Security Researcher

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Reco

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

💰 $25M Series unknown on 2025-05

Cybersecurity • SaaS • Artificial Intelligence

Reco is a Dynamic SaaS Security company offering a platform that discovers, governs, and secures SaaS applications and AI agents across their entire lifecycle. The platform provides SSPM (security posture management), SaaS app and shadow-AI discovery, identity & access governance, data exposure management, real-time threat detection & response, and AI governance features (Reco AI Agents and generative AI discovery). Reco integrates with 200+ SaaS apps and is designed to help enterprises continuously reduce SaaS attack surface, maintain compliance, and manage AI/agentic risk.

📋 Description

• Analyze large-scale SaaS security data, investigate incidents, and develop advanced threat detection strategies. • Dive deep into terabytes of SaaS Application data to identify new attack vectors, emerging threats, and vulnerabilities across various attack surfaces. • Utilize technical prowess to investigate complex SaaS & AI security incidents, analyzing data from diverse SaaS applications to uncover root causes and methods of attack. • Leverage expertise in data analysis and correlation to fine-tune detection rules and algorithms, minimizing false positives and enhancing the accuracy of threat alerts. • Drive thought leadership initiatives by creating technical blog posts, delivering webinars, and speaking at conferences to share insights and educate the community.

🎯 Requirements

• A background of at least 5 years in cybersecurity, preferably in SOC, SIEM, Threat Intelligence, or Cloud Security • Experience with SaaS security challenges, such as shadow IT, OAuth risks, IDP misconfigurations, and excessive permissions. • Hands-on experience with security data analysis, including large-scale log processing, anomaly detection, and behavioral analytics. • Proficiency in SQL (e.g., ClickHouse) for querying security events and correlating threat indicators. • Strong understanding of identity-based attacks, insider threats, and SOC detection methodologies. • Familiarity with SIEM and XDR solutions (e.g., Splunk, Sentinel, Chronicle) and their role in modern detection engineering. • Strong problem-solving and analytical skills to triage security incidents and optimize detection rules.