Provide technical guidance and mentorship within the research team.

We are looking for a Security Researcher who thrives on both sides of the fence. You will develop offensive tradecraft-discovering new attack vectors and writing exploits-then use that perspective to engineer robust, product-level mitigations. If youre energized by finding a novel browser attack on Monday and shipping the defense for it by Friday, this role is for you.

Key Responsibilities

Offensive Research: Discover new attack vectors, abuse patterns, and security gaps in browsers, web applications, OS internals, and enterprise workflows.
Defensive Engineering: Design and implement detections, mitigations, and security policies informed by your offensive findings; close the loop from attack to protection.
Vulnerability & Malware Analysis: Perform reverse engineering on malware, exploits, and obfuscated code across Windows, macOS, and browser environments.
Web & Browser Security: Research techniques ranging from classic vulnerabilities (XSS, SSRF) to browser-specific primitives (extension abuse, DOM manipulation, same-origin bypasses).
Supply-Chain Security: Investigate threats in software supply chains, including browser extension marketplaces and package registries.
Threat Intelligence: Correlate signals across multiple sources to identify malicious infrastructure and adversary TTPs.
Public Impact: Write technical blog posts, publish research, and represent at major security conferences (Black Hat, DEF CON, etc.).

we are looking for a Security Researcher to join our core R&D team and help build the next generation of cloud runtime protection.
In this role, you'll research vulnerabilities, attack techniques, and emerging threats, turning your findings into real product capabilities through clean, efficient code. You'll work on low-level systems, offensive security research, and help develop the technologies that protect enterprise cloud environments.
If you're passionate about building security products that make a real impact, we'd love to hear from you!

Responsibilities
Research emerging attack techniques, vulnerabilities, and adversary behaviors.
Design and develop new security capabilities to identify sophisticated threats.
Perform reverse engineering and in-depth analysis of malware, exploits, and attack techniques.
Collaborate closely with Product and Engineering teams to translate research into product capabilities.
Build research tools, prototypes, and automation to support security investigations.
Research emerging threats and translate relevant findings into new product capabilities.
Improve detection quality by analyzing false positives, false negatives, and attacker behavior.
Contribute to technical discussions, knowledge sharing, and security best practices across the company.

We're looking for a Threat Hunting Expert to join our team and shape the future of threat detection. In this role, you'll be at the forefront of identifying and analyzing emerging threats, helping to shape the features of our Threat Detection platform. You'll be crafting detection logic and hunting strategies that enable security teams to identify and respond to advanced threats across their entire environment.


WHAT YOU WILL DO

Work directly with customers to help them solve concrete security pain points and operational use cases using , primarily during POVs and onboarding.
Perform advanced threat hunting across customer datasets to identify meaningful security findings, including compromise evidence, exploitation indications, suspicious activities, and visibility or posture gaps.
Build and evolve internal tools and AI-powered capabilities that support threat hunting, anomaly detection, and exploratory analysis.
Translate immediate customer security needs into ad-hoc security content, including detections, threat hunting notebooks, and investigative workflows.
Participate in customer-facing sessions alongside Sales Engineers and Technical Account Managers to present findings, explain security context, and walk through capabilities and content.
Deliver technical demonstrations, workshops, trainings, and hands-on sessions that show customers how to use for their security workflows.
Research emerging threats, including new CVEs and active campaigns, in collaboration with the CTI team, and translate them into immediate detections and threat hunting content.
Publish public-facing technical content on threat hunting and SecOps, including blog posts, webinars, open-source tools, and research findings.

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.

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

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.