Were looking for a Cloud Security Researcher to drive runtime threat research for our Cloud Detection and Response (CDR) capabilities - understanding how attackers behave inside live cloud workloads and turning that into detections that protect our customers. As a senior member of the team, youll also mentor our junior researcher.
On a typical day youll:
Research attacker tradecraft against live cloud workloads - compute, containers, Kubernetes, serverless - covering execution, privilege escalation, persistence, lateral movement, and evasion
Analyze telemetry from AWS CloudTrail, GCP Audit Logs, Azure Activity Logs, and runtime/sensor data to investigate threats and translate findings into detection logic
Partner with sensor and detection engineers on feasibility, coverage, and signal quality
Run threat simulations and attack emulation to validate coverage and surface gaps
Track emerging threats and CVEs across AWS, Azure, and GCP, feeding them into detection priorities
Produce externally publishable research - blog posts, whitepapers, threat reports - and represent us at conferences and webinars
Mentor our junior researcher in detection engineering, runtime analysis, and research rigor.

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.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you.
We're looking for a Manager to lead a security research team for detection and response across cloud environments.
This is an opportunity to lead an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Manage a team of security researchers conducting research on attacks against cloud data , Kubernetes and containers.
Lead, mentor, and grow a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the strategy and execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Oversee simulation of real-world attacks and deep behavioral analysis to inform and validate detection content.
Foster collaboration across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Represent the team and share insights with the security community through blogs, conference talks, and publications.

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.

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 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 seeking a Senior Security Researcher to join our highly technical product research team working at the core of our security products.
This is a rare opportunity to join an elite security research team and do work that directly shapes our AI and Cloud products. Your research will span cloud infrastructure, AI systems, emerging platforms, and modern architectures.
You will perform novel security research, inform product direction, and contribute to our company's thought leadership in cloud and AI security.
We are looking for an exceptional security researcher who thrives on variety and can quickly develop expertise in new areas.
Your Role:
Drive research direction across multiple domains including cloud security, AI security, and emerging threat landscapes.
Perform novel security research to uncover new attack vectors, and adversary techniques across cloud and AI systems.
Translate research findings into actionable product capabilities, detection logic, and risk prioritization guidance.
Stay current with evolving threats across cloud platforms and AIecosystems, identifying where our company should invest next.
Write and speak about security research to strengthen our company's voice in cloud and AI security.
Collaborate with product and engineering teams to translate research into shipped capabilities.

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.

If you are an innovator at heart and passionate about redefining how organizations secure modern environments end-to-end, we're looking for you. This is an opportunity to join an exceptional group of researchers working on a startup-level product within the largest security company, helping revolutionize how organizations protect their Kubernetes and hybrid cloud environments.
Key Responsibilities
Contribute to a team of talented security researchers focused on defending organizations as they transition from on-premises data centers to modern cloud and Kubernetes infrastructure.
Drive the execution of research initiatives to uncover novel techniques for detecting and responding to sophisticated attacks targeting hybrid and cloud-native environments.
Define and prioritize detection use cases, relevant datasets, and innovative analytic approaches combining runtime visibility and posture management across diverse platforms.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs to ensure our detection capabilities stay ahead of evolving threats in both legacy and cloud contexts.
Simulate real-world attacks and perform deep behavioral analysis to inform and validate detection content.
Collaborate across engineering, product management, and go-to-market teams to deliver impactful security solutions.
Share insights with the security community through blogs, conference talks, and publications.