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We are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by us, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

We're looking for an Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems.
Responsibilities:
Continuously checking and improving security measures to protect our systems.
Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
Helping developers follow secure coding practices and learn how to prevent security risks.
Staying updated on new security threats and best practices to keep our security standards high.
Contributing to our security research blog.
Evaluating the security of AI and agentic systems, and applying AI-assisted tools to security research.

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across our company. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
What You'll do:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

We seek an embedded security researcher to join us in developing cutting-edge cybersecurity projects.
Responsibilities
As an embedded security researcher, you will be dealing with:
Embedded systems reverse engineering.
Kernel driver research and development.
Real-time Embedded End-to-End Low-Level software development on various unique embedded platforms and environments.

We are looking for an embedded security researcher to join us in developing cutting-edge cybersecurity projects.
Responsibilities
As an embedded security researcher, you will be dealing with:
Embedded systems reverse engineering.
Real-time Embedded End-to-End Low Level software development on various unique embedded platforms and environments.

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.

As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

Research Areas
Query Processing and Query Engines: Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

Storage Systems: Deduplication, compression, and data layout optimization for large-scale storage.

Data Integration and Discovery: Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

Information Retrieval and RAG: Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

LLM Evaluation and Benchmarking: Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

LLMs for Software Engineering: CI failure diagnosis, automated debugging, and program repair.

We are seeking a talented and versatile Senior Threat Detection Engineer to work with us in Herzliya with expertise in iOS and Android security. As a key member of our engineering team, you will play a crucial role in designing and developing complex compromise detection solutions and providing advanced professional services to customers to assist them in determining whether their mobile devices have been compromised.

Responsibilities:
Design and develop mobile focused on-device and off-device malware and compromise detection solutions that enable forensic analysis, including infrastructure, features, classification logic, tools, proof of concepts, heuristics and signatures for Android and iOS devices.
Represent the Company in front of customers by providing advanced professional services including malware and indicator of compromise analysis to determine if devices have been compromised, as well as professional training sessions.
Develop and implement components and features using C, C++, Python, assembly, Java, JavaScript, Go, Rust and other programming languages as needed, while employing secure coding practices and ensuring optimal performance, responsiveness, and cross-platform compatibility in line with product specifications.
Represent the company in front of potential customers and partners by conducting technical demonstrations, participating in meetings and other pre and post sales engagements.
The position may require local and international travel.

As a Security Researcher you will focus on simulating our most advanced adversaries against our data collection products affecting thousands of customers.
You will acquire significant knowledge of the web application security field, building new machine learning data collection methods and helping to scale the company collection platform to new levels as our customer base continues to grow.
Why You'll Love It:
You'll be reversing some of the best anti-bot systems on the planet - it doesn't get more cutting-edge than this.
You'll have a real say in the projects you're part of - this isn't a "just execute" kind of role.
You can actively shape the way this team works - it's still being built, and your fingerprints will be on it.
Got an idea? You can take it straight to the COO - no red tape, no politics.
The people make it - SecRes and our company are genuinely great teams to be part of.
*Fully remote position
Responsibilities
Conducting in-depth research on tools or services that prevent the free collection of public web data.
Building and improving HTTP client solutions to guarantee the success of our company's Data collection efforts.
Identifying new standards and technologies that could impact our data collection capabilities.
Reverse engineering adversary solutions to prevent fingerprinting solutions from stopping us.
Theres much more.

We're looking for an experienced Security Researcher to join our R&D organization and work alongside a team of attack-oriented researchers. You'll conduct hands-on offensive security research across multiple domains including Windows internals, kernel-level security, cloud platforms, web technologies, and AI. Your work will directly shape the attack methodologies that power our automated platform, translating deep technical research into new offensive techniques and AI-driven decision-making capabilities.
Roles and Responsibilities:
Conduct hands-on offensive security research across AV/EDR evasion, binary exploitation, vulnerability discovery, and subversion of communication channels across OS-level, domain, cloud-native, and external surfaces
Translate research outputs into production-grade attack functionalities within our automation ecosystem, working closely with product and engineering teams
Contribute to the integration of AI-driven decision-making into the platform's automated operations
Share knowledge, document findings, and contribute to a culture of continuous learning within the team.

