Lead Security Researcher - AI Threat Intelligence

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it!

Cato Networks is 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 Cato Networks, 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.
Requirements:
At least 5 years of hands-on experience in cybersecurity, threat intelligence, security research, or security analysis
Strong understanding of the cybersecurity threat landscape, including threat actors, malware, phishing, C&C, exploitation, cloud threats, and attacker behavior
Proven experience in threat intelligence research, including IOCs, TTPs, MITRE ATT&CK, campaign tracking, and threat actor profiling
Strong data exploration skills, with practical experience using SQL to analyze large-scale security datasets
Experience using AI tools, AI coding assistants, and agentic workflows for research, automation, and data analysis
Ability to build scripts, internal tools, or agentic systems to support threat research and intelligence workflows
Strong technical writing skills, with experience publishing blogs, reports, whitepapers, or public research
Strong presentation skills, with the ability to represent the company at conferences and external events
Self-learner with high curiosity, strong ownership, and the ability to manage complex research independently
Ability to collaborate effectively with cross-functional teams, including product, engineering, and data teams
Fluent English with excellent written and verbal communication skills
Willingness to travel abroad for conferences, customer events, and company events at least six times per year
Advantageous:
Experience researching AI threats, LLM abuse, AI-assisted attacks, or AI-powered detection
Experience building agentic systems, automation frameworks, or AI-based research workflows
Background in engineering, backend systems, data infrastructure, or security platform development
Experience with data warehouses, BI tools, notebooks, or large-scale telemetry analysis
Experience with XDR, MDR, SIEM, EDR, NDR, SASE, or cloud security products