דרושים » תוכנה » Senior Security Researcher

we are looking for a Senior Security Researcher to join our research team. In this role, you will be at the bleeding edge of AI security, leading deep-dive research into AI products, LLM frameworks, and modern Agentic AI ecosystems.
You will combine hands-on defensive and offensive research techniques with cutting-edge platform to analyze modern AI products, dissect non-human identity architectures, and uncover privilege escalation paths in dynamic AI agent workflows. In this role, you will bridge deep security research, product engineering, and technical storytelling turning novel insights into real-world enforcement mechanisms, core platform capabilities, high-impact blogs, and talks at top global security conferences.
What We Do:
The Frontier of Identity and Agentic AI Security
we are pioneering the AI Agent & Non-Human Identity NHI) security space. Research-Driven Innovation
Our research directly powers our product capabilities uncovering complex identity attack vectors, analyzing enterprise AI products, and building security enforcement models for autonomous AI Agents.
Thought Leadership & PR We showcase our findings to the broader security community through technical publications, vulnerability disclosures, and global conference presentations. Innovation via Automation
We use AI Agents ourselves to accelerate research workflows, streamline environment analysis, and build smarter security checks. Direct Market & Product Impact
Our research bridges deep technical investigation and real-world defense, powering core platform enforcement 1 Senior Security Researcher capabilities, threat intelligence, and high-impact advisory for global enterprise customers.

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.

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.

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.

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.

As a key member of our research team, youll help us stay ahead of rapidly evolving threats by uncovering vulnerabilities, analyzing adversarial techniques, and producing groundbreaking insights that directly influence our product, marketing, and customer strategy.

Youll work alongside world-class engineers and security experts to conduct deep technical research, simulate real-world attacks, and create impactful proof-of-concepts (PoCs) that showcase how to protect AI-driven systems. This role is ideal for a hands-on security researcher who thrives on curiosity, creativity, and rigor, someone who wants to shape the future of AI security in a fast-moving product startup.

What Youll Do:
Drive AI Security Research: Investigate vulnerabilities in AI models, agentic platforms, and infrastructure- covering risks like prompt injection, adversarial manipulation, and model abuse.
Build Proof-of-Concepts: Develop technical PoCs that demonstrate real-world security threats and defenses, supporting both product validation and thought leadership.
Research new Prompt injection techniques: Implement novel techniques of adversarial attacks on AI systems in our automated red team module to evaluate resilience and inform customer-focused security offerings.
Track Competitors & Trends: Research the broader ecosystem of AI and cybersecurity to identify competitor capabilities, market shifts, and innovation opportunities.
Collaborate Across Teams: Partner with engineering and product to translate research into practical protections, product features, and marketing content.

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.

we are looking for a Senior Product Security Researcher.
As a Security Researcher, you'll own and evolve the core of the Oak 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.

We're looking for an experienced Application Security Researcher to help customers maximize the value of our AI-powered offensive security platform.

In this role, you'll work hands-on with customer environments, validate security findings, investigate complex application vulnerabilities, and help organizations understand, reproduce, and remediate the risks identified by our platform.

You'll collaborate closely with customers, Product, Engineering, AI Research, and Customer Success teams, providing valuable feedback that continuously improves the platform while serving as a trusted technical advisor throughout the customer journey, from complex deployments to production investigations.

This is an ideal role for someone with a strong offensive security background who enjoys combining technical research with customer interaction and wants to help shape the future of AI-driven application security.

Responsibilities
Validate vulnerabilities discovered by our AI platform and provide clear technical evidence of successful exploitation.
Perform hands-on testing of modern web applications and APIs to verify findings and identify additional attack paths.
Analyze complex application security issues, including authentication, authorization, business logic flaws, and API vulnerabilities.
Help customers understand security findings, reproduce vulnerabilities, assess risk, and implement remediation recommendations.
Investigate cases where the platform missed, misclassified, or incorrectly assessed vulnerabilities and provide actionable feedback to Product and Engineering teams.
Collaborate closely with AI Research and Engineering teams to improve detection accuracy, attack coverage, and platform capabilities.
Develop new attack methodologies and validation techniques for modern web applications.
Stay current on emerging application security trends, offensive techniques, and modern attack methodologies.
Support customers during complex deployments, integrations, and production troubleshooting, including BYOM deployments and connectivity to internal applications.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities:
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.