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We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

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.

Vulnerability Discovery: Research and discover vulnerabilities across AI applications, low-level products, and cloud environments, including the development of functional Proofs-of-Concept (PoCs).

Public Research & PR: Publish technical blogs and present your research at major security conferences.

Technical Product Research: Produce in-depth technical research and conduct reverse engineering of security products to directly support the development of product and platform.

Stay up to date with newly discovered CVEs, attack techniques, and threat trends

Cross-Functional Collaboration: Partner with product and engineering teams to help improve security.

We are looking for an AI-savvy Product Manager to join Torq as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response) and strong understanding of agentic AI.

Youll own parts of Torqs agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure.

What Youll Be Doing

Lead critical parts of Torqs agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering
Become an expert in Torqs AI SOC offering and in Torqs Platform as a whole
Represent the customers voice inside Torq to ensure were staying on the critical path
Work closely with Torqs top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends
Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues

Act as a Customer Security Advisor, conducting threat-hunting activities and performing security assessments on customer networks. Effectively communicate findings, recommendations for remediation, and mitigation strategies to customers
Serve as an escalation point for the SOC analysts, assisting in the investigation, analysis, and response to security incidents
Develop cyber kill-chain indicators of an attack and hunting heuristics to enhance the ongoing threat-hunting process
Enhance the product accuracy and its capacity to detect emerging threats within the dynamic security landscape

We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era.

Responsibilities:
Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection.
Define and drive product strategy for AI Security initiatives across platform.
Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams.
Define product requirements and oversee the implementation of new AI Security capabilities and services.
Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs.
Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction.
Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact.
Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market.
Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership.

We are looking for proactive, analytical, talented people to join the Security Content team.
As a Research Engineer (Security Network & Apps), you will add content to Catos security and network products such as NGWF, CASB, DLP, and more.
Using agentic AI tools (Claude code, Cursor) and modern big data analysis frameworks (Redash, Athena), and network and web analysis tools to analyze network protocols and application traffic.



Responsibilities:

Research and analyze network and application behavior as part of Cato Networks security products (NGFW, CASB, DLP, and more).
Lead cross-team projects to deliver product development outcomes in partnership with Engineering and Product.
Focus on the customers impact and understand the business perspective.
Suggest and conduct new research vectors.
Work with AI tools and coding agents to automate your work and improve efficiency.
Utilize Catos Data Warehouse with big-data technologies to support your work.