We are looking for an experienced Security Research Team Lead to join our R&D organization and lead a team of attack-oriented security researchers. You will set the research direction across multiple domains, from Windows internals and kernel-level security to cloud platforms, web technologies, and AI, ensuring your team stays one step ahead of real threat actors.
Your team's research and attack methodologies will feed directly into our automated attack platform, enhancing its capabilities with new offensive techniques and AI-powered decision-making algorithms.
Roles and Responsibilities:
Lead, mentor, and grow a team of security researchers, setting priorities and driving execution.
Define the team's research roadmap across areas such as AV/EDR evasion, binary exploitation, vulnerability discovery, and subversion of communication channels across OS-level, domain, cloud-native, and external surfaces.
Accompany hands-on research alongside the team, maintaining deep technical credibility.
Collaborate with product and engineering teams to translate research outputs into production-grade attack functionalities within our automation ecosystem.
Drive the integration of AI-driven decision-making into the platform's automated operations.
Foster a culture of innovation, knowledge sharing, and continuous learning within the team.
Represent the research function in cross-team planning, roadmap discussions, and stakeholder alignment.

We are seeking a talented Penetration Tester & Researcher to lead complex offensive security engagements and groundbreaking research. You will execute sophisticated attack simulations, identify high-value vulnerabilities, and collaborate with clients to enhance their security posture.
This role offers a balance between hands-on technical assessments and original research that shapes the broader cybersecurity community.
Roles and Responsibilities:
Conduct advanced penetration tests across web, mobile, and thick-client applications.
Contribute to internal tools, scripts, and methodologies that enhance efficiency.
Design and simulate real-world attack chains reflecting modern threat actors.
Perform vulnerability research, exploit development, and threat modeling.
Research, develop, and implement offensive security methodologies utilizing AI technologies.
Produce detailed technical reports with actionable remediation strategies.
Collaborate directly with clients to guide mitigation and improve resilience.
Publish research, present findings, and represent us at conferences or in public forums.

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.

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.

we are looking for a Lead Endpoint Researcher.
What You'll Do
Research AI coding agent runtimes, reverse-engineer how tools such as Claude Code, Cursor, Copilot CLI, Codex, and emerging agents execute commands, access files, spawn processes, and interact with the operating system.
Design agent sandboxing architectures that safely constrain filesystem access, networking, process execution, credentials, and other sensitive endpoint capabilities.
Explore and implement OS-native isolation mechanisms across macOS, Windows, and Linux, including containers, namespaces, sandbox profiles, virtualization, restricted processes, and permission models.
Build endpoint "harnesses" that allow TokenShift to intercept, control, observe, and modify agent execution flows.
Design infrastructure for deploying and running local LLMs across heterogeneous endpoint fleets, accounting for operating system, CPU architecture, GPU availability, memory constraints, and hardware acceleration.
Evaluate local inference runtimes and model formats such as llama.cpp, MLX, ONNX Runtime, Ollama, vLLM-compatible runtimes, and emerging alternatives.
Develop mechanisms for model discovery, installation, versioning, updates, health monitoring, and lifecycle management across large numbers of developer machines.
Research hardware-aware model selection and routing, deciding which models can run effectively on Apple Silicon, NVIDIA GPUs, Windows workstations, Linux machines, CPU-only environments, and other endpoint configurations.
Build benchmarks that measure model latency, throughput, memory consumption, startup time, resource contention, and developer experience on real endpoint hardware.
Investigate security boundaries between local models, cloud-hosted models, agents, MCP servers, shells, and enterprise resources.
Collaborate with the core CLI and platform teams to take endpoint research from prototype through production.
Track the rapidly evolving AI agent, sandboxing, and local inference ecosystems and proactively identify technologies should support.