דרושים » אבטחת מידע וסייבר » AI Security Researcher

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.

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 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.

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.

Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at Palo Alto Networks gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

we are looking for a Security Researcher.
As a Security Researcher, you will play a crucial role in researching, building, and enhancing our cutting-edge technology to address the evolving cybersecurity challenges faced by the world's largest enterprises.
Responsibilities
Research, develop, and implement new offensive security capabilities that push the boundaries of the EASM category, including exploit development and PoC creation across web applications, AI/LLM assets, network infrastructure, cloud environments, and supply chain dependencies.
Drive innovation by conceptualizing, implementing, and adopting AI-driven initiatives and offensive security expertise to enhance detection, validation, and automation capabilities at scale.
Conduct in-depth research to continuously expand platform coverage.
Develop exploitability tests to uncover critical, real-world findings across enterprise attack surfaces - directly demonstrating the power of the platform.
Collaborate with global enterprises as design partners to understand their security needs and design solutions accordingly.
Take ownership of key research projects, addressing security and scalability challenges from concept through to delivery.

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 are looking for a AI Research Engineer, Security.
Our Research team operates like a startup inside : strategic, high-ownership, and working directly with leadership. We drive the innovation behind AI-native platform, researching and prototyping the next generation of capabilities and guiding both product and go-to-market teams in bringing them to customers. We work at the edge of the security industry, envisioning and building first-of-their-kind, category-defining agentic development security solutions.
What You Will Do:
Research and prototype novel approaches to application security that go beyond traditional AppSec tooling.
Build proofs-of-concept for advanced prevention, detection, triage, and remediation capabilities.
Design experiments and validate new security features through data-driven testing.
Partner with product and engineering to bring successful POCs into the core platform.
Evaluate and optimize LLM-based agents and model outputs for security use cases.

We are seeking a visionary and highly technical Principal / Sr. Principal Security Researcher to join our security research team. In this role, you will be at the forefront of innovating automated defense systems to rapidly protect platform customers against advanced cyber threats at an unprecedented scale. This position offers a unique opportunity to blend deep traditional cybersecurity expertise - including OS internals, reverse engineering, and advanced detection engineering with cutting-edge AI technologies like LLMs, SLMs, and agentic workflows.
You will spearhead the creation of innovative prevention solutions, leveraging massive streams of agent telemetry to design AI-driven logic that neutralizes threats before they execute. As a key technical leader, you will partner closely with top-tier data scientists and product engineers to translate cutting-edge security research into production-grade capabilities, ensuring we stay ahead of the evolving threat landscape.
Key Responsibilities
Develop Automated Defense Systems:Create, engineer, and deploy automated solutions for the prevention and detection of advanced cyber threats, analyzing complex data to rapidly protect platform customers at scale.
Innovate with AI:Partner closely with data scientists to leverage LLMs, SLMs & deeplearning techniques to fuel these advanced prevention solutions and automated defense capabilities.
Enhance Palo Alto Networks Agentix:Research, develop, and continuously improve the Agentix solution. Drive the development of next-generation security content by designing and implementing specialized AI agents to automate security operations and workflows.
Drive Security Innovations:Spearhead new research initiatives from the ground up. Act as the primary driver across key stakeholders, leading top-tier data scientists and engineers to ensure the successful delivery of enterprise-grade security capabilities.

We are looking for an AI Researcher to help build the intelligence behind our AI security platform.

This is a hands-on research role focused on understanding how modern large language models and AI agents behave, identifying new attack vectors and protection techniques, and translating cutting-edge research into production-ready capabilities. The intelligence developed by this team is a core differentiator of our platform and a key driver of the company's success.

You will work at the intersection of machine learning, LLMs, and cybersecurity, partnering closely with AI engineers and product teams to develop technologies that directly power our product. We're looking for someone who enjoys understanding how neural networks and foundation models work, pushes the boundaries of AI research, and is excited to see their work deployed into production and used by customers.

What you will do
Research the behavior, capabilities, and limitations of modern large language models and AI agents.
Design novel techniques for detecting, evaluating, and proactively protecting against AI threats, prompt injection, model misuse, and emerging attack vectors.
Develop new approaches for securing AI systems and improving the intelligence that powers our platform.
Design and run experiments to evaluate model behavior, validate new ideas, and measure the effectiveness of protection techniques.
Build research prototypes and turn them into production-ready capabilities.
Work closely with Product and Engineering to translate research into scalable product features.
Stay current with advances in LLMs, foundation models, post-training techniques, AI security, and AI safety.
Contribute to the long-term technical direction of our AI security platform.